Find Your Dream Analytics Job

About Delta Tech Hub:

Delta Air Lines (NYSE: DAL) is the U.S. global airline leader in safety, innovation, reliability and customer experience. Powered by our employees around the world, Delta has for a decade led the airline industry in operational excellence while maintaining our reputation for award-winning customer service. With our mission of connecting the people and cultures of the globe, Delta strives to foster understanding across a diverse world and serve as a force for social good. Delta has fast emerged as a customer-oriented, innovation-led, technology-driven business. The Delta Technology Hub will contribute directly to these objectives. It will sustain our long-term aspirations of delivering niche, IP-intensive, high-value, and innovative solutions. It supports various teams and functions across Delta and is an integral part of our transformation agenda, working seamlessly with a global team to create memorable experiences for customers.

Summary of responsibilities (not comprehensive of all tasks):

Data Analytics Support:

• Support Propulsion Engineering with the business rules being applied for data centralization and data architecture.
• Partner with the Propulsion Engineering data team to support the identification and implementation of new data analytic requirements with data visualization, web analytics and data science.
• Partner with IT and other internal business groups as necessary to support deployment and product ionization of new analytical data requirements.
• Update and distribute the reoccurring reporting for the group and manage the reference tables.
• Product Support for the Propulsion Engineering webpage.

What you need to succeed (minimum qualifications):

• Bachelor of Engineering Degree (aerospace or mechanical preferred) or comparable experience in an engineering related discipline.
• Should have a technical knowledge of aircraft engines, engine shop processes, engine manuals and standards, and regulatory requirements.
• Previous Airline, OEM or MRO experience with commercial aircraft engines.
• Experience with SQL databases; specifically, DB2, Oracle, MSSQL, and MySQL
• Experience with data visualization in Tableau
• Experience with data analytics software packages such as Alteryx, R and/or Python
• Familiarity with airline flight operations and support system.
• Strong written and oral communication skills.
• Strong interpersonal skills.
• Embrace diverse people, thinking, and styles.
• Must be willing to travel as required.

Your potential, unleashed.

India's impact on the global economy has increased at an exponential rate and Deloitte presents an opportunity to unleash and realise your potential amongst cutting edge leaders, and organisations shaping the future of the region, and indeed, the world beyond.

At Deloitte, your whole self to work, every day. Combine that with our drive to propel with purpose and you have the perfect playground to collaborate, innovate, grow, and make an impact that matters.

The team

Today's business challenges present a new wave of HR, talent and organization priorities. Deloitte's Human Capital services leverage research, analytics, and industry insights to help design and execute critical programs from business driven HR to innovative talent, leadership, and change programs. Learn more about Human Capital Practice

Your work profile

As a Senior Consultant in our People Analytics Team you'll build and nurture positive working relationships with teams and clients with the intention to exceed client expectations: -

• Act as a People Analytics ambassador for our clients, making them aware of its possibilities, explaining the benefits, and articulating how we can help them create a culture of insights-driven people processes and programs
• Drive the People Analytics strategy for Deloitte, design new products and offerings around the HR function and translating these into a concrete strategy and road-map for the future
• Partner with the Client HR and leadership team and master translating business needs into data-driven solutions
• Collect and compile people data, define appropriate metrics, utilise storytelling to create report design and delivery, and make recommendations based on trends or patterns
• Identify opportunities to drive greater organizational impact through analytics
• Build strong relationships with clients and foster business growth, Co-create solutions and assist clients in developing action plans, Manage end to end projects
• Refine complex analytical results into presentable, digestible, and actionable recommendations and insights for the clients
• Drive development of assets and methodologies, development of point-of-view, research or white papers, support development of marketing collateral, public speaking and publication in industry periodicals.
• Collaborate with multiple stakeholders across various teams within Deloitte to help create viable products as well as client stakeholders to help drive product usage

Desired qualifications and SKills

• MBA OR Masters in I/O Psychology/ Behavior Science /Analytics field
• 4+ years of experience in core data analysis and visualization role (internal / external consulting experience or functional knowledge of HR domain preferred)
• Demonstrate strong business acumen with the ability to design data-driven solutions, apply structured problem-solving approaches, and translate complex business challenges into actionable insights
• Fluency in end-to-end data handling and pipeline building for dashboards
• Working knowledge of analysis techniques and data engineering
• Expertise in data handling, transformation, pipelines and visual data analysis
• Expertise in design and development of intuitive dashboards using data visualization platforms like Power BI, Tableau is required
• Data interpretation with working knowledge of analytic models and digital tools
• Knowledge of people management-related areas (workforce transformation, workforce and talent strategy, organization culture, change strategy, stakeholder assessment, change impact analysis, organization design, and business readiness)
• Working experience in Python programming, especially for data analysis & manipulation (including Pandas) is a plus
• Superb analytical skills; hands-on experience manipulating and deriving insight from large datasets
• Expert PPT and Excel skills
• Excellent verbal, written, interpersonal communication abilities (English language) including skills in explaining technical topics to novices and collaborating with Subject Matter Experts and other stakeholders
• Ability to develop strategic recommendations

Location and way of working

• Base location: Mumbai, Gurgaon, Bangalore
• This profile involves occasional travelling to client locations
• Hybrid is our default way of working. Each domain has customised the hybrid approach to their unique needs.

Your role as a Consultant

We expect our people to embrace and live our purpose by challenging themselves to identify issues that are most important for our clients, our people, and for society.

In addition to living our purpose, Senior Executive across our organization must strive to be:

• Inspiring - Leading with integrity to build inclusion and motivation
• Committed to creating purpose - Creating a sense of vision and purpose
• Agile - Achieving high-quality results through collaboration and Team unity
• Skilled at building diverse capability - Developing diverse capabilities for the future
• Persuasive / Influencing - Persuading and influencing stakeholders
• Collaborating - Partnering to build new solutions
• Delivering value - Showing commercial acumen
• Committed to expanding business - Leveraging new business opportunities
• Analytical Acumen - Leveraging data to recommend impactful approach and solutions through the power of analysis and visualization
• Effective communication - Must be well abled to have well-structured and well-articulated conversations to achieve win-win possibilities
• Engagement Management / Delivery Excellence - Effectively managing engagement(s) to ensure timely and proactive execution as well as course correction for the success of engagement(s)
• Managing change - Responding to changing environment with resilience
• Managing Quality & Risk - Delivering high quality results and mitigating risks with utmost integrity and precision
• Strategic Thinking & Problem Solving - Applying strategic mindset to solve business issues and complex problems
• Tech Savvy - Leveraging ethical technology practices to deliver high impact for clients and for Deloitte
• Empathetic leadership and inclusivity - creating a safe and thriving environment where everyone's valued for who they are, use empathy to understand others to adapt our behaviours and attitudes to become more inclusive.

How you'll grow

Connect for impact

Our exceptional team of professionals across the globe are solving some of the world's most complex business problems, as well as directly supporting our communities, the planet, and each other. Know more in our Global Impact Report and our India Impact Report .

Empower to lead

You can be a leader irrespective of your career level. Our colleagues are characterised by their ability to inspire, support, and provide opportunities for people to deliver their best and grow both as professionals and human beings. Know more about Deloitte and our One Young World partnership.

Inclusion for all

At Deloitte, people are valued and respected for who they are and are trusted to add value to their clients, teams and communities in a way that reflects their own unique capabilities. Know more about everyday steps that you can take to be more inclusive. At Deloitte, we believe in the unique skills, attitude and potential each and every one of us brings to the table to make an impact that matters.

Drive your career

At Deloitte, you are encouraged to take ownership of your career. We recognise there is no one size fits all career path, and global, cross-business mobility and up / re-skilling are all within the range of possibilities to shape a unique and fulfilling career. Know more about Life at Deloitte.

Everyone's welcome entrust your happiness to us

Our workspaces and initiatives are geared towards your 360-degree happiness. This includes specific needs you may have in terms of accessibility, flexibility, safety and security, and caregiving. Here's a glimpse of things that are in store for you.

Senior Consultant - NetSuite Analytics Warehouse

We are seeking a skilled NetSuite Analytics Warehouse (NSAW) Specialist to join our team. The ideal candidate will be responsible for implementing, configuring, and optimizing NetSuite Analytics Warehouse to provide actionable business insights. This role requires expertise in data analytics, business intelligence (BI), and NetSuite ERP to ensure seamless data integration and reporting.

Desired Skills & Experience

Essential Duties & Responsibilities:

Technical Skills Required

• Implement and configure NetSuite Analytics Warehouse (NSAW) to align with business requirements.
• Develop and maintain dashboards, reports, and visualizations for key business metrics.
• Integrate NSAW with NetSuite ERP and other business systems to ensure data accuracy and consistency.
• Optimize ETL processes and manage data pipelines to enhance performance.
• Work closely with stakeholders to understand reporting needs and deliver actionable insights.
• Ensure data integrity, governance, and compliance with company policies.
• Troubleshoot issues related to data extraction, transformation, and visualization.
• Provide end-user training and documentation on NSAW tools and functionalities.
• Stay updated on the latest NetSuite and data analytics trends to enhance system capabilities.

Delivery Leadership:

• Develop and maintain comprehensive project plans, detailed risk assessments, and regular status reports.
• Coordinate with cross-functional teams to align mappings and business requirements.
• Manage project scope, proactively identifying and mitigating risks or potential delays.
• Facilitate clear communication and effective collaboration between functional teams and business stakeholders.
• Provide mentorship and guidance to project team members to ensure successful project delivery.

Skills & Qualifications:

• Bachelor's degree in Computer Science, Information Systems, Business Analytics, or related field.
• 5+ years of experience with NetSuite, Business Intelligence (BI), or Data Analytics.
• Hands-on experience with NetSuite Analytics Warehouse (NSAW) and SuiteAnalytics.
• Strong knowledge of SQL, data modeling, and ETL processes.
• Experience with BI tools such as Oracle Analytics Cloud (OAC), Tableau, or Power BI.
• Understanding financial reporting, KPIs, and business performance metrics.
• Ability to work collaboratively with cross-functional teams.
• Strong problem-solving skills and attention to detail.

Shift Timings

2 PM - 11 PM IST

Your potential, unleashed.

India's impact on the global economy has increased at an exponential rate and Deloitte presents an opportunity to unleash and realise your potential amongst cutting edge leaders, and organisations shaping the future of the region, and indeed, the world beyond.

At Deloitte, your whole self to work, every day. Combine that with our drive to propel with purpose and you have the perfect playground to collaborate, innovate, grow, and make an impact that matters.

The team

Today's business challenges present a new wave of HR, talent and organization priorities. Deloitte's Human Capital services leverage research, analytics, and industry insights to help design and execute critical programs from business driven HR to innovative talent, leadership, and change programs. Learn more about Human Capital Practice

Your work profile

As a Senior Consultant in our People Analytics Team you'll build and nurture positive working relationships with teams and clients with the intention to exceed client expectations: -

• Act as a People Analytics ambassador for our clients, making them aware of its possibilities, explaining the benefits, and articulating how we can help them create a culture of insights-driven people processes and programs
• Drive the People Analytics strategy for Deloitte, design new products and offerings around the HR function and translating these into a concrete strategy and road-map for the future
• Partner with the Client HR and leadership team and master translating business needs into data-driven solutions
• Collect and compile people data, define appropriate metrics, utilise storytelling to create report design and delivery, and make recommendations based on trends or patterns
• Identify opportunities to drive greater organizational impact through analytics
• Build strong relationships with clients and foster business growth, Co-create solutions and assist clients in developing action plans, Manage end to end projects
• Refine complex analytical results into presentable, digestible, and actionable recommendations and insights for the clients
• Drive development of assets and methodologies, development of point-of-view, research or white papers, support development of marketing collateral, public speaking and publication in industry periodicals.
• Collaborate with multiple stakeholders across various teams within Deloitte to help create viable products as well as client stakeholders to help drive product usage

Desired qualifications and Skills

• MBA OR Masters in I/O Psychology/ Behavior Science /Analytics field
• 4+ years of experience in core data analysis and visualization role (internal / external consulting experience or functional knowledge of HR domain preferred)
• Demonstrate strong business acumen with the ability to design data-driven solutions, apply structured problem-solving approaches, and translate complex business challenges into actionable insights
• Fluency in end-to-end data handling and pipeline building for dashboards
• Working knowledge of analysis techniques and data engineering
• Expertise in data handling, transformation, pipelines and visual data analysis
• Expertise in design and development of intuitive dashboards using data visualization platforms like Power BI, Tableau is required
• Data interpretation with working knowledge of analytic models and digital tools
• Knowledge of people management-related areas (workforce transformation, workforce and talent strategy, organization culture, change strategy, stakeholder assessment, change impact analysis, organization design, and business readiness)
• Working experience in Python programming, especially for data analysis & manipulation (including Pandas) is a plus
• Superb analytical skills; hands-on experience manipulating and deriving insight from large datasets
• Expert PPT and Excel skills
• Excellent verbal, written, interpersonal communication abilities (English language) including skills in explaining technical topics to novices and collaborating with Subject Matter Experts and other stakeholders
• Ability to develop strategic recommendations

Location and way of working

• Base location: Mumbai, Gurgaon, Bangalore
• This profile involves occasional travelling to client locations
• Hybrid is our default way of working. Each domain has customised the hybrid approach to their unique needs.

Your role as a Senior Consultant

We expect our people to embrace and live our purpose by challenging themselves to identify issues that are most important for our clients, our people, and for society.

In addition to living our purpose, Senior Executive across our organization must strive to be:

• Inspiring - Leading with integrity to build inclusion and motivation
• Committed to creating purpose - Creating a sense of vision and purpose
• Agile - Achieving high-quality results through collaboration and Team unity
• Skilled at building diverse capability - Developing diverse capabilities for the future
• Persuasive / Influencing - Persuading and influencing stakeholders
• Collaborating - Partnering to build new solutions
• Delivering value - Showing commercial acumen
• Committed to expanding business - Leveraging new business opportunities
• Analytical Acumen - Leveraging data to recommend impactful approach and solutions through the power of analysis and visualization
• Effective communication - Must be well abled to have well-structured and well-articulated conversations to achieve win-win possibilities
• Engagement Management / Delivery Excellence - Effectively managing engagement(s) to ensure timely and proactive execution as well as course correction for the success of engagement(s)
• Managing change - Responding to changing environment with resilience
• Managing Quality & Risk - Delivering high quality results and mitigating risks with utmost integrity and precision
• Strategic Thinking & Problem Solving - Applying strategic mindset to solve business issues and complex problems
• Tech Savvy - Leveraging ethical technology practices to deliver high impact for clients and for Deloitte
• Empathetic leadership and inclusivity - creating a safe and thriving environment where everyone's valued for who they are, use empathy to understand others to adapt our behaviours and attitudes to become more inclusive.

How you'll grow

Connect for impact

Our exceptional team of professionals across the globe are solving some of the world's most complex business problems, as well as directly supporting our communities, the planet, and each other. Know more in our Global Impact Report and our India Impact Report.

Empower to lead

You can be a leader irrespective of your career level. Our colleagues are characterised by their ability to inspire, support, and provide opportunities for people to deliver their best and grow both as professionals and human beings. Know more about Deloitte and our One Young World partnership.

Inclusion for all

At Deloitte, people are valued and respected for who they are and are trusted to add value to their clients, teams and communities in a way that reflects their own unique capabilities. Know more about everyday steps that you can take to be more inclusive. At Deloitte, we believe in the unique skills, attitude and potential each and every one of us brings to the table to make an impact that matters.

Drive your career

At Deloitte, you are encouraged to take ownership of your career. We recognise there is no one size fits all career path, and global, cross-business mobility and up / re-skilling are all within the range of possibilities to shape a unique and fulfilling career. Know more about Life at Deloitte.

Everyone's welcome entrust your happiness to us

Our workspaces and initiatives are geared towards your 360-degree happiness. This includes specific needs you may have in terms of accessibility, flexibility, safety and security, and caregiving. Here's a glimpse of things that are in store for you.

What impact will you make?

Every day, your work will make an impact that matters, while you thrive in a dynamic culture of inclusion, collaboration and high performance. As the undisputed leader in professional services, Deloitte is where you will find unrivaled opportunities to succeed and realize your full potentiaL

Deloitte is where you will find unrivaled opportunities to succeed and realize your full potential.

The Team

Deloitte's practice can help you uncover and unlock the value buried deep inside vast amounts of data. Our global network provides strategic guidance and implementation services to help companies manage data from disparate sources and convert it into accurate, actionable information that can support fact-driven decision-making and generate an insight-driven advantage. Our practice addresses the continuum of opportunities in business intelligence & visualization, data management, performance management and next-generation analytics and technologies, including big data, cloud, cognitive and machine learnin g. Learn more about Analytics and Information Management Prac tice.

Job Title: Analyst, Analytics & Insights

Location: Gurgaon

Reports To: Manager, Analytics & Insights

Department: Digital, Data & COO

Job Purpose

The Data Analyst will play a key role in partnering with business stakeholders to understand use case requirements and identify opportunities to deliver business value. This role is responsible for translating business needs into functional specifications, building, and maintaining data assets and dashboards, and delivering actionable insights to stakeholders. The role requires a strong grasp of data analysis, visualisation, and stakeholder engagement within the financial services industry.

Key Responsibilities

• Collaborate with business stakeholders to gather and understand use case requirements.
• Translate business requirements into comprehensive functional specification documentation.
• Design, build, test, and maintain interactive dashboards using Power BI and other NAB visualisation tools to provide at-a-glance actionable insights.
• Identify and document business metrics and work towards standardising data sources and definitions.
• Partner with the onshore team to contribute to the development of reusable data assets and models.
• Refresh and maintain reports in accordance with agreed SLAs, including managing data collection or ingestion tasks.
• Troubleshoot production issues, communicate root cause effectively, and escalate to the onshore team as required.
• Implement minor changes in reports and dashboards, including testing and validation to ensure data integrity.
• Maintain up-to-date documentation for all reports, metrics, and data processes.
• Support and enhance ongoing reporting solutions using target-state data models and dashboards.
• Adhere to compliance and risk management practices, including proactive identification and escalation of issues.

Essential Capabilities

• Proficiency in ETL development and debugging using tools such as SQL, Python, SAS (EG & SMC), O365, and Excel.
• Demonstrated ability to create data visualisations using Power BI to meet business requirements.
• Strong data storytelling and insight communication skills to influence decision-making.
• Understanding of financial services data, data modelling, and inter-data relationships.
• Experience in designing and building data pipelines, including handling diverse data types and missing data.
• Excellent attention to detail, self-management, and problem-solving capabilities.
• Strong interpersonal and written/verbal communication skills to work effectively with cross-functional teams.

Experience

• Minimum 2 years of experience in one or more of the following areas within the banking or financial services industry: collections, fraud, lending operations, or payments.
• Proven experience in data analysis, dashboard development, and presenting insights in a clear and impactful way.

Qualifications

Bachelor's degree in business, Data Analytics, Computer Science, Statistics, or a related discipline.

Key Performance Indicators (KPIs)

• Timely delivery and refresh of reports/dashboards aligned with SLAs.
• Accuracy and quality of data presented in dashboards.
• Active participation in risk management and compliance processes.
• Effective stakeholder communication and issue escalation.
• Number of dashboards or models in production and their business impact.

Key Stakeholders

• Business stakeholders across relevant domains.
• Internal leadership team and peers in Australia.
• Analytics teams across the enterprise.
• FRT and T&EO Analytics and Insights leadership team.

Our purpose Deloitte is led by a purpose: To make an impact that matters.

Every day, Deloitte people are making a real impact in the places they live and work. We pride ourselves on doing not only what is good for clients, but also what is good for our people and the

Communities in which we live and work-always striving to be an organization that is held up as a role model of quality, integrity, and positi ve change. Learn more about Deloitte's impact o n the world.

Location: Bengaluru or Pune preferred, hybrid work model

We are on the cusp of a major transformation in our data capabilities, and we are looking for a hands-on Data Platform Engineer to help lead the way. Working alongside a Staff Data Architect and Engineer, you will play a key role in designing and setting up the next generation of our lakehouse and analytics platform - a foundation that will directly drive the next phase of our company's growth and innovation.

This is a unique opportunity to build an entire modern data stack from the ground up, combining cutting-edge open-source tools and cloud-native infrastructure.

Key Responsibilities:

• Hands-on Architecture and Development: Define, design, prototype, and deliver a robust lakehouse and analytics platform leveraging best-in-class technologies.
• Build the Core Platform: Collaborate with the Staff Data Architect to set up core infrastructure involving ingestion (ETL/ELT), warehouse, transformation, orchestration, and BI/analytics layers.
• Leverage Modern Data Stack: Work across an environment involving GCP-based compute instances and containers (Airbyte, ClickHouse, dbt, metriql, Prefect, Metabase, Next.js frontend) - bringing cutting-edge engineering principles to life.
• Optimize for Scale and Security: Implement warehouse best practices, optimize performance for large-scale analytics, and enforce role- and attribute-based access controls.
• Data Modeling Excellence: Design flexible and scalable models to support real-time analytics, complex business queries, and long-term historical analysis.
• Innovation and Automation: Drive automation wherever possible in data ingestion, validation, transformation, and reporting processes.
• Cross-functional Collaboration: Work closely with Product, Engineering, and Leadership teams to ensure alignment with broader company objectives and business strategies.
• Mentor and Uplift: Provide technical mentorship to junior engineers and set high standards for operational excellence across the data organization.
• Drive Success Metrics: Align milestone progress with leadership goals around platform adoption, scalability, reliability, and impact on business KPIs.

What We Look For:

• 5+ years of experience designing, building, and scaling modern data platforms.
• Proven hands-on expertise with ETL/ELT pipelines, cloud-based warehouses (SQL, NoSQL, MPP, OLAP/OLTP), and advanced database optimization.
• Strong SQL and Python skills for data engineering and automation.
• Familiarity with setting up containerized data services (Docker/Kubernetes environments).
• Deep understanding of cloud platforms - at least one of GCP, AWS, or Azure.
• Exposure to analytics workflows and BI environments.
• Strong experience working with Git, Jira, Confluence, Jenkins, and modern DevOps pipelines.

What We'd Love to See:

• Direct experience standing up a lakehouse architecture in a startup or fast-moving environment.
• Hands-on experience with tools such as Airbyte, dbt, Prefect, Metabase, metriql, or equivalents.
• Experience developing customer-facing analytics platforms or embedded analytics solutions.
• Solid foundation in time-series data management, trend analysis, and anomaly detection.
• Ability to thrive in a high-ownership, highly autonomous role with startup energy.

Why Join Us?

• Build the Foundation: You'll help architect a core platform that will power the company's data products and operational excellence for years to come.
• Be Early: As an early member of the team, you'll have outsized influence on technology choices, design decisions, and operational frameworks.
• Own and Accelerate: Take on massive ownership, ship at startup speed, and see your work directly drive business outcomes.
• Culture of Excellence: Join a sharp, no-nonsense team focused on integrity, innovation, and rapid personal and professional growth.

Apply even if you don't meet every single qualification!

Research shows that women and underrepresented groups tend to self-select out of opportunities where they don't meet 100% of the listed criteria. If you're passionate about building transformative data platforms and believe you have the skills to contribute, we strongly encourage you to apply. You might be the perfect addition to our team!

We're Hiring: AVP/VP - Collections Strategy (Digital & Analytics)

Mumbai Fintech / NBFC Fixed CTC: 15-24 LPA + Bonus + ESOPs

At FatakPay, we're scaling fast with 150+ lakh users and a profitable lending business.

We're now looking for a rock-solid collections leader to drive:

End-to-end digital collection strategy - WhatsApp, IVR, BOTs

BOT-driven recoveries across buckets (0-30, 30-60, 60+ DPD)

Analytics-led segmentation and behavioral repayment nudges

Tech + product automation for recovery flows

Cost vs. recovery optimization across digital and human channels

RBI-compliant, respectful communication journeys

Must have:

️ 7-12 yrs in collections (fintech/NBFC preferred)

️ Built/managed digital recovery journeys

️ Data and dashboard native (Excel/SQL)

️ Strong on RBI norms, tech coordination, and performance

If you've worked with tools like Gupshup, Exotel, or built score-based collection models-you'll love this role.

Reach out directly:

Let's build India's most efficient, digital-first collection engine.

Let me know if you'd like a visual post version or carousel to accompany this on LinkedIn.

Data Analytics & Insights Analyst

Astreya offers comprehensive IT support and managed services. These services include Data

Center and Network Management, Digital Workplace Services (like Service Desk, Audio Visual, and

IT Asset Management), as well as Next-Gen Digital Engineering services encompassing Software

Engineering, Data Engineering, and cybersecurity solutions. Astreya's expertise lies in creating

seamless interactions between people and technology to help organizations achieve operational

excellence and growth.

Job Description

We are seeking experienced Data and Insights Analyst to join our analytics division.

• You will be aligned with our Data Analytics and BI vertical and help us generate insights by leveraging the latest Analytics techniques to deliver value to our clients.
• You will also help us apply your expertise in building world-class solutions, conquering business problems, addressing technical challenges using Google Platforms and technologies.
• You will be required to utilize the existing Tools, frameworks, standards, patterns to create architectural foundations and services necessary for Analytics applications that scale from multi-user to enterprise-class
• You will be working as a part of the Google Analytics team which provides analytics, actionable insights and recommendations to internal & external organizations in terms of optimizing ROI & performance efficiency in operations.

Requirements

Experience & Education

• 5+ years of progressive experience in data analytics and business intelligence
• Bachelor's degree required; preferably in Computer Science, Analytics, Statistics,
• or related field
• Proven experience in the IT services industry or managed services provider environment
• Technical Expertise

Technical Expertise

• Extensive experience in Data Science and Advanced Analytics delivery teams
• Strong statistical programming experience - SQL, Python.
• Experience working with large data sets and big data tools like GCP (BigQuery, VertexAI), AWS, MS Azure etc.
• Solid knowledge in at least one of the following -
• Multivariate Statistics, Reliability Models, Markov Models, Stochastic models
• Classification, Regression, Clustering
• Ensemble Modelling (random forest, boosted tree, etc.)
• Experience in at least one of these business domains: Supply Chain, Marketing Analytics, Customer Analytics, Digital Marketing, eCommerce
• Extensive experience in client engagement and business development
• Ability to work in a global collaborative team environment

Industry Knowledge

Understanding of ITIL and IT service management frameworks

Experience with service desk metrics and KPIs

Knowledge of data center and network management analytics

Familiarity with cybersecurity analytics and reporting

Job Title: Senior Associate, Oracle Analytics Cloud Developer and Administrator + Spotfire Specialist

Key Skills: Oracle Analytics Cloud (OAC), Spotfire, Data Visualization, Dashboard Development, SQL

Summary:

We are seeking a skilled Senior Associate with expertise in Oracle Analytics Cloud (OAC) and Spotfire to join our team. The ideal candidate will be responsible for developing, administering, and optimizing analytics solutions to deliver actionable insights and drive business performance.

Minimum Degree Required: Bachelor's degree in computer science/IT, data science, or a relevant field

Degree Preferred: Master's degree in computer science/IT, data science, or a relevant field

Minimum Years of Experience: 5+ years in Oracle Analytics Cloud and Spotfire

Certifications Required: None

Certifications Preferred: Certifications in Oracle Analytics Cloud, Spotfire, AWS Certified Data Analytics, or similar technologies are preferred.

Required Knowledge/Skills:

• Proficiency in developing and administering Oracle Analytics Cloud solutions.
• Expertise in designing and implementing interactive dashboards and reports using Spotfire.
• Strong SQL skills for data querying and manipulation.

Key Responsibilities:

• Develop and manage Oracle Analytics Cloud applications to support business intelligence initiatives.
• Design and create insightful dashboards and visualizations using Spotfire.
• Collaborate with business stakeholders to gather and analyze requirements.
• Ensure data accuracy, consistency, and performance in analytics solutions.
• Provide technical support and troubleshooting for analytics platforms.

Qualifications:

• Proven experience with Oracle Analytics Cloud and Spotfire.
• Strong analytical and problem-solving skills.
• Effective communication and teamwork abilities.

Preferred Skills:

• Experience with other data visualization tools like Tableau.
• Knowledge of ETL processes and data integration.

What We Offer:

• Competitive salary and benefits package.
• Opportunities for professional growth and development.
• A collaborative and innovative work environment.

About McDonald's:

One of the world's largest employers with locations in more than 100 countries, McDonald's Corporation has corporate opportunities in Hyderabad. Our global offices serve as dynamic innovation and operations hubs, designed to expand McDonald's global talent base and in-house expertise. Our new office in Hyderabad will bring together knowledge across business, technology, analytics, and AI, accelerating our ability to deliver impactful solutions for the business and our customers across the globe.

Position Summary:

Manager, Data Analytics (Reporting & Dashboarding COE Support)/ Manager, Reporting & Business Intelligence

The Manager, Reporting & Business Intelligence/ Reporting & Dashboard COE Support role will be a critical component of McDonald's Enterprise Data, Analytics and AI strategy. The role will support data-driven decision-making by analyzing trends, identifying opportunities, and delivering actionable insights. The role will be accountable for answering important business questions and finding ways to automate reports that drive efficiency.

Who we're looking for:

Primary Responsibilities:

• Collect requirements for data analysis based upon business requests. Build project plans for specific analyses based upon the requirements.
• Conduct in-depth analysis using descriptive and perspective techniques.
• Develop comprehensive dashboards with visualizations that can help leaders interpret results and track progress with ease.
• Use modern techniques to automate specific requests. This includes both the automation of specific analyses, as well as the standardization of reports
• Communicate insights from analysis and dashboards to leadership. This includes creating presentations and building summaries into dashboards.
• Collaborate with Tech to enhance data infrastructure based upon reporting needs.

Skill:

• Strong analytical and problem-solving skills with proficiency in data analysis tools and software.
• Experience in data visualization and storytelling to communicate insights effectively. Experience with Tableau is a plus.
• Advanced knowledge of SQL, Python and R is essential.
• Project management experience for data related initiatives at large global companies.
• Educational background in Data Science, Statistics, Computer Science, or a related field.
• 5+ years of Professional experience in data analytics, business intelligence, or a similar role.
• Ability to work collaboratively in cross-functional teams and manage multiple projects.

Work location: Hyderabad, India

Work pattern: Full time role.

Work mode: Hybrid.

Additional Information:

McDonald's is committed to providing qualified individuals with disabilities with reasonable accommodations to perform the essential functions of their jobs. McDonald's provides equal employment opportunities to all employees and applicants for employment and prohibits discrimination and harassment of any type without regard to sex, sex stereotyping, pregnancy (including pregnancy, childbirth, and medical conditions related to pregnancy, childbirth, or breastfeeding), race, color, religion, ancestry or national origin, age, disability status, medical condition, marital status, sexual orientation, gender, gender identity, gender expression, transgender status, protected military or veteran status, citizenship status, genetic information, or any other characteristic protected by federal, state or local laws. This policy applies to all terms and conditions of employment, including recruiting, hiring, placement, promotion, termination, layoff, recall, transfer, leaves of absence, compensation and training.

McDonald's Capability Center India Private Limited ("McDonald's in India") is a proud equal opportunity employer and is committed to hiring a diverse workforce and sustaining an inclusive culture. At McDonald's in India, employment decisions are based on merit, job requirements, and business needs, and all qualified candidates are considered for employment. McDonald's in India does not discriminate based on race, religion, colour, age, gender, marital status, nationality, ethnic origin, sexual orientation, political affiliation, veteran status, disability status, medical history, parental status, genetic information, or any other basis protected under state or local laws.

Nothing in this job posting or description should be construed as an offer or guarantee of employment.

Job Responsibilities

• Design develop and implement Oracle Analytics dashboards reports and data visualization.
• Develop and maintain the RPD Model, ensuring efficient query performance and scalability.
• Optimize query performance by applying best practices in data modelling and report development.
• Work closely with business stakeholder to gather and analyse reporting requirements.
• Implement security configuration (Object-level, row level and role-based security.
• Integrate OAS/OAC with multiple data sources and ensure seamless data flow.
• Develop and enhance data preparation, transformation and analytics workflows.
• Support troubleshooting and performance tuning of OAS/OAC report and dashboard.

Mandatory skills:

• 7+ years of experience in OAS
• Strong expertise in Oracle Analytics Server (OAS) or Oracle Analytics Cloud (OAC)
• Proficiency in OBIEE (Oracle Business Intelligence Enterprise Edition)
• Experience in developing interactive dashboards, report and data visualizations.
• Strong understanding of building RPD (Repository Development)- Physical, Business Model and Presentation layers.
• Expertise in Data Modelling, Performance tuning and metadata management.
• Experience in working with Oracle SQL, PL/SQL and database optimization techniques.
• Hands-on experience in Data Blending and Data Preparation.
• Knowledge of security and Access Control (Row level security, object level security)
• Experience integrating OAS/OAC with various data sources such as Oracle Databases, cloud data sources and API's
• Proficiency in BI Publisher for developing pixel-perfect reports.
• Preferable to have experience in Banking and Financial Services Industry.

Who is this for

If solving business challenges drives you. This is the place to be. Fornax is a team of cross-functional individuals who solve critial business challenges using core concept of analytics, critial thinking.

We are seeking a skilled Analytics Engineer who has worked in a Retail/D2C domain. The ideal candidate will possess a strong blend of functional and technical expertise, particularly in Google Analytics, Google Ads, Facebook Ads, Amazon Ads. Good understanding of the entire D2C / E-Commerce marketing value chain.

The Analytics Engineer will play a critical role in designing, developing, and maintaining our data infrastructure. This role involves working closely with data scientists, analysts, and business stakeholders to ensure data integrity, build robust data pipelines, and deliver insightful analytics solutions. The ideal candidate has a strong background in data engineering, analytics, and a keen eye for detail.

Key Responsibilities:

• Data Pipeline Development: Design, build, and maintain scalable ETL processes.
• Data Modeling: Develop and maintain data models to support analytics and reporting.
• Collaboration: Work with data scientists, analysts, and stakeholders to understand data needs.
• Data Quality: Implement data quality checks and ensure data accuracy.
• Analytics: Create and maintain dashboards and reports for actionable insights.

Key Skills

• Education: Bachelor's degree in Computer Science, Data Science, Engineering, or related field.
• Experience: 3+ years as AE / DE

Technical Skills:

• Proficiency in SQL and database technologies
• Core expertise with dbt (data build tool).
• Experience with data pipeline tools (e.g., Apache Airflow/ Mage).
• Familiarity with cloud platforms (e.g., AWS, Google Cloud).
• Knowledge of Python or R.
• Experience with data visualization tools (e.g., Tableau, Power BI).

We're looking for a Web Data & Analytics Architect with deep expertise in web data architecture, JavaScript-based tracking, and Google's data stack (GA4, GTM, BigQuery). You'll lead the strategy and execution of our global web analytics initiatives - designing scalable tracking systems, enabling high-quality data pipelines, and translating behavioral data into business impact.

What You'll Own

• Architect and Lead: Own the architecture and implementation of web tracking frameworks-data layers, event models, and structured tagging solutions.
• Analytics Stack Expertise: Drive end-to-end implementation of GA4, GTM, and custom JavaScript tracking strategies. Build robust, scalable tagging systems across web properties.
• Data Governance: Define and enforce best practices in data accuracy, governance, and compliance (GDPR, CCPA).
• Cross-Platform Integration: Align analytics efforts across product, marketing, and engineering teams. Connect web data to marketing platforms, CDPs, and backend systems.
• Insight Generation: Build dashboards (GA4, Looker Studio, Tableau) that go beyond reporting-translate behavior data into CRO and funnel insights.
• Tech Strategy: Guide data instrumentation decisions, evaluate new analytics tools (Amplitude, Glassbox, etc.), and provide strategic recommendations to leadership.
• Data Infrastructure: Optimize data layer design and maintain integrations with BigQuery or similar data warehouses.
• Problem Solving: Proactively troubleshoot tagging issues, validate event tracking, and ensure data integrity end-to-end.

Your Tech Stack

• Tracking & Tag Management: GA4, GTM, Amplitude, Glassbox (or equivalents)
• Languages: JavaScript (advanced), SQL, HTML, CSS, Python (preferred)
• BI Tools: Looker Studio, Tableau, or similar
• Cloud/Data: Google BigQuery, CDPs, custom event pipelines
• Bonus: Advanced GA4 certifications or experience in advanced attribution modeling

What You Bring

• 10+ years in Web/Data Analytics, including 2+ in a technical leadership role.
• Mastery in building structured event-driven data layers and scalable tagging strategies.
• Strong grasp of digital attribution models, funnel analysis, and segmentation.
• Deep technical understanding of web behavior tracking, CRO, and A/B testing strategies.
• Excellent ability to translate technical output into clear, business-ready insights.
• Confident collaborator with engineering, data science, and growth teams.

Write to us at to get connected!

About us/Company overview:

mCaffeine is India's 1st caffeinated personal care brand with an exciting range of Caffeinated products for young and aspiring digital natives. We believe in Confidence over all skin & body biases. Redefining the old notions of beauty associated with colour, we never sell insecurities. We have vowed not to make fairness products. At mCaffeine beauty has no colour or gender. It's about you. You are a revolution, a culture, a routine, a high, and essentially now - a lifestyle. You are Bold, Young and Confident.

Come, join the pack!

Job Responsibilities:

• Develops and maintains scalable data pipelines and builds out new API integration to support continuing increases in data volume and complexity.
• Collaborates with analytics and business teams to improve data models that feed business intelligence tools, increasing data accessibility.
• Implements processes and systems to monitor data quality, ensuring production data is always accurate and available for key stakeholders and business processes that depend on it.

Qualifications and Experience Requirements:

• B.Sc. / BE degree in Computer Science, IT or a related technical field
• 2+ years in data engineering
• 2+ years of experience working with AWS Console (RDS, EC2, Lambda functions)
• 1+ years of SQL experience (MySQL experience is a plus)
• 1+ years of Python experience
• Experience with data warehousing, data modelling and ETL
• Experience in PowerBI is PLUS

Social Media handles:

Website -

LinkedIn -

Instagram -

Contact us:

About Rupeek

Rupeek, established in 2015 and headquartered in Bangalore, stands as India's leading asset-backed digital lending fintech platform. Committed to making credit accessible to Indians in a fair and convenient manner, Rupeek pioneers innovative financial products focused on monetizing India's $2 trillion gold market. Leveraging state-of-the-art technology and an automated asset-light supply chain, Rupeek is transforming the gold loan disbursal landscape across 40+ cities in India. With a customer base exceeding 5,00,000+, the company's strategic partnerships with top banks and financial institutions underscore its commitment to building gold-backed assets through low-risk, low-touch, and friction-free processes.

Rupeek's impressive journey is supported by key investors such as Sequoia Capital, Accel Partners, Bertelsmann, and GGV Capital. In Apr 2024, Rupeek turned profitable and raised $25M in equity capital from Manipal Group and Elevation Capital to fund its next phase of growth. Join us in redefining the future of finance through innovation, technology, and a commitment to financial inclusivity.

Job Title: Credit Risk Analyst / Manager

Education: Engineering Background or Chartered Accountant; MBA is a plus

Experience: 4-6 yrs of work-ex in credit risk analytics function of Bank/NBFC/Fintech

Location: Bangalore

Job Summary:

We are seeking a highly skilled and detail-oriented Manager - Credit Risk Analytics to join our Risk Management team. The ideal candidate will be responsible for evaluating, developing, and implementing credit risk policies, performing data analysis, and building risk models to support sound credit decisions while managing a team of junior analysts. The candidate must have a strong command of SQL, Excel, and statistical tools such as Python, R, and Tableau.

Key Responsibilities:

• Develop a deep understanding of all risk metrics in the company product portfolio (loans) - credit risk, market risk and operational risk.
• Build predictive and prescriptive data science models to improve approval rates while augmenting risk adjusted revenue.
• Support the development and implementation of credit scoring models and risk-based pricing strategies.
• Liaison with tech and engineering team to manage decision engine, develop newer datasets to improve accuracy of the decision models
• Develop, implement, and monitor credit risk policies and frameworks in alignment with regulatory standards and internal business objectives.
• Conduct in-depth risk modeling and stress testing to forecast potential credit losses
• Design and maintain ETL pipelines for seamless data processing and risk model deployment.
• Perform regular data crunching and analysis to identify risk trends, patterns, and outliers.
• Utilize SQL, Excel, Tableau, Python, and R to generate insights, dashboards, and reports.
• Manage a team of analysts to deliver quality outcomes across all the above mentioned team actionables
• Ensure compliance with internal policies and external regulations related to credit risk.

Required Qualifications:

• Bachelor's/Master's degree in Engineering, Finance, Economics, Statistics, Mathematics, Data Science, or related field.
• 4-6 years of experience in Credit Risk Analysis or Risk Management roles
• Proven experience in credit risk policy formulation and implementation.
• Advanced skills in SQL, Excel, and working with relational databases.
• Hands-on experience in risk modeling, statistical analysis, and data crunching.
• Proficiency in Python, R, Tableau, and ETL tools.
• Strong analytical mindset with attention to detail and the ability to present data-driven insights clearly.

Preferred Attributes:

• Strong communication and interpersonal skills.
• Ability to work independently and handle multiple tasks with minimal supervision.
• Experience working in fintech, NBFCs, or banking sectors is desirable.

Oracle Analytics Server Administrator

Oracle Analytics Server Administrator

Location: Chennai/ Kolkata/Hyderabad/Noida/Gurgaon

Experience: 4 years to 11years

Mandatory skills: Oracle Analytics Server Administrator

Must Have:

Strong understanding of Oracle Analytics Server, with a focus on setting up and managing large-scale implementation

Proficiency in performance tuning and optimization techniques

Strong problem-solving and troubleshooting skills, with the ability to identify and resolve complex issues.

Excellent communication and interpersonal skills, with the ability to collaborate effectively with cross-functional teams.

Good to have:

. Understanding and Knowledge of Databases

Role & Responsibilities:

1 Installation and Configuration of the Oracle Analytics Servers

2 Starting and stopping the system when required

3 Configuring security - Securing access to system, metadata, and data. Configuring SSL and SSO and integration with identity management systems.

4 Create, modify, and assign application roles to determine what users can see and do in Oracle Analytics Server

5 Configuring the system for high availability

6 Managing performance and availability

7 Managing and resolving issues

8 Moving from a test to a production environment.

9 Configuring backup and recovering from unexpected events

10 Document configurations, procedures, and troubleshooting steps to maintain a comprehensive knowledge base.

15 years of Education

TCS Hiring for Data Analytics and Insights Specialist - ignio AIOps

Experience: 6 to 8 Years Only

Job Location: THANE / HYDERABAD / PUNE

Job Title: Data Analytics and Insights Specialist - ignio AIOps

Key Responsibilities:

• Leverage ignio AIOps platform to extract, model, and visualize operational data insights.

• Analyze IT operations data (logs, metrics, events, topology) to uncover trends, anomalies, and root causes.

• Build dashboards and reporting solutions to provide real-time and historical insights to IT leadership.

• Collaborate with IT, DevOps, and Infrastructure teams to improve observability, reliability, and performance using data.

• Translate raw data into actionable insights and recommendations for process improvements and incident reduction.

• Integrate ignio AIOps with other tools (e.g., ServiceNow, Splunk, AppDynamics, etc.) to consolidate analytics.

• Support AI/ML model performance by monitoring outputs and retraining needs within ignio.

• Design KPIs to measure operational efficiency and AIOps outcomes.

• Identify automation opportunities and feed data-driven use cases into the AIOps roadmap.

Required Skills & Experience:

• 6-8 years of experience in data analytics or operations insights, ideally within an IT or DevOps environment.

• Hands-on experience with ignio AIOps platform (strongly preferred).

• Strong understanding of IT infrastructure, application monitoring, and incident management.

• Proficient in SQL, Python, or R for data manipulation and analysis.

• Experience with BI tools (e.g., Power BI, Tableau, or Grafana).

• Familiarity with ITSM tools and CMDB integration.

• Ability to interpret complex datasets and communicate findings clearly to technical and non-technical stakeholders.

• Knowledge of AI/ML principles and their application in IT operations is a plus.

• ignio AIOps certification or training.

• Experience with cloud platforms (AWS, Azure, or GCP) and hybrid IT environments.

• Knowledge of industry standards such as ITIL, DevOps, and SRE.

Kind Regards,

Priyankha M

Job Summary:

We are seeking a highly motivated and detail-oriented Business Analyst to join our team. The ideal candidate will possess a strong understanding of costing principles, excellent analytical skills, and extensive experience with SAP ERP, particularly in the areas of Procurement, Planning, Inventory, Finance and Operations. You will be responsible for analyzing production costs, identifying variances, and providing actionable insights to improve efficiency and reduce costs.

Job Description:

Settlement and Analysis:

• Analyze procurement data to identify trends, patterns, and anomalies.
• Perform accurate and timely settlement of production orders.
• Analyze cost variances and identify root causes.

SAP ERP Expertise:

• Utilize comprehensive knowledge of SAP modules (Warehousing, Procurement, Inventory, Sales Orders) to support Procurement activities.
• Ensure data accuracy and integrity within SAP.
• Troubleshoot SAP-related costing issues.

Variance Reporting and Analysis:

• Generate and analyze variance reports, including Material Usage Variance (MUV), labor variances, and spending variances.
• Provide recommendations for cost reduction and process improvement based on variance analysis.

Reporting:

• Develop, maintain, and analyze standard and actual costing models.
• Maintain accurate and up-to-date Bills of Materials (BOMs) and Recipe maintenance.

Analytical and Problem-Solving:

• Utilize strong analytical skills to identify trends, patterns, and anomalies in Procurement data.
• Develop and implement solutions to address cost variances and improve efficiency.
• Provide ad hoc reporting as needed.

Profile Description:

• Bachelor's degree in finance, Industrial Engineering, data science, Statistics, Business Analytics, Supply Chain Management, or a related field.
• Extensive hands-on experience with SAP ERP, including a comprehensive understanding of Warehousing, Procurement, Inventory, and Sales Order modules.
• Proven ability to analyze production cost variances and identify root causes.
• Proficiency in generating and interpreting Procurement reports.
• Experience with Bill of Material and recipe maintenance.
• Excellent analytical, problem-solving, and communication skills.
• Strong attention to detail and accuracy.
• Ability to work independently and as part of a team.
• Proficiency in data analytics tools (e.g., Excel, SQL, Python, R) and visualization tools (e.g., Tableau, Power BI) e.g., food manufacturing, pharmaceuticals .
• Advanced degree or relevant certifications (e.g., Certified Data Analyst) is a plus.

About the company:

About Titan

At Titan, we're redefining email for entrepreneurs, innovators, and creators-transforming it into a powerful tool for business growth. Built by a team that deeply cares about helping businesses succeed, Titan is more than just an email platform.

Founded by Bhavin Turakhia, who also founded Directi, Radix, and Zeta, with a combined enterprise value exceeding $2 billion-Titan is backed by a strong legacy of innovation. Today, Titan powers millions of conversations, with 2.4 million emails sent and received every week. In 2021, Automattic (the parent company of WordPress, Your Way ) invested $30M in Titan, valuing the company at $300M. This partnership fuels our mission to revolutionize email and build the future of digital communication.

At Titan, you'll be part of a fast-growing business, solving meaningful problems and shaping a product that empowers millions. Join us to make a real impact.

About Neo

Neo is our fast-growing direct-to-customer platform designed to help small businesses, solopreneurs, and professionals establish a professional online presence with ease. Our offering includes domain name registration, an AI-powered website builder, and professional email-packaged at an affordable monthly rate to ensure accessibility for businesses of all sizes. We are now poised for our next phase of growth and are seeking a Growth Marketing Lead to accelerate new customer acquisition.

About the Role:

Join a high-performing team of data scientists and cross-functional partners to uncover insights, drive product strategy, and shape the future of our products. You'll work across the business to identify key opportunities, optimize campaigns, and inform go-to-market and product decisions with data at the core.

Roles and responsibilities:

• Work with both large and small datasets to solve a variety of business problems using rigorous analytical and statistical methods.
• Apply technical expertise with managing data infrastructure, quantitative analysis, experimentation, dashboard building and data storytelling to develop actionable strategies and influence product and business decisions.
• Identify and measure success of product efforts through goal setting, forecasting, and monitoring of key product metrics, and initiatives to understand trends and performance.
• Make sound, data-informed recommendations, even when data is sparse, through strong judgment and a structured approach to uncertainty.
• Partner with Product, Engineering, and cross-functional teams to inform, influence, support, and execute product strategy and investment decisions.

Skills and qualifications:

• Bachelor's or Master's degree in a quantitative field such as Mathematics, Statistics, Computer Science, Engineering, or Economics et al.
• 3+ years of experience in data science, analytics, or related roles.
• Proficient in SQL and scripting languages such as Python.
• Comfortable working with imperfect or incomplete data, and able to apply appropriate methodologies to extract insights.
• Experience with data visualization tools (e.g., Metabase, Tableau, Power BI, QuickSight)
• Familiarity with machine learning techniques (e.g., regression, decision trees) is a bonus.
• Nice to have: experience working with AWS Cloud, Apache AirFlow.

Perks and Benefits:

We at Titan love our jobs. And it's no surprise - we get to work on exciting and new projects, in a vibrant atmosphere that is designed to be comfortable and conducive for our personal and professional growth. And Titan goes the extra mile to make you feel at home. We offer benefits ranging from affordable catered meals and even snacks on the house. Our workspaces are welcoming and fun, complete with bean bag chairs and ping pong tables. You are free to wear what makes you comfortable and choose the hours you keep as a team. Oh, and we've got your family covered too, with excellent health insurance plans and other benefits. In short, everything you need to be your best self at work!

If you like the idea of working on solutions that have a truly global impact, get in touch!

Objective

As an Analytics & Reporting Specialist, you will play a pivotal role in transforming raw data into actionable insights and compelling reports. You'll collaborate with cross-functional teams to identify key metrics, develop reporting frameworks, and provide valuable insights to drive business performance.

Key Responsibilities

• Strong analytical and problem-solving skills to identify trends, patterns, and insights within data.
• Design and implement reporting dashboards using visualization tools such as Power BI, or similar.
• Develop and maintain automated reporting processes to ensure timely and accurate delivery of insights
• Collaborate with stakeholders to understand business requirements and translate them into measurable KPIs.
• Understanding of business operations and how data can be used to improve performance.
• Collaborating on projects to identify areas for improvement.
• Perform ad-hoc analysis to support strategic initiatives and decision-making.
• Identify trends and patterns in data to uncover opportunities for optimization and efficiency
• Present findings and recommendations to stakeholders in a clear and concise manner

Good to have:

• Bachelor's degree in computer science, Information Systems, or related field.
• Proven experience (5+ years) in data analytics, with expertise in SQL and MS Excel.
• Proficiency in Power BI or other data visualization tools.
• Strong analytical and problem-solving skills, with the ability to interpret complex data sets.
• Excellent communication and collaboration skills, with the ability to work effectively with cross-functional teams.
• Knowledge of data warehousing concepts and ETL processes is a plus.
• Certifications in SQL, PL/SQL, or Power BI would be advantageous.

Mandatory Skills Description:

• Strong academic background in a quantitative field (computer science, mathematics, physics, engineering, etc)
• Proficiency in functional & object-oriented programming, especially Python
• Experience in full stack development, including frontend webapps and backend services
• Strong analytical and problem-solving skills, you like to figure out how things work
• Strong written and verbal communication skills in English, and the desire to work together with stakeholders
• Familiarity with Investment Banking, FinTech, or Financial Markets
• Ability to work independently in a fast-paced environment
• Software engineering background

Performance Monitoring & Analytics - Consultant

Location : Pune

Mode : Hybrid

Shift Timing : 12.30PM to 9.30PM IST

Job Description:

Must have 5 plus years of experience in Application Performance Monitoring using enterprise standard tools.

Must have proven experience on Dynatrace SaaS implementation and migration of legacy monitoring solutions to the next-gen observability solution.

Prior experience must include 3+ years of experience working with agile scalable software Engineering.

Prior experience must include 3+ years of experience in CICD, automation, and DevOps practices Must have knowledge in application architecture, OSI layers, and software design and development methodologies.

Proven diagnosis and tuning experience with Application, Middleware, and Infrastructure Components.

Prior experience working with business metrics reporting, customer experience monitoring, and optimization for digital products.

Firm understanding of Event Management and ITIL Foundations (certification preferred).

Scripting capabilities (Ansible, Shell, Bash, Perl, PowerShell, etc.) to execute monitoring tasks for custom requirements within the capabilities of the suite of monitoring tools.

Must have skills: Overall 5+ years of experience

5+ years of exp Dynatrace Administration.

5+ years of exp in Any enterprise monitoring tool experience.

3+ years of working experience on Automation toolsets.

Nice to Haves:

Azure, CI/CI, SRE etc.

Tasks & responsibilities:

Develop working relationships with application and infrastructure teams to understand and flush out applicable use cases for monitoring and document them for traceability and auditing Scope and gather technical requirements for legacy tools migration to Dynatrace and other tools specifications ensure successful implementation Strategize and implement scalable pipeline ready solutions for continuous monitoring and availability using CICD and automation solutions.

Promote automated remediation principals by targeting optimal observability strategies

Have a high level understanding of the application stacks to trace, profile, and optimize application performance within and across multiple technology stacks.

Help build highly-available and scalable infrastructure with robust monitoring and alerting mechanisms.

Engineer solutions and establish standards for infrastructure, agent deployments, and decommissioning by automating manual tasks where possible.

On-board applications to the monitoring platforms and train users on how to use the tools, best practices, and proactive monitoring techniques.

Role - Data & Analytics QA Tester

Required Technical Skill Set-

Data & Analytics QA Tester

(QA Testing in Snowflake, Streamlit, AWS Airflow, StreamSets, AWS Glue, and SQL)

Experience Range - 4 TO 10

Responsibility :

1 Develop and execute test plans, test cases, and test scripts for data and analytics solutions.

2 Perform functional, integration, and regression testing to ensure the quality and integrity of data pipelines and analytics applications.

3 Collaborate with data engineers, data scientists, and other stakeholders to understand requirements and ensure comprehensive test coverage.

4 Utilize Snowflake for data warehousing testing and validation.

5 Implement and test data visualization solutions using Streamlit.

6 Conduct testing of data workflows and orchestration using AWS Airflow.

7 Validate data integration and transformation processes using StreamSets and AWS Glue.

8 Write and execute SQL queries to validate data accuracy and consistency.

9 Identify, document, and track defects and issues, and work with the development team to resolve them.

10 Continuously improve testing processes and methodologies to enhance the quality of data and analytics solutions

Job Description Summary

The Analytics & Insights Lead is responsible for leading the design, development, and implementation of dashboards and reports, ensuring they meet business needs and drive strategic insights. This role emphasizes on working closely with the Data and Analytics Platforms team to leverage the curated the data products and build the Analytics use cases. A critical focus of this position includes the design, development, and maintenance of the new Dashboards and reports for Sandoz business. The incumbent is responsible for overseeing teams, managing vendor relationships, and setting up dashboard and reports with the organization's overall objectives and industry standards. This position demands strong leadership, a forward-thinking strategy for the key Analytics and Insights dashboards and reports, and the ability to address complex challenges while promoting growth and innovation.

Major accountabilities:

• Collaborate with business stakeholders to gather, analyze and document reporting and data requirements, ensuring clarity and alignment with business objectives.
• Serve as a bridge between technical teams and business stakeholders, fostering effective communication and collaboration to ensure successful project outcomes.
• Define and develop functional data model specifications that align with business requirements, leveraging data platforms to optimize performance and usability.
• Manage project timelines, resources, and budgets, ensuring that milestones are met and deliverables are achieved within scope and on time.
• Oversee the implementation of reporting solutions, ensuring they meet quality standards and are delivered on time and within budget.
• Drive change management initiatives to facilitate the adoption of new technologies and processes across the organization
• Identify and mitigate risks associated with technology implementation, ensuring that potential issues are addressed proactively.
• Develop and execute test plans to ensure solutions meet business requirements and quality standards.
• Maintain detailed documentation of solution designs, implementation plans, and testing results.
• Provide support for training and support activities to end-users.
• Ensure all solutions comply with relevant regulatory requirements and industry standards.
• Maintain strong vendor relationships to ensure the delivery of high-quality solutions and services.
• Comply with regulations, standards, and best practices.
• Drive continuous improvement and innovation to support digital transformation and growth, staying ahead of industry trends and implementing cutting-edge technologies.
• Develop and track key performance indicators as outlined
• Engage with internal stakeholders to ensure data standards meet business needs.
• Identify and mitigate risks associated with implementing the data and analytics platforms
• Provide leadership on data and analytics platforms activities
• Manage budgets and resources for cost-effective solutions and maximum value.

Key performance indicators:

• Project Delivery Timeliness: Monitor and ensure the timely delivery of data projects and initiatives, adhering to project timelines and milestones.
• Stakeholder Satisfaction: Evaluate stakeholder satisfaction through surveys, feedback, and engagement metrics, ensuring continuous improvement.
• Data Utilization and Adoption: Measure the extent to which data products and analytics solutions are being utilized by the organization, through tracking user adoption rates, frequency of use and business value delivered.
• Data Quality and Accuracy: Measure the accuracy, consistency, and reliability of data across the dat and reporting applications. This includes tracking data error rates and the effectiveness of data cleansing processes within the analytics and insights area.
• Analytics and Insights applications' uptime and availability
• Rate of successful project completions
• Cost-saving measures implemented through initiatives
• Efficiency improvements in business operations
• Resolution time for analytics and insights applications related issues
• Training and development effectiveness of users

Minimum Requirements:

Work Experience and Skills:

• Over 12 years of experience in project delivery, application management, or IT services within a multinational organization, demonstrating strategic planning, financial acumen, and leadership skills.
• Comprehensive knowledge of Analytics and Insights tool capabilities and features, including proficiency in Power BI, Qlik, and other relevant analytics platforms.
• Ability to do sizing of the consumption needs on Analytics and Insights
• Excellent leadership, communication, and collaboration skills.
• Effective communication and stakeholder management skills, with the ability to explain complex technical concepts to non-technical audiences.
• Strong analytical and problem-solving skills, with the ability to translate business needs into data and system requirements.
• Strong leadership and team-building skills, with a focus on developing talent and fostering a collaborative team culture.
• Proven ability to work effectively in a fast-paced, dynamic environment and drive change and innovation.
• Experience in managing global projects and working in diverse cultural environments, with a commitment to fostering a diverse and inclusive team environment.
• Proficiency in using advanced software tools and platforms relevant to the job.
• Experience with ITIL frameworks and other service management methodologies.

Education :

• Bachelor's degree in Computer Science, Information Technology, Business Administration, or a related field; a Master's degree is preferred.
• Extensive knowledge and experience in Analytics and Insights, with a proven track record of delivering impactful solutions.
• Expert knowledge in End User Experience including design thinking
• Certification in project management methods (Agile, ITIL, Prince 2, PMI) is a plus.
• Experience with Agile/DevOps methodologies; Certification is a plus.

About the Role :-

We are seeking a highly skilled and motivated Product Analyst to join our dynamic team. In this role, you will collaborate with cross-functional teams across diverse geographies to drive impactful product decisions. As a Product Analyst, your primary responsibility will be to analyze use behavior, identify key trends, and provide actionable insights to optimize our product offerings. You expertise in data analysis and a user-centric approach will play a critical role in enhancing the overall user experience. You will also work closely with product managers, engineers, and designers to ensure that data-driven decisions are at the forefront of our product development process. By

leveraging data, you will help shape the future of our products, ensuring that they meet user needs

and contribute to business success. This is an exciting opportunity to make a tangible impact and drive growth for both our users and the company.

Core Responsibilities:-

• Analyze user journeys, trends, conversion funnels, and website performance to identify key
• opportunities for optimization.
• Conduct A/B testing and other experiments to help guide product and design decisions based on solid data insights.
• Define, track, and report on key product KPIs, providing actionable recommendations to stakeholders.
• Utilize Google Analytics to monitor user behavior, track funnels, and analyze data at the device and browser level.
• Collaborate with cross-functional teams, including product managers, engineers, and designers, to
• optimize product features and enhance user experience.
• Develop and maintain dashboards and reports using tools such as SQL, Python, R, Tableau, or Power BI.
• Effectively communicate findings and insights through data storytelling to technical and non-technical stakeholders.
• Work with data teams to ensure data integrity and availability for analysis and reporting.

Desired Qualifications :-

• Graduation in a similar field. Masters is a plus.
• 2-4 years of relevant experience
• Strong skills in SQL and Excel for analyzing and manipulating data.
• Experience with Google Analytics, Google Tag Manager, and other analytics tools. Proficiency in data visualization tools like Power BI, Tableau, or Looker.
• Solid understanding of statistical analysis and methods for interpreting complex datasets.
• Experience with A/B testing, experiment design, and hypothesis testing.
• Strong communication skills with the ability to present data insights clearly to both technical and non-technical stakeholders.
• Familiarity with databases and an understanding of data infrastructure is an added advantage.

Perks of Joining :-

• Innovative Work: Contribute to cutting-edge solutions for e-commerce and SaaS businesses.
• Impactful Role: Shape product decisions and enhance user experiences with data-driven insights.
• Growth Opportunities: Learn and grow professionally in a fast-paced, collaborative environment.
• Supportive Culture: Work with a team that values teamwork, mentorship, and professional
• development.
• Work-Life Balance: Hybrid working model Enjoy flexibility and a healthy balance between personal and professional life.
• Competitive Benefits: Access comprehensive health, retirement, and other benefits to support your well-being.
• Rewards and Recognitions: Demonstrate true dedication and be rewarded with annual bonuses and spot awards

Company Background:-

Silvermine Group is a 15 years old SaaS Company that's building E-commerce, SaaS companies in the cloud for the US market and helping companies bring offline processes online, saving time and money. We bring modern Internet software to main streets across America. Since our founding over a decade ago in Wilton, Connecticut, we have empowered our employees to make decisions that serve our customer's interests first.

Software Product offering from Silvermine Group eform2290 and emcs150

Company URL:

Total Work Experience: 8+ years

Education: BCA OR Bachelor's degree in Computer Science, Information Security, or a related field; relevant work experience may be considered in lieu of a degree.

e duties and responsibilities that is related to this job role.

• HR Technology Implementation: Lead the deployment of HRMS platforms ensuring seamless integration and user adoption.
• Data Analytics & Insights: Develop HR dashboards using tools like Power BI or Tableau to track workforce trends, attrition rates, and employee satisfaction.
• Data-Driven Decision Making: Utilize HR analytics tools to track performance metrics and optimize HR strategies.
• Process Automation: Streamline HR workflows using AI-driven automation for recruitment, onboarding, and performance management.
• Employee Experience Enhancement: Utilize digital tools to improve engagement, feedback mechanisms, and personalized employee journeys.
• Compliance & Risk Management: Ensure HR processes align with labor laws and data privacy regulations.
• Change Management & Training: Drive digital transformation initiatives, training HR teams and employees on new technologies.

Technical Expertise:

• Hands-on experience with HRMS platforms, HR analytics tools, and automation software (People Strong, Oracle, Darwin Box etc).
• Strategic Thinking: Ability to align HR digitization with business goals.
• Data-Driven Decision Making: Strong analytical skills to interpret HR data and drive actionable insights.
• Stakeholder Management: Experience collaborating with leadership teams and external vendors.
• Project Management: Ability to lead HR tech projects from conception to execution.

Role Overview:

As our Business Reporting Leader, you'll drive this philosophy forward by spearheading enterprise-wide reporting initiatives and delivering high-quality, actionable insights to business users across the organization.

In this strategic, hands-on leadership role, you will lead a global team of reporting analysts and BI developers, collaborate with cross-functional stakeholders, and architect data solutions that drive impact across Sales, Marketing, Product, and Operations. You'll be responsible for designing scalable reporting frameworks, optimizing performance, and promoting a culture of data-driven decision-making.

If you are passionate about data storytelling, thrive in a fast-paced environment, and have deep expertise in SQL, Tableau, and modern BI best practices-this is your opportunity to define the future of business intelligence at scale.

Key Responsibilities

• Translate business priorities into effective reporting strategies, partnering closely with stakeholders to deliver meaningful data visualizations and dashboards.
• Lead, mentor, and scale a high-performing team of BI analysts and developers, fostering a culture of innovation and excellence.
• Design and maintain interactive, self-service Tableau dashboards and reporting solutions that provide real-time insights.
• Champion SQL as a core reporting tool-develop complex queries, optimize performance, and ensure data integrity across large datasets.
• Define and track key business KPIs, aligning metrics across functions and surfacing insights to support strategic and operational decisions.
• Drive standardization and governance in reporting processes, ensuring consistency, accuracy, and trust in data.
• Serve as the Tableau and SQL subject matter expert, overseeing dashboard design, performance tuning, UX optimization, and advanced analytics features.
• Oversee Tableau Server/Cloud administration, including user roles, publishing workflows, access controls, and usage monitoring.
• Collaborate with Data Engineering to ensure scalable data pipelines, robust semantic layers, and a reliable BI infrastructure.
• Deliver clear, concise, and compelling presentations of data-driven insights to senior leadership and executive stakeholders.
• Stay current with industry trends in BI, making recommendations on tools, processes, and frameworks for continuous improvement.

Qualifications

• Bachelor's degree in Computer Science, Information Systems, Business Analytics, or a related field; Master's degree is a plus.
• 6+ years of experience in business intelligence or data analytics, with demonstrated expertise in SQL and Tableau.
• Proven success in leading and growing BI/reporting teams in dynamic, cross-functional environments.
• Expert-level proficiency in Tableau, including LOD expressions, calculated fields, interactivity, performance tuning, and storytelling.
• Deep experience with SQL-writing, optimizing, and troubleshooting complex queries across large and diverse datasets.
• Strong understanding of data modeling, ETL concepts, and modern cloud-based data platforms (e.g., Snowflake, Redshift).
• Experience ensuring data quality, governance, and integrity in enterprise reporting systems.
• Excellent communication skills with the ability to explain complex data concepts to both technical and non-technical audiences.
• Strong stakeholder management and ability to influence decisions through data.
• Experience in SaaS or high-growth tech environments is highly desirable.
• Tableau certifications (e.g., Desktop Specialist, Certified Associate) are a strong plus.

Working Hours: 2 PM - 11 PM (IST)

Experience: 7 - 10 years

Skills - Power BI, SQL must have

Overview

You will be leading / managing a team of growing and dynamic analytics professionals whose main goal would be to help clients' Marketing, Sales, and Operations leadership to achieve their business goals through data analytics.

Roles and Responsibilities summary:

• Partner with the Clients' Analytics teams to identify, scope, and execute analytics efforts that answer business questions, solve business needs, and add business value.
• Maintain a broad understanding of pharmaceutical sales, marketing and operations and develop analytical solutions in these areas.
• Manage reporting activities, build analytics-based reporting to provide enhanced business insights to clients
• Manage communication with stakeholders across functions and understand business requirements on regular basis
• Lead and guide the team independently or with little support to implement & deliver complex project assignments.
• Provide strategic leadership to the team by building new capabilities within the group and identifying business opportunities
• Set up KPI and business rules to answer business questions. Synthesize and communicate results to clients.
• Collaborate with client and WNS teams to implement solutions
• Drive analysis and problem solving and advance WNS' capabilities
• Work with onshore and sales teams to draft proposals and solutions for clients

Core competencies:

Technical Skills: Advanced excel, PowerPoint, SQL, Tableau / PowerBI, Hands on experience in R / Python / SAS would be an advantage

Domain knowledge in healthcare with working knowledge of various datasets used in the pharmaceutical industry

• Life sciences domain knowledge (2+ years)
• Good client communications (verbal and written)
• Data Analysis, Descriptive Analysis and Ability to handle Large volumes of Data for Ad-hoc analysis and Standard Business Reporting - 2+ years
• Knowledge of different pharma data sources - IQVIA, Flatiron, SHS, EMR / HER data, etc.
• Commercial Analytics Experience in Lifescience required
• Data analysis and Reporting capability
• Experience of working with offshore / onshore teams
• Empathy, adaptability and emotional intelligence
• Close attention to detail, with a quality-focused mindset
• Self-discipline for planning and organizing tasks
• Aptitude for, and enjoyment of working in teams

Must have Skills:

Tableau / Power BI, SQL, Excellent Communication, Excel, PowerPoint, Analytical Skills, Problem solving, Written and Verbal Communication, Stakeholder management, Work as a team

If interested please share your resume at

About Lowe's

Lowe's Companies, Inc. (NYSE: LOW) is a FORTUNE 50 home improvement company serving approximately 17 million customer transactions a week in the U.S. With total fiscal year 2022 sales of over $97 billion, approximately $92 billion of sales were generated in the U.S., where Lowe's operates over 1,700 home improvement stores and employs approximately 300,000 associates. Based in Mooresville, N.C., Lowe's supports the communities it serves through programs focused on creating safe, affordable housing and helping to develop the next generation of skilled trade experts.

About Lowe's India

At Lowe's India, we are the enablers who help create an engaging customer experience for our $97 billion home improvement business at Lowe's. Our 4000+ associates work across technology, analytics, business operations, finance & accounting, product management, and shared services. We leverage new technologies and find innovative methods to ensure that Lowe's has a competitive edge in the market.

About the Team

The pricing Analytics team supports pricing managers and merchants in defining and optimizing the pricing strategies for various product categories across the channels .The team leverages advance analytics to forecast/measure the impact of pricing actions , develop strategic price zones, recommend price changes and identify sales/margin opportunities to achieve company targets .

Job Summary:

The primary purpose of this role is to develop and maintain descriptive and predictive analytics models and tools that support Lowe's pricing strategy. Collaborating closely with the Pricing team, the analyst will help translate pricing goals and objectives into data and analytics requirements. Utilizing both open source and commercial data science tools, the analyst will gather and wrangle data to deliver data driven insights, trends, and identify anomalies. The analyst will apply the most suitable statistical and machine learning techniques to answer relevant questions and provide retail recommendations. The analyst will actively collaborate with product and business team, incorporating feedback through out the development to drive continuous improvement and ensure a best-in-class position in the pricing space.

Roles & Responsibilities:

Core Responsibilities:

• Translate pricing strategy and business objectives into analytics requirements.
• Develop and implement processes for collecting, exploring, structuring, enhancing, and cleaning large datasets from both internal and external sources.
• Conduct data validation, detect outliers, and perform root cause analysis to prepare data for statistical and machine learning models.
• Research, design, and implement relevant statistical and machine learning models to solve specific business problems.
• Ensure the accuracy of data science and machine learning model results and build trust in their reliability.
• Apply machine learning model outcomes to relevant business use cases.
• Assist in designing and executing A/B tests, multivariate experiments, and randomized controlled trials (RCTs) to evaluate the effects of price changes.
• Perform advanced statistical analyses (e.g., causal inference, Bayesian analysis, regression modeling) to extract actionable insights from experimentation data.
• Collaborate with teams such as Pricing Strategy & Execution, Analytics COE, Merchandising, IT, and others to define, prioritize, and develop innovative solutions.
• Keep up to date with the latest developments in data science, statistics, and experimentation techniques.
• Automate routine manual processes to improve efficiency.

Years of Experience:

• 3-6 years of relevant experience

Education Qualification & Certifications (optional)

Required Minimum Qualifications:

• Bachelor's or Masters in Engineering/business analytics/Data Science/Statistics/economics/math

Skill Set Required

Primary Skills (must have)

• 3+ Years of experience in advance quantitative analysis , statistical modeling and Machine Learning.
• Ability to perform various analytical concepts like Regression, Sampling techniques, hypothesis, Segmentation, Time Series Analysis, Multivariate Statistical Analysis, Predictive Modelling.
• 3+ years' experience in corporate Data Science, Analytics, Pricing & Promotions, Merchandising, or Revenue Management .
• 3+ years' experience working with common analytics and data science software and technologies such as SQL, Python, R, or SAS.
• 3+ years' experience working with Enterprise level databases (e.g., Hadoop, Teradata, Oracle, DB2)
• 3+ years' experience using enterprise-grade data visualization tools (e.g., Power BI , Tableau)
• 3+ years' experience working with cloud platforms (e.g., GCP, Azure ,AWS)

Secondary Skills (desired)

• Technical expertise in Alteryx, Knime.

At American Express, our culture is built on a 175-year history of innovation, shared values and Leadership Behaviors, and an unwavering commitment to back our customers, communities, and colleagues. As part of Team Amex, you'll experience this powerful backing with comprehensive support for your holistic well-being and many opportunities to learn new skills, develop as a leader, and grow your career.

Here, your voice and ideas matter, your work makes an impact, and together, you will help us define the future of American Express.

Functional Description:

American Express is on a journey to provide the world's best customer experience every day. The GCS Product Analytics team plays a pivotal role within Global Commercial Services by developing cutting-edge data capabilities and leveraging advanced analytics to gain deep insights into client behavior. Our mission is to inform and shape product strategies and deliver connected, personalized experiences that foster deeper client engagement and drive sustainable, profitable growth.

The Digital Measurement & Analytics team is a part of GCS Product Analytics team and delivers digital analytics and insights for the GCS suite of digital products & platforms. The team is responsible for innovating and transforming the process to measure and understand the customer behavior towards our digital tools.

The analytical work will uncover insights that will drive GCS' global digital strategy and optimize the customer experience. Through world class innovation and advanced analytics, the team will create segmentations, develop KPIs, models and strategic analytics to solve key business opportunities. This will be achieved through a close collaboration with the digital product teams, marketing, servicing and technologies.

Purpose of the Role

Deliver actionable insights for GCS Digital Experiences by democratizing digital data, measuring product performance, conducting customer behavior deep dives and go-to-market segmentations. The role requires exhibiting a high level of expertise in driving decisions backed by data insights, strategic and advanced analytics, and data techniques. They will drive improvements in generating data driven actionable strategies to enable business growth initiatives.

How will you make an impact in this role?

In this role, the incumbent will be part of Digital Measurement & Analytics team. They will apply advanced analytics to drive segmentations, develop KPIs, models and strategic analytics to solve key business opportunities. This will be achieved through a close collaboration with the digital product teams, marketing, servicing, technologies, and field teams. They will- design measurement framework, conduct behavioral deep dives using Amex closed loop data to uncover product improvement opportunities, enable experimentation (AB Testing), work with leadership to define product strategy and maintain product performance reports/dashboards. This role requires candidates with analytical bent of mind and exceptional quantitative, problem-solving, and business story-telling skills.

Responsibilities:

Specific job responsibilities may vary as per the team responsibilities, but will involve aspects of the below:

• Perform in-depth data analysis to deliver strategic priorities focused on the product roadmap for GCS Digital Experiences
• Define KPIs to measure the efficiency of digital channels/products and develop customer segmentation to drive "adoption and engagement" for AXP customers.
• Power in-depth strategic analysis and provide analytical and decision support by mining digital activity data along with AXP closed loop data.
• Gain deep functional understanding of the GCS digital channels over time and ensure analytical insights are relevant and actionable.
• Flawless execution of the development, validation and implementation of statistical projects and automated reports.
• Evaluate impact on business of different strategies/initiatives and generate insights and recommendations to fuel business growth.
• Build partnerships with internal partners such as Product, Technologies, Field, Servicing and Marketing to plan and prioritize various initiatives.
• Empower self-serve by crafting automated dashboards and reports using Adobe analytics suite or Tableau.
• Continuously broaden and strengthen knowledge of advance analytical methods and tools to further evolve our analytical practices.

Minimum Qualification

• 1 to 3 years of relevant analytics experience.
• Advanced degree in business administration, computer science, IT or Information management from premium institutes (preferred)
• Strong analytical, strategic thought leadership and problem-solving skills with ability to solve unstructured and complex business problems.
• Team player: Able to collaborate with partners and team members to define key business objectives, and to align on solutions that drive actionable items.
• Strong interpersonal, written, verbal communication, presentation, and storytelling skills enabling ability to interact effectively with business leaders and to present structured and compelling messages addressed to various levels within the organization.
• Results driven with strong project management skills, ability to work on multiple priorities and ensure track to exceed team goals.
• Passion for data science and machine learning: Proven track record of independently developing novel analytical solutions optimizing business processes or product constructs.
• Strong ability to drive results, self-starter.
• Experience in digital domain preferred.

Technical Skills/Capabilities

• Data
• Data manipulation - large & complex data sets
• Segmentation
• Analytics
• Business Intelligence & Visualization
• Machine Learning & AI
• Statistics & Hypothesis Testing
• Basic understanding of Agile product development

Knowledge of Platforms

• Big Data - Cornerstone, Hive, MapReduce
• Digital Tracking - Omniture/Adobe Analytics, Clickstream
• Visualization - Tableau

Compliance Language

We back you with benefits that support your holistic well-being so you can be and deliver your best. This means caring for you and your loved ones' physical, financial, and mental health, as well as providing the flexibility you need to thrive personally and professionally:

• Competitive base salaries
• Bonus incentives
• Support for financial-well-being and retirement
• Comprehensive medical, dental, vision, life insurance, and disability benefits (depending on location)
• Flexible working model with hybrid, onsite or virtual arrangements depending on role and business need
• Generous paid parental leave policies (depending on your location)
• Free access to global on-site wellness centers staffed with nurses and doctors (depending on location)
• Free and confidential counseling support through our Healthy Minds program
• Career development and training opportunities

American Express is an equal opportunity employer and makes employment decisions without regard to race, color, religion, sex, sexual orientation, gender identity, national origin, veteran status, disability status, age, or any other status protected by law.

Offer of employment with American Express is conditioned upon the successful completion of a background verification check, subject to applicable laws and regulations.

Job Brief:

Acufore is seeking a dynamic and results-driven Business Development Executive with expertise in Analytics, Data Science, AI/ML, and Cloud platforms (AWS, Azure, GCP) . The ideal candidate will have more than 8 years of experience in acquiring new clients, developing sales strategies, and expanding business opportunities in the technology consulting and solutions space. This role requires a strong understanding of data-driven solutions, cloud platforms, and emerging AI/ML technologies.

Responsibilities:

• Identify and engage potential clients in need of Analytics, Data Science, AI/ML, and Cloud Solutions.
• Develop and execute a strategic sales plan to acquire new clients and drive revenue growth.
• Build and maintain strong relationships with C-level executives, IT leaders, and decision-makers.
• Collaborate with technical teams to tailor solutions that align with client needs.
• Present and demonstrate data-driven solutions and cloud capabilities effectively to prospects.
• Lead negotiations and close contracts to meet or exceed sales targets.
• Stay updated on industry trends, market conditions, and emerging AI/ML and cloud technologies.
• Represent the company at industry events, conferences, and networking sessions.

Job Description:

The primary objective of the Business Development Executive is to hold the $ target and to work with a team to achieve the targets.

BDE will prospect for new clients by networking, cold calling, advertising, or other means of generating interest from potential clients.They must then plan persuasive approaches and pitches that will convince potential clients to do business with the company.

They must develop a rapport with new clients and set targets for sales and provide support that will continually improve the relationship. They are also required to grow and retain existing accounts by presenting new solutions and services to clients.

He/she may manage the activities of others responsible for developing business for the company. Strategic planning is a key part of this job description, since it is the business executive's responsibility to develop the pipeline of new business coming into the company. This requires a thorough knowledge of the market, the solutions/services the company can provide, and of the company's competitors.

Candidate Must Have:

• 8+ years of experience in sales and business development, specifically in Analytics, Data Science, AI/ML, and Cloud (AWS, Azure, GCP).
• Proven track record of new client acquisition and achieving/exceeding sales targets.
• Strong knowledge of cloud services, big data, AI/ML solutions, and data analytics frameworks.
• Excellent communication, presentation, and negotiation skills.
• Ability to work independently and drive results in a competitive environment.
• Strong business acumen with a consultative approach to sales.
• Willingness to travel as required for client meetings and industry events.

Academic and Trades Qualifications:

Bachelor's degree in engineering/Any graduate.

• Experience in enterprise sales within the technology consulting, cloud, or AI/ML domain.
• Familiarity with modern data platforms, AI-driven analytics tools, and cloud migration strategies.
• Previous experience working in a B2B sales role targeting mid to large enterprises.
• Knowledge of subscription-based SaaS solutions and cloud pricing models

Why Join Us?

• Opportunity to work with cutting-edge AI/ML, Analytics, and Cloud technologies.
• Competitive salary, commissions, and performance incentives.
• Dynamic work environment with career growth opportunities.
• Collaboration with leading industry experts and technical teams.

Apply Now! If you are a proactive sales professional passionate about AI, Data Science, and Cloud, we invite you to join our team and drive impactful sales growth.

How to Apply:

Send your resume and a brief cover letter outlining your experience and achievements to

Job Description

Job Summary:

The Operations Engineer will work in collaboration with and under the direction of the Manager of Data Engineering, Advanced Analytics to provide operational services, governance, and incident management solutions for the Analytics team. This includes modifying existing data ingestion workflows, releases to QA and Prod, working closely with cross functional teams and providing production support for daily issues.

Essential Job Functions:

Takes ownership of customer issues reported and see problems through to resolution.

Researches, diagnoses, troubleshoots and identifies solutions to resolve customer issues.

Follows standard procedures for proper escalation of unresolved issues to the appropriate internal teams.

Provides prompt and accurate feedback to customers.

Ensures proper recording and closure of all issues.

Prepares accurate and timely reports.

Documents knowledge in the form of knowledge base tech notes and articles.

Other Responsibilities:

Be part of on-call rotation.

Support QA and production releases, off-hours if needed.

Work with developers to troubleshoot issues.

Attend daily standups.

Create and maintain support documentation (Jira/Confluence).

Minimum Qualifications and Job Requirements:

Proven working experience in enterprise technical support.

Basic knowledge of systems, utilities, and scripting.

Strong problem-solving skills.

Excellent client-facing skills.

Excellent written and verbal communication skills.

Experience with Microsoft Azure including Azure Data Factory (ADF), Databricks, ADLS (Gen2).

Experience with system administration and SFTP.

Experience leveraging analytics team tools such as Alteryx or other ETL tools.

Experience with data visualization software (e.g. Domo, Datorama).

Experience with SQL programming.

Experience automating routine data tasks using various software tools (e.g., Jenkins, Nexus, SonarQube, Rundeck, Task Scheduler).

We are seeking a highly skilled and detail-oriented Digital Analytics expert to join our team. The ideal candidate will serve as a subject matter expert for web analytics and SEO, have experience in a client facing role translating business needs for reporting into actionable technical requirements for development and implementation. They will have experience working with ecommerce and consumer data for analysis, and expertise in configuring tags, triggers, custom dimensions, and variables for platforms such as LinkedIn, Facebook Ads, Google Ads, GA4, and other marketing technologies.

Required Qualifications & Responsibilities:

• 4+ years of hands on experience and proficiency in Google Analytics (GA4), Google Tag Manager, Looker (Data Studio), & Google Ads
• 4+ years of hand on search engine optimization including familiarity with topics such as Core Web Vitals, Structured data, Sitemap performance, and backlinking strategies.
• 2-4 years of experience with Google Search Console
• 2-4 years of experience analyzing marketing and eCommerce data (campaign results, conversion rates, traffic etc.) to optimize marketing strategies.
• 2-4 years of experience creating KPI metrics and analytics reports on web and campaign performance that include suggestions for optimizations.
• Hands-on experience auditing, testing, and debugging GTM and GA4 implementations identify and resolve any issues with event tracking.
• Strong understanding of the tech and digital landscape, with a focus on modern data and analytics tools.
• Knowledge of dataLayer configuration, HTTP requests/responses, DOM elements, and Regular Expressions.
• Experience with Google Consent Mode, Cookie Consent Management Tools such as OneTrust, and privacy regulations (GDPR, CCPA).
• Implement and maintain Custom Events, Audiences and/or Segments for Growth Marketing purposes
• Build and document robust event schemas for consistent data tracking across platforms.

Preferred Qualifications:

• Certifications in Google Analytics and Google Tag Manager.
• Proficiency in JavaScript, HTML, and CSS for creating custom GTM tags.
• Prior experience in server-side tag management
• Strong familiarity with front-end programming, and web development processes and flows
• SEO, SEM, and Paid Ads Campaign management

SQL Server Analytics & Power BI Developer_Full-Time_Noida, Pune, Mumbai, Delhi, Chennai, Bangalore

Job Title: SQL Server Analytics & Power BI Developer

Location: Noida, Pune, Mumbai, Delhi, Chennai, Bangalore

Job Type: Full-Time

Experience: 5-10 Years

Skills: SQL Server Analytics Service (SSAS), Basic Power BI, Strong SQL Knowledge

Job Description:

• We are seeking an experienced Senior SQL Server Analytics & Power BI Developer to design and optimize high-performance data models and reporting solutions leveraging SQL Server Analytics Services (SSAS), Power BI, and advanced SQL techniques.
• The successful candidate will have expertise in multidimensional modeling, complex query optimization, and data visualization, along with a deep understanding of how to architect solutions that integrate with larger data ecosystems.

Key Responsibilities:

• Design and Implement SSAS Cubes: Architect, develop, and optimize OLAP cubes for reporting and analytics using SQL Server Analysis Services (SSAS), focusing on performance tuning, security, and usability.
• Advanced Data Modeling: Develop complex data models within SSAS, ensuring they are scalable and optimized for reporting efficiency. Employ best practices in dimensional modeling (star and snowflake schemas) to deliver high-performing datasets.
• Power BI Integration: Design Power BI reports with complex visualizations, integrating SSAS cubes and custom SQL queries for enhanced data insights. Implement advanced DAX calculations and Power Query transformations.
• ETL and Data Processing: Design, implement, and optimize ETL processes to populate SSAS models from heterogeneous data sources, ensuring data integrity, validation, and consistency.
• Performance Optimization: Apply advanced query tuning, indexing, partitioning, and caching techniques to optimize both SSAS cubes and SQL queries for fast, responsive reporting.
• Collaborate with Stakeholders: Work closely with business analysts, architects, and stakeholders to translate complex business requirements into scalable data solutions.

Qualifications:

• Extensive experience with SQL Server (T-SQL, SSIS, SSRS, SSAS).
• Proficient in building and optimizing SSAS multidimensional models, including cube design, MDX, and query optimization.
• Expertise in Power BI with advanced DAX, Power Query, and report optimization techniques.
• Strong understanding of data warehousing concepts and performance tuning techniques.
• Hands-on experience with large-scale, enterprise-level data architectures.
• Solid knowledge of advanced SQL query writing and optimization strategies.

Data & Analytics Lead Data Engineer

Job Summary:

Senior Data Engineer: Responsible for implementing and supporting analytic data models and data pipelines for multiple business processes on the new 3M health care company's data warehouse and big data analytics infrastructure.

Principle Responsibilities: (essential job duties and responsibilities)

• Implement data models and curated datasets on a modern data warehouse and data hub
• Interface directly with business and systems subject matter experts to understand analytic needs and determine logical data model requirements
• Implement ETL processes between data warehouses and source systems
• Work closely with data architects and senior analysts to identify common data requirements and develop shared solutions
• Support data models and data integration solutions in production
• Support and maintain data warehouse, ETL, and analytic platforms

Required Skills and Experiences:

• Data warehouse and ETL background
• Advanced SQL programming capabilities
• Background in preparing data for analysis and reporting
• Experience with analytical tools for data discovery, modeling, visualization, analysis, and reporting
• Success in a highly dynamic environment with ability to shift priorities with agility
• Ability to go from whiteboard discussion to code
• Willingness to explore and implement new ideas and technologies
• Ability to effectively communicate with technical and non-technical audiences
• Ability to work independently with minimal supervision

Minimum Qualifications:

• 6+ years experience with SQL. Snowflake strongly preferred.
• 6+ years experience in data modeling design and implementation
• 4+ years experience with Informatica IICS
• 4+ years experience working directly with subject matter experts in both business and technology domains
• 2+ years experience with BI and analytic tools. PowerBI or Tableau.

Nice-to-have:

• Experience with Machine Learning tools and processes
• Hands-on experience with Python

Education:

• Bachelor's in Computer Science, Information Systems, Engineering, science discipline, or similar

Job Summary:

We are seeking a skilled and experienced SAP S/4HANA Data Analytics Manager to lead the design, implementation, and management of data analytics solutions within the SAP S/4HANA ecosystem. The role focuses on leveraging SAP technologies to drive insights, optimize decision-making, and enhance business performance.

Key Responsibilities:

Strategy and Leadership:

• Define and execute the data analytics strategy for SAP S/4HANA and associated platforms.
• Lead cross-functional teams to deliver data-driven insights aligned with business objectives.
• Act as a liaison between business stakeholders and technical teams to ensure effective communication and outcomes.

Project Management and Execution:

• Oversee the end-to-end lifecycle of SAP S/4HANA data analytics projects, from requirements gathering to deployment.
• Ensure compliance with timelines, budgets, and quality standards.
• Manage data migration and integration activities with legacy and third-party systems.

Data Analytics and Reporting:

• Develop and maintain analytical models, dashboards, and reports using tools such as SAP Analytics Cloud (SAC), BW/4HANA, and other related technologies.
• Utilize predictive analytics, machine learning, and other advanced techniques to deliver actionable insights.
• Ensure data accuracy, integrity, and consistency across systems.

Collaboration and Training:

• Work closely with business leaders, IT teams, and external consultants to implement and optimize data analytics solutions.
• Train end-users and teams on SAP analytics tools and best practices.

Governance and Compliance:

• Establish data governance processes to ensure compliance with regulatory standards.
• Monitor and maintain data security and privacy policies.

Required Skills and Qualifications:

• Bachelor's degree in Computer Science, Information Technology, Business Administration, or a related field; advanced degree preferred.
• 8+ years of experience in data analytics and business intelligence, with at least 5 years focused on SAP S/4HANA.
• Expertise in SAP Analytics tools such as SAP Analytics Cloud (SAC), BW/4HANA, and HANA Modeling.
• Strong understanding of SAP S/4HANA modules (e.g., Finance, Supply Chain, Procurement) and their data structures.
• Experience with data visualization and reporting tools (e.g., Tableau, Power BI) is a plus.
• Proficiency in SQL, ABAP, and data integration technologies.
• Strong analytical, problem-solving, and decision-making skills.
• Excellent leadership, communication, and interpersonal skills.

Preferred Skills:

• Knowledge of cloud technologies such as AWS, Azure, or Google Cloud in the context of SAP.
• Experience with AI/ML frameworks and their integration into SAP systems.
• Certifications in SAP Analytics Cloud or SAP S/4HANA modules.

Job Summary

Role : Senior Client Solutions Partner

Experience : 7 - 12 years

Work location : Mumbai / Bengaluru (Hybrid)

As a Senior Client Solutions Partner you will be a part of the core sales and GTM team of

Quantiphi and you will be responsible for execution of end-to-end sales processes in a B2B

environment.

Prepare and deliver technical presentations explaining products or services to

customers and prospective customers.

Managing customer communication & relationships.

Engage & drive end-to-end pre-sales activities for business development for the

company in the Data analytics.

Ability to identify & prospect full range - Proficient in developing business collaterals

based on latest developments in Data modernization to showcase the potential of

data for the enterprise.

Experience in handling or being hands-on for data modernization projects.

Work in conjunction with the Solution Architects & Data Engineering teams to

gather, analyze and prospect business problems to be solved using large volumes of

quantitative and qualitative data and develop of point of view to build a solution for

the problems.

Applying the right analysis frameworks to develop creative solutions to complex

business problems.

Planning and executing both short-term and long-range projects and manage

teamwork, and client expectations.

Challenge and inspire customers and peers to solve difficult problems with

ambitious and novel solutions.

Work with the team to identify and qualify business opportunities. Identify key

customer technical objections and develop a strategy to resolve technical blockers.

Work hands-on with customers to demonstrate and prototype Google Cloud product

integrations in customer/partner environments and manage the technical

relationship with Google's customers.

Recommend integration strategies, enterprise architectures, platforms and

application infrastructure required to successfully implement a complete solution

using best practices on Google Cloud.

This includes understanding, analyzing and prospecting complex business problems

to be solved using Data solutions & AI Applications in a variety of industries including

Healthcare, Media, BFSI, CPG, Retail, and many others.

Travel to customer sites, conferences, and other related events as required.

Responsibilities:

You would be involved in the development of new business opportunities and

value-added services which requires a high level of creativity, learning potential and

deep quantitative subject matter expertise and therefore self-driven individuals

willing to learn on the go would be preferred.

Strong team player.

Degree in Business (MBA), Computer Science Engineering.

Good communication , abstraction , analytical and presentation skills.

Experience of B2B sales , customer communication and relationship management

Experience and knowledge of critical phases of the sales process which includes

requirement gathering, sales planning, solution scoping, proposal writing and

presentation.

Data driven mindset. Your plans and actions are backed by not just gut feeling but

also customer/industry/market research.

Knowledge and willingness to learn and apply emerging trends in business research,

data engineering, Cloud.

Excellent aptitude in business analysis and awareness of quantitative analysis

techniques.

Excellent communication (both written & verbal) & articulation skills (Mandatory).

Strong team player and ability to collaborate with a cross functional team.

Experience with sales reporting.

Self-driven and strong aptitude to work in an entrepreneurial , fast-paced

environment with minimal supervision and a passion for developing new

value-added data based solutions for clients across a variety of industries.

What's in it for you?

1. The experience of working in a category defining high growth startups in the

transformational AI, Decision Science and Big Data Domain.

2. The opportunity of getting on boarded to the phenomenal growth journey and

helping the customers take the next big leap in digital transformation

3. The opportunity to work with a diverse, lively and proactive group of techies who are

constantly raising the bar on the art of translating mounds of data into tangible

business value for clients.

4. Flexible working options available to foster productivity and work/life balance.

About Company

Condé Nast is a global media company producing the highest quality content with a footprint of more than 1 billion consumers in 32 territories through print, digital, video and social platforms. The company's portfolio includes many of the world's most respected and influential media properties including Vogue, Vanity Fair, Glamour, Self, GQ, The New Yorker, Condé Nast Traveler/Traveller, Allure, AD, Bon Appétit and Wired, among others. Condé Nast Entertainment was launched in 2011 to develop film, television and premium digital video programming.The company is undertaking the biggest transformation in its history, driving towards expanding both its operations and its reach through diversifying the digital business models for our brands. Major areas of focus include video and streaming platforms, increasing subscriptions and memberships, growing our events business and ensuring we maintain a high level of standard on the products we are already proud of delivering to our customers. Migrating to and consolidating across centralised technologies and capabilities that can be easily leveraged by any brand or product experience is a business priority. Leadership of the cross-functional Data Governance & Technical Analytics team is an integral part of our overall business strategy, helping us to generate value through the use of our first party data in line with regulatory compliance.

About Role:

The Technical Analytics & Measurement Manager will lead the implementation of privacy-compliant analytics tracking capabilities, standardising data collection and improving the quality of data. The key function of the role is to support the Global Architecture & Governance team in organisation-wide implementation of analytics and measurement strategies, encompassing privacy compliant analytics, technology and product support, consumer revenue initiatives, data capture configuration and audience engagement measurement. The role will require working with internal and cross-functional teams in EU, US and APAC, liaising with stakeholders to gather requirements, recommend analytics solutions and translate complex analytics into standard business language.

Responsibilities:

• Develop Technical Analytics & Measurement strategies, incorporating futureproof tracking and data capture, as well as privacy approaches
• Manage and implement performance and marketing analytics, including third-party tracking pixels, with or without a tag management system.
• Lead investigation and identification of gaps in analytics implementation, ensuring compliance with privacy laws and best practices.
• Own compliance-related concerns in data collection, collaborating with legal and privacy teams.
• Manage workflows for translating stakeholder KPIs and tracking requirements into relevant event schemas and properties.
• Lead review and validation of accuracy and performance of technical analytics implementations.
• Support measurement and privacy teams in adapting to evolving regulations and industry standards.
• Develop and maintain technical tagging instructions, implementation documentation, and standards based on changing business needs.
• Partner with analytics, data engineering, product, and marketing teams to identify business needs and translate them into optimized tracking solutions.
• Collaborate with analytics teams to implement best-in-class measurement solutions that align with privacy changes.
• Ensure data governance across the analytics stack, maintaining integrity, lineage, and data quality.
• Provide support and guidance to analytics users on extracting and utilizing data from analytics tools and data warehouses.
• Lead automation projects to improve efficiency and reduce manual efforts using APIs.
• Act as a subject matter expert for the team, providing solutions to complex tracking requirements.

Skills and Experience:

• 8+ years of experience working in technical analytics and measurement roles, especially advantageous if in media or advertising environment(s).
• Strong experience in managing and developing teams of analysts and/or specialists in measurement and implementation for efficient deliveries.
• Strong experience in implementing analytics tags using Google Tag Manager or similar tools (e.g., Adobe Launch, Tealium IQ).
• Proficient in managing configuration and profile settings within Google Analytics 4.
• Hands-on experience with server-side tracking technologies e.g. server-side Google Tag Manager, Hightouch.
• Experience with first-party data capture solutions such as Snowplow, Segment or Rudderstack highly preferred.
• Knowledge of tracking pixels and consent management platforms such as OneTrust, SourcePoint or Ethyca, with strong awareness of data privacy.
• Basic understanding of JavaScript/HTML with ability to update scripts for tracking changes and privacy compliance.
• Experience in analytics data exports and integration with cloud platforms such as Google Cloud Platform (GCP), BigQuery and AWS.
• Passionate about learning new measurement technologies and implementing them in production environments.
• Hands-on experience with Databricks and querying.
• Strong analytical, problem-solving and communication skills.
• Experience using SQL is desirable.
• Experience with automation using APIs and Python desirable.

What is the opportunity?

This role is at the intersection of banking and analytics. It requires diving deep into the banking domain to understand and define the metrics, and into the technical domain to implement and present the metrics through business intelligence tools.

We're building a next-generation analytics product to help banks maximize the financial wellness of their clients. The product is ambitious - that's why we're looking for a team member who is laterally skilled and comfortable with ambiguity. Reporting to the Senior Vice President, Analytics as part of the Zafin Product Team, you are a data-visualization subject matter expert who can define and implement the insights to be embedded in the product using data visualization tools (DataViz) and applying analytics expertise to make an impact. If storytelling with data is a passion of yours, and data visualization and analytics expertise is what has enabled you to reach your current level in your career - you should take a look at how we do it on one of the most advanced banking technology products in the market today - connect with us to learn more.

Location - Chennai or Trivandrum India

What will you do?

• Collaborate with Business SMEs to identify and define the relevant metrics for financial services (e.g., product, pricing, relationship).
• Develop complex data models to integrate and aggregate data.
• Design and implement data visualization and reports based on an understanding of user needs and the data available.
• Work closely with the Data Engineering team to automate the calculation of metrics.
• Coach and mentor Data Analysts on data visualization best practices.

What do I need to succeed?

Must have:

• Bachelor's degree in Computer Science/Engineering, Information Technology, or related field.
• The ability to understand complex business objectives and decompose them into metrics that can be calculated and reported upon.
• The ability to collaborate with Business SMEs to understand the business context, define the reporting requirements and effectively communicate new ideas.
• Knowledge of writing efficient and readable SQL scripts to compute the metrics for reports and dashboards.
• Strong understanding of data modelling techniques to design well structured tables and relationships.
• Software Engineering mind-set: Understanding of applying software engineering discipline to analytics code (i.e., applying version control and unit testing practices to SQL)
• Proficient in the use of modern BI-tools.
• Experience with Dataviz: Designing clean, uncluttered visualizations to present actionable insights
• Proficiency in Python for data analysis.
• Strong, clear, and concise written and verbal communication skills .
• Excellent interpersonal skills and can foster team collaboration to achieve positive outcomes.
• Aptitude to solve problems by thinking outside of the box with the ability to conceptualize and articulate new approaches and solutions to all levels of the organization.
• Detail oriented with a strong ability to prioritize conflicting deadlines.
• Proactive and has a strong desire to learn.

Nice to have:

• Understanding of banking data models.

Business Analyst works with internal functions to help them improve their processes and decisions. Conduct research and analysis to come up with solutions to business problems and help to introduce these to Silvermine.

KEY RESPONSIBILITIES:

• Data Analysis and Reporting: Analyse complex data sets to identify trends, patterns, and insights. Develop and automate reports using Power BI and Google Sheets to support data-driven decision-making.
• Database Management: Understand and manage database structures in MySQL and SQL Server. Ensure data integrity and accuracy in reporting and analytics.
• Predictive Analytics: Utilise statistical methods and predictive models to forecast future trends and outcomes based on historical data.
• Dashboard Creation and Visualisation: Demonstrate expertise in Power BI or Tableau for creating insightful dashboards and visualisations. Integrate various data sources into Power BI to build and automate interactive dashboards.
• Platform Expertise: Leverage Google Analytics 4, Google Ads, and Microsoft Ads to track performance metrics and derive actionable insights.
• Report Automation: Automate the generation and distribution of reports to enhance efficiency and accuracy in business operations.
• Collaboration: Work closely with cross-functional teams including product management, data engineering, marketing, and finance to understand their needs and provide actionable insights.
• Tool Utilisation: Utilise Python for data manipulation and analysis. Manage data storage and retrieval in AWS S3.

PREFERRED QUALIFICATIONS & REQUIRED SKILLS:

• Bachelor's degree in business administration, Finance, Data Science, Computer Science, or a related field. A master's degree is a plus.
• 5-7 years of experience as a Business Analyst or similar role, preferably in a SaaS product-based company
• Proficiency in MySQL, SQL Server, Python, Power BI, Google Sheets, and AWS S3.
• Strong understanding of database structure, data analytics, and predictive analytics.
• Experience with Google Analytics 4, Google Ads, and Microsoft Ads.
• Excellent analytical, problem-solving, and communication skills.
• Ability to work independently and collaboratively in a fast-paced environment.

PERKS OF JOINING:

The Culture: most companies talk about their values, we live them.

• Supportive Culture: We value teamwork, mentorship, and professional development, and we show it by providing top-notch employee experience and training programs, and incentivizing team growth.
• Work-Life Balance: We support a hybrid work model and encourage our employees to create a healthy balance between personal and professional life.
• Rewards and Recognitions: Competitive compensation, annual and spot bonuses, and a focus on recognizing hard work with well-earned rewards are part of our DNA.
• Innovative Work: Contribute to cutting-edge solutions for e-commerce and SaaS businesses.

The Work: stability of a market leader with the hunger for innovation and growth of a start-up

• Impactful & Broad Role: You will have a seat at the table when it comes to key management decisions, drive critical marketing strategy and decisions, and have a voice in key product and user experience decisions.
• Growth Opportunities: Learn and grow from market veterans, take advantage of a fast-paced, collaborative environment, and enjoy the ability to move up the ladder when you earn it.
• Competitive Benefits: Access comprehensive insurance for health (incl. parents), life and personal accident.

ABOUT SILVERMINE GROUP:

Silvermine Group is the largest & most trusted provider of regulatory compliance services for the heavy trucking and transportation industries. Our compliance automation platform is secure, cloud-based, and certified by the IRS - helping over 100,000 customers every year file federally required documents - such as IRS Form 2290, Form 8849, and MCS-150 - accurately, securely, and on time. Our technology, highly skilled customer support, and relentless focus on product improvement and growth ensures that our customers' equipment stays on the road and their businesses keep humming.

Website: Silvermine Group Products: eform2290 and emcs150

Apply on: Location: Bangalore

About the Role:

As the Analytics Manager, you will oversee the end-to-end delivery of insights across Silvermine's product suite - including eForm2290, eMCS150, and Truckopedia. You'll lead a multidisciplinary team, define the analytics roadmap, and establish robust data practices that inform strategic and tactical decisions.

KEY RESPONSIBILITIES:

• Lead and mentor a cross-functional analytics team supporting product, business, marketing, and CX.
• Collaborate with functional leads to align analytics projects with business OKRs.
• Own and evolve the KPI frameworks for products and business performance.
• Ensure high quality and consistency of dashboards and reports.
• Coach and manage a team of analysts, fostering growth and delivery excellence.
• Drive adoption of analytics tools and self-serve capabilities within departments.
• Translate business problems into data-driven solutions.
• Drive analytics roadmap, improve data governance, and coordinate with Data Engineering.
• Represent analytics in leadership meetings and decision-making forums.

PREFERRED QUALIFICATIONS & REQUIRED SKILLS:

• 8+ years of analytics experience with at least 2 years in a managerial/lead role.
• Proficiency in SQL, Python, Power BI/Tableau/Metabase, GA4/Any other web analytics tools.
• Experience with web analytics and A/B testing frameworks.
• Understanding of marketing attribution and user segmentation.
• Exposure to data governance and quality checks.
• Familiarity with compliance, SaaS, or transactional web products is a strong plus.
• Strong communication skills, business acumen, and stakeholder management.

PERKS OF JOINING:

The Culture: most companies talk about their values, we live them.

• Supportive Culture: We value teamwork, mentorship, and professional development, and we show it by providing top-notch employee experience and training programs, and incentivizing team growth.
• Work-Life Balance: We support a hybrid work model and encourage our employees to create a healthy balance between personal and professional life.
• Rewards and Recognitions: Competitive compensation, annual and spot bonuses, and a focus on recognizing hard work with well-earned rewards are part of our DNA.
• Innovative Work: Contribute to cutting-edge solutions for e-commerce and SaaS businesses.

The Work: stability of a market leader with the hunger for innovation and growth of a start-up

• Impactful & Broad Role: You will have a seat at the table when it comes to key management decisions, drive critical marketing strategy and decisions, and have a voice in key product and user experience decisions.
• Growth Opportunities: Learn and grow from market veterans, take advantage of a fast-paced, collaborative environment, and enjoy the ability to move up the ladder when you earn it.
• Competitive Benefits: Access comprehensive insurance for health (incl. parents), life and personal accident.

ABOUT SILVERMINE GROUP:

Silvermine Group is the largest & most trusted provider of regulatory compliance services for the heavy trucking and transportation industries. Our compliance automation platform is secure, cloud-based, and certified by the IRS - helping over 100,000 customers every year file federally required documents - such as IRS Form 2290, Form 8849, and MCS-150 - accurately, securely, and on time. Our technology, highly skilled customer support, and relentless focus on product improvement and growth ensures that our customers' equipment stays on the road and their businesses keep humming.

Website: Silvermine Group Products: eform2290 and emcs150

Apply on: Location: Bangalore

About noon

noon, the region's leading consumer commerce platform. On December 12th, 2017, noon launched its consumer platform in Saudi Arabia and the UAE, expanding to Egypt in February 2019. The noon ecosystem of services now marketplaces for food delivery, quick commerce, fintech, and fashion. noon is a work in progress; we're six years in, but only 5% done.

noon's mission: Every door, every day

About noon Food

Noon Food is a restaurant-first platform on the noon app, offering fair commissions, a sustainable program, and operating flexibility for the food and beverage industry in the Middle East. The most recent addition to the noon ecosystem, the noon Food mission is to revolutionize the F&B delivery landscape, firmly putting the control and success back in the hands of retailers.

What you'll do:

Team noon has some of the fastest, smartest, and hardest-working people we've encountered. With a young, aggressive, and talented team, we're driving major missions forward.

• Act as a proactive problem-solver by continuously analyzing data to identify emerging business challenges and opportunities across customer segments, markets, and products
• Analyze every stage of the customer journey-from acquisition to engagement, retention, and monetization-to identify points of friction and design strategies to improve funnel performance.
• Design and evaluate A/B experiments to validate hypotheses and support product or growth decisions. Partner with relevant teams to ensure experiments are run with scientific rigor and deliver meaningful results.
• Continuously look for ways to improve analytics processes-enhance tools and infrastructure, make data more accessible, and streamline reporting for better efficiency and impact.
• Drive regular business review with stakeholder, contribute to strategy planning

What you'll need:

• Bachelor/Master degree in Engineering, Mathematics, Physics, Computer Science or equivalent
• Minimum 4+ years of experience in Analytics / Strategy / Consulting
• Excellent data analysis skills (investigation, modeling, mapping & gap analysis)
• Knowledge of Tableau/Power BI and other business intelligence and analytical tools
• Expert in SQL (must) / Python / R / SAS
• Able to develop, test, and deploy models on cloud / web
• Experience in handling large datasets - Expert data modeling skills
• Strong knowledge of fundamentals, including funnel analytics, customer segmentation, user activity modeling, churn analytics and A/B testing.
• Strong problem-solving capabilities- able to conceptualize, organize, simplify
• Ability to own projects end-to-end: building out timelines, key milestones, provide regular updates to stakeholders and delivery against agreed upon specs
• Ability to adapt in the dynamic and fast-paced environment
• Excellent verbal and written communication skills.

Who will excel?

• We're looking for people with high standards, who understand that hard work matters.
• You need to be relentlessly resourceful and operate with a deep bias for action.
• We need people with the courage to be fiercely original.
• noon is not for everyone; readiness to adapt, pivot, and learn is essential.

Company Description:

Featured by Everest Group among the top QA companies to watch out for, ImpactQA is a global software testing and quality assurance consulting company that provides services such as Quality Engineering, AI-based Test Automation, Performance Engineering, Security Testing, and a suite of continuous and automated testing services integrated seamlessly into the Software Development Life Cycle. Leveraging more than a decade of experience, we cater to a diverse portfolio of clients across a spectrum of business domains.

Our esteemed client roster includes Coinbase, Starbucks, TEREX, DTDC, Schneider Electric, PowerSchool, Lone Wolf, Majid Al Futtaim, PVR, Yes Bank, Panasonic, Deloitte, Rocket Internet, KFC, Terex, and many more. We offer unique combinations of onshore, offshore, and crowd testing ensuring cost efficiency and support tailored to Agile and Continuous Testing environments. Our headquarters is in New York, and we have delivery centers in the US, UK, and India.

Job Title: SAP Analytics Cloud (SAC) Developer

Location: Bengaluru, India

Employment Type: Full-time

Job Overview:

We are seeking a skilled SAP Analytics Cloud (SAC) Developer to join our team at the C Grade level. The ideal candidate will possess strong experience in SAC development and data visualization, along with the ability to integrate SAC with various SAP and non-SAP systems. This role involves collaboration with functional and technical teams, supporting end-to-end analytics solutions, and enabling data-driven decision-making across the organization.

Key Responsibilities:

• Collaborate with cross-functional and technical teams to integrate SAP Analytics Cloud with SAP and non-SAP systems.
• Conduct data analysis, cleansing, and transformation to ensure data accuracy and consistency within SAC.
• Design and develop interactive dashboards, reports, and visualizations using best practices in data presentation.
• Provide ongoing support, issue resolution, and performance enhancements for SAC solutions.
• Maintain comprehensive documentation of data models, configurations, and solution architecture.
• Deliver training and knowledge-sharing sessions for teams and stakeholders to promote effective use of SAC tools.

Primary Skills:

• 5-6 years of experience with reporting tools (e.g., SAP BusinessObjects, Lumira), including at least 3-4 years of hands-on experience in SAC.
• Strong expertise in SAP Analytics Cloud, including: Data modeling, Story, dashboard creation and System administration.
• In-depth knowledge of data visualization techniques and KPI reporting.
• Proven experience in integrating data from SAP and non-SAP sources using ETL processes.
• Proficiency in SQL and familiarity with relational databases and data warehousing concepts.
• Ability to interpret complex business requirements and translate them into effective technical solutions.
• Functional understanding of finance-related analytics.
• SAP Analytics Cloud certification is a plus.

Secondary Skills:

• Excellent communication skills - both verbal and written.
• Experience working in a distributed (onshore/offshore) team environment.
• Strong collaboration skills to work effectively with cross-functional stakeholders and translate business needs into technical deliverables.

ImpactQA Is Committed to Equality

ImpactQA is proud to be an equal opportunity and affirmative action employer. We do not discriminate based on race, religion, color, national origin, sex (including pregnancy, childbirth, or related medical conditions), sexual orientation, gender, gender identity, gender expression, transgender status, sexual stereotypes, age, status as a protected veteran, status as an individual with a disability, or any other characteristic legally protected by the laws of the jurisdiction in which you are being considered for hire.

We are urgently looking for an OAC ODI Architect

Oracle Analytics Consultant (OAC, ODI, FDI) Tech Architect

Location: Specify Location or Remote - Chennai - Ahmedabad

Expected DOJ June

Employment Type: Full-time

Experience Level: 10 - 15+ Years

Job Summary:

We are seeking an experienced and results-driven Senior Oracle Analytics Consultant with over 10 years of hands-on experience in Oracle Analytics Cloud (OAC), Oracle Data Integrator (ODI), and Fusion Data Intelligence (FDI). The ideal candidate will have a deep understanding of enterprise data architecture, data integration best practices, and cloud-based analytics solutions. This role involves working closely with cross-functional teams to design, implement, and support advanced analytics and data integration solutions that drive business value.

Key Responsibilities:

• Lead the design, development, and deployment of analytics solutions using Oracle Analytics Cloud (OAC).
• Architect and implement data integration pipelines using Oracle Data Integrator (ODI) for on-prem and cloud data sources.
• Collaborate with business and IT stakeholders to design and deploy Fusion Data Intelligence (FDI) based dashboards and KPIs.
• Optimize performance of OAC dashboards and reports, including data modeling and visualization best practices.
• Develop and manage data models, RPDs, and semantic layers within OAC.
• Build and maintain ETL mappings, packages, and workflows in ODI.
• Integrate Oracle Fusion Applications with OAC and FDI for near-real-time reporting.
• Drive data governance and quality initiatives across analytics platforms.
• Troubleshoot technical issues and provide solutions in a timely manner.
• Mentor junior developers and provide technical leadership on complex projects.

Qualifications:

• Bachelor's or Master's degree in Computer Science, Information Systems, or related field.
• 10+ years of relevant experience with strong focus on:
• Oracle Analytics Cloud (OAC) - Must
• Oracle Data Integrator (ODI) - Must
• Fusion Data Intelligence (FDI) - Good to Have
• Expertise in Oracle Fusion ERP/HCM data models and subject areas.
• Experience integrating multiple data sources, including on-premise and cloud systems.
• Strong understanding of SQL, PL/SQL, and performance tuning.
• Familiarity with data lake architecture, data warehousing, and ELT/ETL design patterns.
• Proven experience working in Agile/DevOps environments.
• Excellent communication, analytical thinking, and problem-solving skills.

Kindly share your resume on

Job Title: Technical Program Manager Data Engineering & Analytics

Experience : 16 - 20 Years ( Relevant Years )

Salary : Based on Current CTC

Location : Chennai and Hyderabad

Notice Period : Immediate Joiners Only.

Critical Expectations :

1 ) Candidate should have handled min 100 people Team size.

2) Should Have Min 8 Years experience into Data and AI Development

3) Should have exp in Complex Data Migration in Cloud.

Position Overview:

We are seeking an experienced Program Manager to lead large-scale, complex Data, BI, and AI/ML initiatives. The ideal candidate will have a deep technical understanding of modern data architectures, hands-on expertise in end-to-end solution delivery, and a proven ability to manage client relationships and multi-functional teams. This role will involve driving innovation, operational excellence, and strategic growth within Data Engineering & Analytics programs.

Job Description:

• Responsible to manage large and complex programs encompassing multiple Data, BI and AI/ML solutions
• Lead the design, development, and implementation of Data Engineering & Analytics solution involving Teradata, Google Cloud Data Platform (GCP) platform, AI/ML, Qlik, Tableau etc.
• Work closely with clients in understanding their needs and translating them to technology solutions
• Provide technical leadership to solve complex business issues that translate into data analytics solutions
• Prepare operational/strategic reports based on defined cadences and present to steering & operational committees via WSR, MSR etc
• Responsible for ensuring compliance with defined service level agreements(SLA) and Key performance indicators(KPI) metrics
• Track and monitor the performance of services, identify areas for improvement, implement changes as needed
• Continuously evaluate and improve processes to ensure that services are delivered efficiently and effectively
• Proactive identification of issues and risks, prepare appropriate mitigation/resolution plans
• Foster positive work environment and build culture of automation & innovation to improve service delivery performance
• Developing team as coach, mentor, support, and manage team members
• Creating SOW, Proposals, Solution, Estimation for Data Analytics Solutions
• Contribute in building Data Analytics, AI/ML practice by creating case studies, POC etc
• Shaping opportunities and create execution approaches throughout the lifecycle of client engagements
• Colloborate with various functions/teams in the organization to support recruitment, hiring, onboarding and other operational activities
• Maintain positive relationship with all stakeholders and ensure proactive response to opportunities and challenges.

Must Have Skills :

• Deep hands-on expertise in E2E solution life cycle management in Data Engineering and Data Management.
• Strong technical understanding of modern data architecture and solutions
• Ability to execute strategy for implementations through a roadmap and collaboration with different stakeholders
• Understanding of Cloud data architecture and data modeling concepts and principles, including Cloud data lakes, warehouses and marts, dimensional modeling, star schemas, real time and batch ETL/ELT
• Would be good to have experience in driving AI/ML, GenAI projects
• Experience with cloud-based data analytic platforms such as GCP, Snowflake, Azure etc
• Good understanding of SDLC and Agile methodologies
• Would be good to have a Telecom background.
• Must gave handled team size of 50+

Qualification:

• 15-20 yrs experience primarily working on Data Warehousing, BI& Analytics, Data management projects as Tech Architect, delivery, client relationship and practice roles - involving ETL, reporting, big data and analytics.
• Experience architecting, designing & developing Data Engineering, Business Intelligence and reporting projects
• Experience on working with data management solutions like Data Quality, Metadata, Master Data, Governance.
• Strong experience in Cloud Data migration programs
• Focused on value, innovation and automation led account mining
• Strong Interpersonal, stakeholder management and team building skills

Essential Qualifications:

• Bachelor of Engineering / Technology preferably IT, Computer Engg or Electronics & Communications, or ME / MTech / MS. MBA from top institute Preferred

Job Overview:

PGP Glass Pvt Ltd looking for a Head Analytics to join our growing team of data analytics experts and manage the processes and people responsible for accurate data collection, processing, modeling and analysis. The ideal candidate has a knack for seeing solutions in sprawling data sets and the business mindset to convert insights into strategic opportunities for our company. The Head Analytics will work closely with leaders across Product (Engineering, Manufacturing/ Integrated Supply Chain), Finance, Sales, and Marketing to support and implement high-quality, data-driven decisions. Will ensure data accuracy and consistent reporting by designing and creating optimal processes and procedures for analytics employees to follow. They will use advanced data modeling, predictive modeling and analytical techniques to interpret key findings from company data and leverage these insights into initiatives that will support business outcomes. The right person for the job will apply their exhaustive knowledge of data analysis to solving real-world problems faced by our company and finding opportunities for improvement across multiple projects, teams, business units and external partners/vendors.

Responsibilities for Head Analytics

• Lead cross-functional projects using advanced data modeling and analysis techniques to discover insights that will guide strategic decisions and uncover optimization opportunities
• Build, develop and maintain data models, reporting systems, data automation systems, dashboards and performance metrics support that support key business decisions
• Design and build technical processes to address business issues
• Oversee the design and delivery of reports and insights that analyze business functions and key operations and performance metrics
• Recruit, train, develop and supervise analyst-level employees
• Ensure accuracy of data and deliverables of reporting employees with comprehensive policies and processes
• Manage and optimize processes for data intake, validation, mining and engineering as well as modeling, visualization and communication deliverables
• Examine, interpret and report results of analytical initiatives to stakeholders in leadership, technology, sales, marketing and product teams
• Oversee the data/report requests process: tracking requests submitted, prioritization, approval, etc.
• Develop and implement quality controls and departmental standards to ensure quality standards, organizational expectations, and regulatory requirements
• Anticipate future demands of initiatives related to people, technology, budget and business within your department and design/implement solutions to meet these needs
• Organize and drive successful completion of data insight initiatives through effective management of analyst and data employees and effective collaboration with stakeholders
• Communicate results and business impacts of insight initiatives to stakeholders within and outside of the company

Travel: Required to travel to sites as per business needs

Qualifications for Head Analytics

• Working knowledge of data mining principles: predictive analytics, mapping, collecting data from multiple data systems on premises and cloud-based data sources
• Strong SQL skills, ability to perform effective querying involving multiple tables and subqueries Understanding of and experience using analytical concepts and statistical techniques: hypothesis development, designing tests/experiments, analyzing data, drawing conclusions, and developing actionable recommendations for business units
• Experience and knowledge of statistical modeling techniques: GLM multiple regression, logistic regression, log-linear regression, variable selection, etc.
• Experience writing advanced SAS code statements, models, and macros
• Experience working with and creating databases and dashboards using all relevant data to inform decisions
• Experience using analytics techniques to contribute to company growth efforts, increasing revenue and other key business outcomes
• Strong problem solving, quantitative and analytical abilities
• Strong ability to plan and manage numerous processes, people and projects simultaneously Excellent communication, collaboration and delegation skills
• We're looking for someone with at least 5 years of experience in a position monitoring, managing, manipulating and drawing insights from data, and someone with at least 3 years of experience leading a team. The right candidate will also be proficient and experienced with the following tools/programs:
• Strong programming skills with querying languages: SLQ, SAS, etc.
• Experience with big data tools: Teradata, Aster, Hadoop, Spark etc.
• Experience with data visualization tools: Tableau, Raw, chart.js, etc.
• Experience with Adobe Analytics and other analytics tools including
• Experience with data sets and databases of structured and unstructured characteristics
• Python, C, C++, JAVA, or other programming languages
• Experience with Excel, Word, and PowerPoint, Cloud Analytical platforms - AWS Redshift /Azure Synapse / Azure Stream Analytics

Role Summary:

Working as a member of GBS Transformation Team under general supervision of the Service Op Manager, the role is primarily responsible for data-driven decision-making and process optimization by applying advanced statistical and analytical techniques to process data. Innovate through the application of machine learning, process mining and predictive analytics to unlock opportunities for enhanced efficiency. Transform complex data into actionable insights through visually compelling dashboards, reports, and visualizations. Additionally, the role aims to encompass a holistic approach to process quality management & KPIs ensuring alignment with industry best practices in order to drive sustained excellence.

Key Responsibilities:

Create and maintain visually appealing dashboards and reports for effective communication of process insights.

• Transform complex data into actionable insights through visually compelling dashboards, reports, and visualizations
• Create informative and visually appealing dashboards, reports, and data visualizations to communicate process insights to stakeholders
• Define visualization strategies and evolve those to continue enhancing visualization effectiveness
• Define visualization effectiveness measure
• Maintain GBS metrics repository

Apply analytics techniques to identify and implement opportunities for process optimization

• Apply statistical and analytical techniques to process data to identify patterns, trends, and anomalies
• Apply advanced analytics techniques, such as machine learning and predictive analytics, to identify opportunities for process optimization
• Define and drive evolution of data analytics strategies
• Demonstrate how data analytics impacted process optimization
• Deliver metrics process efficiency initiatives focusing on process automation. Lead and supporting process capture efforts.
• Quantify and communicate the tangible impact of PI initiatives on efficiency, quality and relevant processes.
• Lead audits, assessments and change initiatives to drive ongoing improvement in process adherence and efficiency.

Define and optimize process quality metrics, ensuring alignment with organizational objectives

• Define process quality metrics and KPIs to measure adherence to standards.
• Establish mechanisms to monitor process quality in real-time or through periodic reviews.

Champions, partners and Leads Process Discipline Efforts, in collaboration with cross functional teams with GBS Service OP, PI Managers and D&A / Automation Hub

• Advocate and champion process discipline.
• In collaboration with the broader Process Improvement team, establish framework to contribute to identifying and addressing opportunities for improvement highlighted from completed data analytics.
• Provide a global, enterprise and customer centric mindset.
• Manage global business networking, connectivity, and relationships.
• Use data to tell the story to influence stakeholders to take data driven decisions to leverage performance.

Qualification:

Bachelor's degree in a related field such as Computer Science, Statistics, Mathematics, or Engineering.

Key Skills/ Experience Required:

• At least 5+ years of experience in statistical analysis, statistical modeling, and data visualization.
• Proficiency in data analysis tools and programming languages such as SQL and /or Python or other.
• 3 years of experience with machine learning and predictive analytics techniques
• Experience within process quality management and value reporting for transformational initiatives and processes across multiple functions and geographies involving auditing and assessment of processes.
• Proven experience in change management, quality assurance and measurements of stakeholder satisfaction

Greetings From LTIMindtree !

We are hiring for -

Job Title : Full Stack Engineer with hands on experience in LightningJS OR Lightning.JS , Typescript Video Analytics .

Hiring location - PAN India

Total Exp-3 to 10 Years

Notice Period-Any

Mandatory Skills :

Video Tech/Protocols

• HTML5 Video
• Media Source Extensions (MSE)
• Encrypted Media Extensions (EME)
• Streaming Protocols: HLS, DASH, MPEG-DASH
• HLS - HTTP Live Streaming
• DASH - Dynamic Adaptive Streaming over HTTP
• LightningJS or Lightning.JS

Domain

• Web/Video Streaming
• Web Video Playback
• Connected TV
• Video analytics
• Telemetry

About Tiger Analytics

Tiger Analytics is a global leader in AI and analytics, helping Fortune 1000 companies solve their toughest challenges. We offer full-stack AI and analytics services & solutions to empower businesses to achieve real outcomes and value at scale. We are on a mission to push the boundaries of what AI and analytics can do to help enterprises navigate uncertainty and move forward decisively. Our purpose is to provide certainty to shape a better tomorrow.

Our team of 4000+ technologists and consultants are based in the US, Canada, the UK, India, Singapore and Australia, working closely with clients across CPG, Retail, Insurance, BFS, Manufacturing, Life Sciences, and Healthcare. Many of our team leaders rank in Top 10 and 40 Under 40 lists, exemplifying our dedication to innovation and excellence.

We are a Great Place to Work-Certified (2022-24), recognized by analyst firms such as Forrester, Gartner, HFS, Everest, ISG and others. We have been ranked among the 'Best' and 'Fastest Growing' analytics firms lists by Inc., Financial Times, Economic Times and Analytics India Magazine.

About the role

This role is for a highly analytical and detail-oriented individual to join our Credit Card Product team. The Credit Card Product Analyst will play a crucial role in leveraging data to understand customer behavior, product performance, and market trends, ultimately driving strategic product decisions and enhancing the overall credit card portfolio.

Responsibilities:

Data Extraction & Analysis:

• Extract, manipulate, and analyze large datasets using tools like SQL, SAS, Python, or R.
• Develop and maintain data models, dashboards, and reports to monitor key performance indicators (KPIs) related to credit card products (e.g., acquisition, activation, usage, retention, profitability, risk).
• Perform in-depth ad-hoc analysis to identify trends, opportunities, and areas for improvement across the credit card product lifecycle, P&L (revenue and cost components)

Insight Generation & Storytelling:

• Translate complex data findings into clear, concise, and actionable insights and recommendations for product managers, senior leadership, and cross-functional teams.
• Develop compelling presentations and narratives to communicate insights effectively, articulating the "why" behind the data.
• Identify customer needs, behaviors, and pain points through data analysis to inform product enhancements and new feature development.

Product Performance Monitoring & Optimization:

• Track and analyze the performance of existing credit card products, identifying drivers of success and areas of underperformance.
• Support the development and evaluation of business cases for new product initiatives, features, and pricing strategies.
• Collaborate with marketing, sales, risk, operations, and technology teams to implement data-driven product strategies and campaigns.
• Monitor competitive landscape and market trends to identify opportunities for product innovation and differentiation.

Risk & Compliance Analytics:

• Work closely with the credit risk team to analyze credit card portfolio risk, identify potential issues, and support the development of risk mitigation strategies.
• Ensure all analytical activities comply with relevant regulatory requirements and internal policies.

Process Improvement:

• Continuously seek opportunities to improve data collection, analysis, and reporting processes.
• Automate reporting and analytical tasks where possible to increase efficiency.

Skill & Experience

Experience:

• Proven experience (6+ years, depending on level) in a data analytics role, within the financial services industry, with a focus on credit cards.
• Hands-on experience with data extraction and manipulation using SQL, SAS, Python, or R.
• Experience with data visualization tools (e.g., Tableau, Power BI) is highly desirable.
• Familiarity with credit card product lifecycle, key metrics, and industry best practices.

Skills:

• Strong Analytical & Problem-Solving Skills: Ability to interpret complex data, identify patterns, and draw meaningful conclusions. Excellent critical thinking and logical reasoning.
• Technical Proficiency: Advanced proficiency in SQL and/or SAS is essential. Experience with Python or R for data analysis is a strong plus.
• Data Visualization: Ability to create clear, compelling, and informative data visualizations.
• Business Acumen: Solid understanding of credit card business models, profitability drivers, and customer segments.
• Communication: Excellent written and verbal communication skills, with the ability to articulate complex analytical findings to both technical and non-technical audiences.
• Collaboration: Ability to work effectively in a cross-functional team environment.
• Proactive & Self-Motivated: A self-starter who can take initiative, manage multiple projects, and drive them to completion with minimal supervision.
• Attention to Detail: Meticulous approach to data accuracy and analysis.

Good to have:

• Experience with big data technologies (e.g., Hadoop, Spark).
• Knowledge of advanced statistical modeling or machine learning techniques.
• Experience with A/B testing and experimental design.
• Familiarity with financial regulations pertaining to credit cards.

Qualification

Education: Bachelor's degree in a quantitative field such as Finance, Economics, Statistics, Mathematics, Computer Science, or a related discipline. A Master's degree is a plus. Looking for Tier 1 colleges / business schools.