Find Your Dream Analytics Job in India

It's fun to work in a company where people truly BELIEVE in what they are doing!

We're committed to bringing passion and customer focus to the business.

About Fractal

Founded in 2000, Fractal Analytics () is a strategic analytics partner to the most admired Fortune 500 companies globally and helps them power every human decision in the enterprise. Fractal currently has 4500+ employees across 16 global locations, including the United States, UK, Ukraine, India, Singapore, and Australia. Fractal has been recognized as 'Great Workplace' and 'India's Best Workplaces for Women' in the top 100 (large) category by The Great Place to Work Institute; featured as a leader in Customer Analytics Service Providers Wave 2021, Computer Vision Consultancies Wave 2020 & Specialized Insights Service Providers Wave 2020 by Forrester Research Inc., a leader in Analytics & AI Services Specialists Peak Matrix 2022 by Everest Group and recognized as an 'Honorable Vendor' in 2022 Magic Quadrant for data & analytics by Gartner Inc. For more information, visit

Position Summary:

• Take business problem and build structured analytical approaches to solving, inclusive of identifying needed data, analysis required, and strategy for synthesizing and presenting the analysis results

• Design and build analytical solutions to enable recurring analysis of business performance

• Effectively scope, size, and plan the development of analytical solutions and set expectations accordingly.

• Translate high level business problems into discrete questions that can be answered by using data-driven models

• Identify opportunities to improve business performance through use of analytical approaches

• Translate output of models into recommendations for how the business can operate differently

Collaborative Relationships

• Develop and maintain effective working relationships with members of cross-functional teams.

• Create a strong partnership with all areas of the organization that require interaction.

• Partner with stakeholders to drive implementation of recommendations from analysis

• Keep individual, division, and total company goals in mind when making decisions.

• Demonstrate and utilize strong communication skills in all interactions.

Qualifications & Skills

• Minimum of 6 years of experience in business consulting, analytics, or a related field, with a proven track record of leading and delivering high-impact projects.
• Strong analytical and problem-solving skills, with expertise in statistical analysis, machine learning, and data modeling.
• Excellent communication and interpersonal skills, with the ability to articulate complex concepts to non-technical and senior stakeholders.
• Story boarding
• Experience in leading cross functional teams and envisioning + achieving roadmaps independently or via collaboration.
• Proficiency in data analysis tools and programming languages such as SQL, Python, R, or similar.
• Ability to pursue value additions beyond BAU and truly partner with clients.
• Experience with business intelligence tools (e.g., Tableau, Power BI) and data management platforms.

Open for other locations: Gurugram, Noida, Mumbai, Pune, Bengaluru, Chennai

If you like wild growth and working with happy, enthusiastic over-achievers, you'll enjoy your career with us!

Not the right fit? Let us know you're interested in a future opportunity by clicking Introduce Yourself in the top-right corner of the page or create an account to set up email alerts as new job postings become available that meet your interest!

We are hiring for TOP MNC for Data Analytics/Business Analyst-Sales Insights & Intelligence Creating sales reports.

Must have experience in- Creating sales reports.

Must have experience in- Excel functions, and preferably familiar with Power Query, Power Pivot and Power BI

Work Location- Bangalore & Hyderabad.

Qualification- Any graduate and postgraduate

Notice Period- Immediate- 30 Days.

Salary- 4- 8 Years- 9LPA

Salary - 6- 10 Years- 13LPA

Shift- Flexible to work in shifts and ork from office.

Skills Required

4- 10 years of experience in data analysis and sales operations.

• Experience in creating sales reports, proficient in using Excel functions, and preferably familiar with Power Query, Power Pivot and Power BI

• Preferably with experience in Software & Platforms industry, and knowledge of data and cloud infrastructure products.

• Responsible, strong communication skills, able to support customers in sales reporting and sales opportunity management.

• Able to accept flexible working hours and occasional overtime;

• Workflow management, Work assignment and tracking it to closure

• Proficiency in Microsoft Office Suite (Word, Excel, PowerPoint and Outlook)

• Experience in working as Subject Matter expert, Training delivery,

• Supporting new transitions, Building Process maps and DTP's, Root Cause Analysis and coaching team members"

"• Ability to establish strong client relationship

• Ability to manage multiple stakeholders

• Adaptable and flexible

• Collaboration and interpersonal skills

• Problem-solving skills

• Commitment to quality

• Process orientation

• Agility for quick learning

Roles and Responsibilities: •"Team Reporting & Business Analysis: Manage the production of business analysis and summary reports for the sales team, ensuring that the reports align with the overall sales objectives.

Custom Report Management: Oversee the creation and timely delivery of customized reports, ensuring they provide insights that support decision-making and sales strategy.

Sales Meeting & Communication: Lead the organization of communication meetings with the sales team, ensuring that the minutes are recorded, action items are tracked, and risks to sales opportunities are addressed.

Data Inquiry Management: Supervise responses to data-related inquiries from the sales team, ensuring accurate, clear, and timely information is provided. Troubleshoot any complex data challenges.

Team Development & Coaching: Manage a team of 10+ employees, providing coaching on reporting and business analysis skills. Help them develop professionally by fostering a collaborative and high-performance environment

Process Improvement: Identify opportunities to improve the reporting process, ensuring efficiency and accuracy.

Performance Monitoring: Track team performance, ensuring that deadlines are met and quality standards are upheld."

Interested candidates please share resume on below details

Share CV on:

Call to: Amzad Ali -

Analytics - Senior Manager

Experience: 6-8 Years

Position Summary

We are looking for Senior Manager, Analytics with strong analytical and logical thinking. Candidate should oversee and develop analytics service offering and develop, execute and optimize strategies. This role may include direct management of team member(s) and oversee team deliverables. This is an exceptional opportunity to build your career and work with some of the largest brands in an amazing agency environment.

Key Responsibilities

• Guide the team members, typically comprising first-line managers and supervisors
• Ensuring clarity around priorities and goals for the entire functional area
• Develop business opportunities
• Working across functions with peers in other groups to ensure collaboration for shared goals
• Working with senior management and other peers for strategy development and execution planning
• Monitor performance, conduct the evaluation and take corrective actions when necessary
• Create goals for the broader function and work with managers to ensure the goals cascade to all workers
• Prepare industry level/research reports which benefit client and organization
• Design user-flow strategies and recommend changes for optimal consumer experience
• Ability to analyze and create holistic dashboards/reports by pulling data from different data sources and present to senior clients
• Design and build dashboards and other visualizations using data visualization tools like Tableau

SKILLS

• Hands-on experience with tools like Google Analytics, Google Tag Manager, Adobe Analytics and Dynamic Tag Manager
• Proficient in Data visualization tools like PowerBi, Tableau and Data Studio
• Strong command of the language with the ability to communicate persuasively and effectively
• Ability to lead through influence rather than direct authority
• Ability to work productively, always projecting a positive outlook in a fast-paced, deadline-driven environment
• Strong technical skills & knowledge for Listening, Website & Social Media Analytics
• Experience at handling a team, mentoring and guiding them
• Hands-on experience with providing measurable solutions to the portfolio of client
• Basic understanding of HTML, PHP, Javascript

QUALIFICATIONS:

• Graduate/Post Graduate in any stream
• Certified In Google Analytics and Tag Manager
• Additional Courses in relevant streams i.e. Website Analytics, Digital Marketing, Data Analytics, etc. are preferred

WHAT YOU CAN EXPECT FROM INTERACTIVE AVENUES

Interactive Avenue's vision is to make advertising more insightful to the brands. We do this by employing the world's very best talent to solve some of the toughest challenges of today's digital marketing landscape. It's important that we hire people whose values reflect those of our own: genuine, results-focused, daring and insightful. As an Interactive Avenues employee, we promise you a workplace that invests in your career, cares for you and is fun and engaging. We believe these factors create a workplace where you can be yourself and do amazing work.

Job ID: 35502

Job Level: PT1

Job Location: Gurgaon / Bangalore

Function: Digital & Information Office (DIO)

Employment Type: Perm / FTC

Working pattern: Hybrid

Why we need this role

At Colt, we are changing the perception of our business and industry sector. As part of this transformation, we are growing new services and teams to facilitate and drive the business to the next level.

Colt provides world-class network and communications services to information-intensive businesses across Europe, Asia and North America. With local market understanding and global reach - Colt is big enough to deliver and small enough to care.

Software Engineering Specialist is responsible to bring deep technical expertise to advance software development practices and delivering high-quality solutions tailored to Colt's requirements. They provide necessary technical leadership to the teams and collaborate with stakeholders to understand business requirements and provide technical input.

What will you do

• Leadership:

Lead architecture and design discussions with technical architects, data architects, solution architects, technical teams, and developers.

Lead the implementation, configuration, and optimization of Salesforce Customer 360 to meet business requirements.

• Platform Development:

Expertise in Salesforce Data Model (objects, fields, relationships) and how to design custom data models using CRM Analytics for business needs.

Design and develop scalable, high-performing solutions across Sales Cloud and CRM Analytics.

Design and develop custom solutions on the Salesforce platform using Apex, Visualforce, Lightning components, and

other Salesforce technologies.

Ensure data integrity, security, and compliance within the Salesforce environment.

Expertise in tools like Process Builder and Flow Builder.

Expertise in AI-driven Salesforce solutions such as Salesforce Einstein for predictive analytics, insights, and personalization (Einstein Analytics, Einstein Prediction Builder, etc.).

Stay updated with Salesforce innovations and emerging technologies to optimize solutions.

Support business teams in identifying opportunities for automation and process improvements.

• Integration Development:

Extensive knowledge of integrations between Salesforce and other enterprise systems using APIs, middleware tools like MuleSoft, third-party tools, data loader and data integration techniques.

Extensive experience on Salesforce's REST and SOAP APIs for integration with third-party systems.

Ensure seamless data flow and synchronisation between Salesforce and external systems.

Troubleshoot and resolve integration issues, ensuring data integrity and consistency.

• Data Management and Governance:

Ensuring high data quality, implementing validation rules, and following best practices for data governance in Salesforce.

Reporting & Analytics: Creating custom reports, dashboards, and leveraging Salesforce Einstein Analytics for deeper insights.

Data Security: Understanding of data security, sharing rules, field-level security, roles, and profiles in Salesforce.

• Customer 360 Implementation:

Unified Customer View: Design solutions that aggregate customer data from across all Salesforce Clouds (Sales, Service, Marketing, etc.) to create a 360-degree customer view.

Customer Journey Mapping: Mapping out the customer journey across touchpoints to improve customer experience and engagement.

Customer Segmentation: Leveraging data for segmentation and personalization strategies, especially with Marketing Cloud and Sales Cloud.

• Quality Assurance:

Conduct code reviews to ensure code quality, performance, and security.

Develop and execute unit tests, integration tests, and user acceptance tests.

Troubleshoot and resolve issues related to Salesforce applications and integrations.

• Documentation & Training:

Create and maintain technical documentation for Salesforce solutions and integrations.

Provide training and support to end-users and team members on Salesforce functionalities and best practices.

What we offer you:

Looking to make a mark?

At Colt, you'll make a difference. Because around here, we empower people. We don't tell you what to do.

Instead, we employ people we trust, who come together across the globe to create intelligent solutions.

Our global teams are full of ambitious, driven people, all working together towards one shared purpose: to put the power of the digital universe in the hands of our customers wherever, whenever and however they want.

We give our people the opportunity to inspire and lead teams, and work on projects that connect people, cities, businesses, and ideas. We want you to help us change the world, for the better.

Diversity and inclusion

• Inclusion and valuing diversity of thought and experience are at the heart of our culture here at Colt. From day one, you'll be encouraged to be yourself because we believe that's what helps our people to thrive. We welcome people with diverse backgrounds and experiences, regardless of their gender identity or expression, sexual orientation, race, religion, disability, neurodiversity, age, marital status, pregnancy status, or place of birth.

Most recently we have:

• Signed the UN Women Empowerment Principles which guide our Gender Action Plan
• Trained 60 (and growing) Colties to be Mental Health First Aiders
• Please speak with a member of our recruitment team if you require adjustments to our recruitment process to support you. For more information about our Inclusion and Diversity agenda, visit our DEI pages .

Benefits

Our benefits support you through all parts of life, for both physical and mental health.

• Flexible working hours and the option to work from home.
• Extensive induction program with experienced mentors and buddies.
• Opportunities for further development and educational opportunities.
• Global Family Leave Policy.
• Employee Assistance Program.
• Internal inclusion & diversity employee networks.

A global network

• When you join Colt you become part of our global network. We are proud of our colleagues and the stories and experience they bring - take a look at 'Our People' site including our Empowered Women in Tech.

MongoDB's mission is to empower innovators to create, transform, and disrupt industries by unleashing the power of software and data. We enable organizations of all sizes to easily build, scale, and run modern applications by helping them modernize legacy workloads, embrace innovation, and unleash AI. Our industry-leading developer data platform, MongoDB Atlas, is the only globally distributed, multi-cloud database and is available in more than 115 regions across AWS, Google Cloud, and Microsoft Azure. Atlas allows customers to build and run applications anywhere-on premises, or across cloud providers. With offices worldwide and over 175,000 new developers signing up to use MongoDB every month, it's no wonder that leading organizations, like Samsung and Toyota, trust MongoDB to build next-generation, AI-powered applications.

Summary

As a Senior Analytics Engineer I at MongoDB, you will play a critical role in leveraging data to drive informed decision-making and simplify end user engagement across our most critical data sets. You will be responsible for designing, developing, and maintaining robust analytics solutions, ensuring data integrity, and enabling data-driven insights across all of MongoDB. This role requires an analytical thinker with strong technical expertise to contribute to the growth and success of the entire business.

This role is based out of Gurugram.

Responsibilities

• Design, implement, and maintain highly performant data post-processing pipelines
• Create shared data assets that will act as the company's source-of-truth for critical business metrics
• Partner with analytics stakeholders to curate analysis-ready datasets and augment the generation of actionable insights
• Partner with data engineering to expose governed datasets to the rest of the organization
• Make impactful contributions to our analytics infrastructure, systems, and tools
• Create and manage documentation, and conduct knowledge sharing sessions to proliferate tribal knowledge and best practices
• Maintain consistent planning and tracking of work in JIRA tickets

Qualifications & Skills:

• Bachelor's degree (or equivalent) in Computer Science, Mathematics, IT, Engineering, or a related field
• 3-5 years of hands-on experience in data analytics or engineering roles
• Strong command of SQL and experience working with relational databases
• Solid understanding of data modeling principles and ETL/ELT processes
• Proficient in Python for automation, data processing, and analysis
• Experience building and orchestrating data pipelines using dbt and Airflow
• Comfortable using command line tools for scripting and operations
• Familiar with tools like Hive, Trino (Presto), SparkSQL, and Google BigQuery
• Experience with cloud storage solutions such as AWS S3 and Google Cloud Storage (GCS)
• Skilled in version control and collaboration using Git
• Follows CI/CD best practices and modern deployment workflows
• Proven ability to break down business requirements into clear technical deliverables
• Experienced in integrating data from multiple sources to uncover new insights
• Background in projects involving business metrics and performance data
• Excellent communication skills for documentation, presentations, and cross-functional collaboration
• Strong team player with the ability to work across departments and influence outcomes
• Passionate about process optimization and tool development for better efficiency
• Enthusiastic about leveraging AI to enhance workflows and drive smart outcomes
• Committed to continuous learning and self-improvement

To drive the personal growth and business impact of our employees, we're committed to developing a supportive and enriching culture for everyone. From employee affinity groups, to fertility assistance and a generous parental leave policy, we value our employees' wellbeing and want to support them along every step of their professional and personal journeys. Learn more about what it's like to work at MongoDB , and help us make an impact on the world!

MongoDB is committed to providing any necessary accommodations for individuals with disabilities within our application and interview process. To request an accommodation due to a disability, please inform your recruiter.

MongoDB, Inc. provides equal employment opportunities to all employees and applicants for employment and prohibits discrimination and harassment of any type and makes all hiring decisions without regard to race, color, religion, age, sex, national origin, disability status, genetics, protected veteran status, sexual orientation, gender identity or expression, or any other characteristic protected by federal, state or local laws.

Objective

The Assistant Manager is responsible for driving and overseeing Reporting and Analytics across key business areas, including Marketing Analytics, Customer Insights, Financial Data, Campaign Performance, and other critical business metrics. This role plays a strategic part in delivering high-quality analytical outputs, encompassing both regular reporting and complex ad-hoc analysis to support data-driven decision-making.

As a key leader within the analytics function, the Assistant Manager will not only provide subject matter expertise but will also guide reporting initiatives from design to execution. The role requires close collaboration with cross-functional teams, ensuring alignment with business goals and data strategy.

Key Responsibilities

1.Reporting and Analytics Oversight:

• Design, implement, and maintain scalable reporting frameworks across business segments using tools such as Power BI and Excel.
• Ensure the accuracy, completeness, and timely delivery of reporting outputs, leveraging automated processes where appropriate.
• Analyze data trends and performance metrics using Python, SQL, and BI tools to deliver actionable insights that support data-driven decision-making.

2.Data Management and Governance:

• Manage and maintain data pipelines and sources, ensuring integrity and consistency across platforms including Oracle SQL databases.
• Apply data governance best practices to ensure adherence to data quality standards, privacy policies, and regulatory compliance.
• Partner with IT and data engineering teams to support data integration, ETL processes, and system enhancements for improved data accessibility and performance.

3.Analysis Support:

• Respond efficiently to ad-hoc data requests, providing quick and accurate analysis using Python, SQL, and Excel.
• Conduct deep-dive analyses to explore complex business questions, uncover patterns, and identify improvement opportunities.
• Translate data insights into clear, concise visualizations and presentations using PowerPoint and Power BI for diverse stakeholders.

4.Reporting Initiative Leadership:

• Lead reporting and analytics initiatives from concept through execution, aligning deliverables with strategic business objectives.
• Mentor junior analysts, promoting best practices in data analysis, reporting, and the use of analytical tools.
• Drive innovation in reporting methodologies and tool adoption, enhancing organizational analytics maturity and efficiency.

Need to Have Areas

1.Minimum 3-4 years of hands-on experience in Analytics, handling large volume of data, deep dive analysis, Oracle SQL, Advanced Excel, Power BI, Tableau, R Experience with dynamic dashboard creation

Job Description - Sr. Principal Architect Data & Analytics - GSI's at HCLSoftware/HCL Actian Data Portfolio

Location - Bengaluru(Preferred) Noida - Secondary

Exp - 15+Yrs.

We are looking for a Sr. Principal Architect Data & Analytics for Global System Integrators for HCL Software with a proven track record of solutioning integration, analytics, data management solutions working with Large Global Partners/GSI's. This individual utilizes analytical database, BI/Analytics and integration skills to partner with the GSI leaders and GSI Partners and function as the key technical point of contact for, creating joint Solution offerings, setting up COE, Enabling GSI's, creating strong value proposition for partners in Partner Led deals, providing pre-sales support contributing towards the successful creation of Scale and pipeline with GSI's. A significant portion of the Sr. Principal Architect role includes the entire value realization journey of engaging with GSI's including scoping opportunities, defining solution offerings, creating scale use cases and providing demonstrations and executing Proof-of-Concepts. This includes working with the GSI's to gain an understanding of their business and its needs, mapping our offerings to those needs, and providing competitive analysis that assists with the successful positioning of our offerings.

This person has a broad range of skills and experience ranging from data architecture to ETL, security, performance analysis, and analytics. He/she will have the insight to make the connection between a customer's specific business problems and Actian - The data division of HCL Software, be the thought leader to communicate that connection and vision to a wide variety of technical and executive audiences, and the technical skills to be able to provide consultative assistance on architecture and be the trusted technical advisor and evangelist.

This person also shares our vision about reinventing the data platform and thrives in the dynamic environment. That means having the flexibility and willingness to jump in and get done what needs to be done to make Actian, the data division of HCL Software and our GSI Partners successful. It means keeping up to date on the ever-evolving technologies for data and analytics in order to be an authoritative resource for HCL Software Data solutions and be the voice for our global Partner Community and it means working collaboratively with a broad variety of people both inside and outside the company.

What You Will Be Doing

• Be a technical guide on all aspects of Actian Data Solutions - Data Intelligence Platform, Data Observability, Data Connect, Actian Data Platform and create Sales plays on Actian Databases use cases
• Create Data specific joint solution offerings, Drive enablement, Create Account based Value propositions, Create Vertical themes working together with GSI's, Setting up Data COE with GSI's, create GSI led sales plays, Creating joint assets with GSI's
• Collaborate with the HCLSoftware GSI Sales team, Actian Teams and GSI Partners to find and close new business opportunities
• Provide strategic pre-sales support for sales activities including needs analysis, technology review, requirements definition, and scoping
• Create and deliver world-class product presentations and demonstrations to meet prospect, customer, or internal needs
• Work with Partners on proof-of-concept projects in a competitive environment
• Maintain deep understanding of competitive and complementary technologies and vendors and how to position Actian Data Solutions in relation to them
• Provide guidance on how to resolve customer-specific technical challenges
• Collaborate with Product Management, Engineering, and Marketing to continuously improve Actian products and marketing.
• Researching companies and prospects to identify business issues and needs, and providing results of that research to customers to support our recommendations
• Become an expert in our products' features, benefits, presentations, and application to customer needs
• Provide proactive support to customers and prospects with the goal of facilitating sales
• Establish and maintain positive customer relationships, and follow-up on opportunities
• Be the customer advocate and liaison for product management and development

What You Bring

• Minimum 10 years of experience working with GSI's in an Enterprise Architect role
• Bachelor's, or higher, in computer science, engineering, mathematics or related fields, or equivalent experience
• Outstanding skills presenting to both technical and executive audiences, whether impromptu on a whiteboard or using presentations and demos
• Understanding of data management and data governance methodologies and technologies
• Strong skills in integration, databases, data warehouses, and data processing
• Extensive in contributing to blueprinting, design workshops and requirements gathering activities.
• Experience and track record of success selling data and/or analytics software to enterprise customers; includes proven skills identifying key stakeholders, winning value propositions, and compelling events
• Experience with connectivity technology, ODBC, Spark, JSON, etc.
• Experience and understanding of large-scale infrastructure-as-a-service platforms (e.g. Google Cloud Platform, Amazon AWS, Microsoft Azure)
• Prior Experience in organizations like Collibra, Alation or Informatica would be useful
• Experience using GCP, AWS and/or Azure Services
• Experience supporting enterprise SaaS software

About Straive:-

Straive is a market leading Content and Data Technology company providing data services, subject matter expertise, & technology solutions to multiple domains.

Data Analytics & Al Solutions, Data Al Powered Operations and Education & Learning form the core pillars of the company's long-term vision. The company is a specialized solutions provider to business information providers in finance, insurance, legal, real estate, life sciences and logistics. Straive continues to be the leading content services provider to research and education publishers.

Data Analytics & Al Services: Our Data Solutions business has become critical to our client's success. We use technology and Al with human experts-in loop to create data assets that our clients use to power their data products and their end customers' workflows. As our clients expect us to become their future-fit Analytics and Al partner, they look to us for help in building data analytics and Al enterprise capabilities for them.

With a client-base scoping 30 countries worldwide, Straive's multi-geographical resource pool is strategically located in eight countries - India, Philippines, USA, Nicaragua, Vietnam, United Kingdom, and the company headquarters in Singapore.

Website:

Designation: Data Scientist

Job Location: Remote

Qualifications: BE/ BTech/ ME/ MTech/ MSc Statistics

Years of Experience: 2 to 8 years

Role and Responsibilities:

Marketing & Customer Analytics:

• Provide processes to measure, manage, and analyze marketing activities.
• Offer actionable insights and recommendations to optimize marketing ROI and performance efficiency.
• Use customer behavior data for market segmentation, predictive analytics, direct marketing, site selection, and customer relationship management.

Data Science and Analysis:

• Apply scientific methods, processes, and systems to extract knowledge or insights from various forms of data (structured and unstructured).
• Employ multivariate statistical techniques such as regression, classification, and segmentation to analyze data.

Machine Learning:

• Design, build, and deploy machine learning models focused on customer behavior, segmentation, churn prediction, recommendation systems, and lifetime value estimation.
• Collaborate with cross-functional teams (marketing, product, engineering) to identify business challenges and provide data-driven solutions.
• leverage machine learning techniques to extract insights from customer data, develop predictive models, and drive data-informed decision-making to improve customer engagement, retention, and lifetime value.

Required Skills and Expertise:

• Proficiency in programming languages commonly used in data science such as SQL, Python R and Visualization tools like Power BI, Tableau etc.
• In-depth knowledge of multivariate statistical techniques, including regression, classification, and segmentation.
• Ability to analyze and interpret complex data sets.
• Expertise in handling structured and unstructured data.
• Skilled in SQL querying with data extraction, transformation, and loading (ETL) processes.
• Understanding of marketing metrics and the ability to analyze marketing activities.
• Experience in Consumer Analytics, Customer Analytics or Marketing Analytics working in CPG, FMCG industry would be an added advantage.
• Experience in providing insights for optimizing marketing strategies and operations.
• Ability to work effectively within a team, particularly in interdisciplinary settings.
• Experience in managing projects and delivering results within specified timelines.
• Strong analytical and problem-solving skills to address complex business and technical challenges.

"Straive is an Equal Opportunity Employer. Our policy is clear: there shall be no discrimination based on age, disability, sex, race, religion or belief, gender reassignment, marriage/civil partnership, pregnancy/maternity, or sexual orientation.

We are an inclusive organization and actively promote equality of opportunity for all with the right mix of talent, skills and potential. We welcome all applications from a wide range of candidates. Selection for roles will be based on individual merit alone.

We're not looking for someone to just "report the numbers." We're looking for someone who knows how to build reporting systems, analyze patterns, and turn marketing noise into clean, actionable insights. You'll be the analytical engine behind our performance marketing.

At Alviras Solutions, we support purpose-driven eCommerce brands with high-performance marketing. We believe in clean data, clear insights, and creative campaigns that are measurable and scalable. If you get excited by dashboards, attribution models, structured testing, and the backend of ad performance, this is your kind of playground.

You'll sit at the intersection of performance marketing, reporting, and analytics-bringing clarity to campaigns and helping us (and our clients) make smarter decisions, faster.

Build and maintain custom dashboards using Power BI, Looker Studio, and Google Sheets/Excel

Set up and manage GTM (Google Tag Manager) for clean tracking, event tagging, and data validation

Collect, organize, and store raw data from multiple sources in clean, well-structured formats for analysis and reporting

Monitor and report on paid media performance, highlighting crucial insights & trends.

Track and analyze organic performance across SEO and social; report on rankings, visibility, and content performance

Maintain and enforce UTM tracking frameworks to ensure clean attribution across all platforms

Integrate Shopify sales and behavioral data into dashboards and reporting flows

Build performance models and cohort-based analysis to forecast campaign outcomes, LTV, and retention trends

Own the integrity of marketing data pipelines-ensuring data accuracy across GTM, analytics platforms, and reporting tools

Provide insights that influence testing, budgeting, and creative strategy

Help optimize internal reporting SOPs and improve data organization across accounts

Coordinate and support social media posting across platforms.

You've launched reporting systems that streamline data and help the team make faster, smarter decisions

GTM setups are clean and effective, with key client events properly tracked and validated

Your dashboards act as live control centers-connecting ad spend, organic growth, and Shopify behavior in one unified view

Shopify data is fully integrated with marketing reports, providing insights into user journeys and conversion patterns

You've collected and organized historical performance data across all major channels in one place, identifying trends and patterns that shape current strategies

Your analysis identifies not just what's working, but why-and has influenced strategic direction across at least 2 client accounts

You're fully self-sufficient in managing and maintaining basic social media posting across platforms with accuracy and consistency

• Strong Excel/Google Sheets skills - advanced formulas, charts, pivot tables, and data automation
• Experience with Power BI, Looker Studio, and building custom dashboards
• Solid command of Google Tag Manager (GTM) - tag implementation, events, and working with the data layer
• Hands-on reporting experience across Meta Ads, Google Ads, Pinterest Ads, Bing Ads, or similar platforms
• Proficiency in GA4, structured UTM tagging, and basic attribution modeling
• Comfort working inside Shopify - understanding analytics, funnel data, and store performance
• Familiarity with SEO tools like Ahrefs, SEMrush, and Google Search Console
• Bonus: Experience with Supermetrics, Google BigQuery, or light SQL querying
• Clear communication-you can turn complex data into actionable insights and recommendations

You'll help define how performance is measured and optimized across amazing brands

You'll work directly with creatives, strategists, and leadership-your insights will drive action

You'll be trusted to build systems, not just follow instructions

You'll grow your skills fast across channels, tools, and performance disciplines

You'll have ownership, autonomy, and impact

• Excel / Google Sheets
• Power BI
• GTM (Google Tag Manager)
• Shopify
• Looker Studio
• Ahrefs
• SEMrush
• GA4

• Google Ads
• Meta Ads
• Pinterest Ads
• Bing Ads
• Google BigQuery / SQL
• ClickUp
• Todoist
• Social Media Platforms

We move fast, work hard, and expect you to take ownership-not just of your tasks, but of your impact. Some things that'll help you thrive in this role:

• Be organized and on time - We respect each other's time and stay ahead of deadlines.
• Be proactive and communicative - Share your wins, your blockers, and your questions. Speak up early and often.
• Work in the future - Plan ahead. Anticipate needs before they arise. Keep things moving.
• Stay data-obsessed - Let insights drive your decisions, not assumptions.

Alviras Solutions is a performance-driven digital marketing agency helping eCommerce brands grow with clarity and purpose. We specialize in building intelligent systems for paid media, analytics, SEO, and creative strategy. Our clients trust us not just to execute-but to think, test, and scale with intention.

We're small, sharp, and selective. And we're building a team of thoughtful operators who want to do great work, not just more work.

At Airtel, we are reimagining how over 400 million customers across India connect, transact, and engage-whether they are large enterprises, small businesses, or everyday consumers. With 2 trillion data events processed daily and over 100 petabytes of data infrastructure, we are evolving to building AI-native capabilities that deliver intelligence at scale.

As the digital and data landscape evolves rapidly, we are looking for a Principal Data Analyst who will help lead this mission. This is a high-impact leadership role focused on defining strategy, shaping business decisions with AI-first analytics, and influencing executive direction across both Consumer and B2B verticals.

About the Role

You will lead the definition, development, and delivery of AI-powered analytics solutions across critical business domains-ranging from digital customer journeys and revenue growth to network performance, sales operations, collections, and customer experience. You will drive impact by breaking down complex, ambiguous business problems and turning them into structured, data-driven strategies. You'll work across highly matrixed functions and with senior leaders to embed AI into the fabric of decision-making at Airtel.

This role requires a strong blend of technical depth, business understanding, stakeholder influence, and leadership maturity.

Key Responsibilities

Shape Analytics and AI Strategy

• Define the vision and roadmap for AI-driven analytics across Airtel's Consumer and B2B businesses.
• Design frameworks to measure product, sales, marketing, finance, and customer experience performance.
• Champion the use of predictive analytics, Generative AI, and large language models to automate and personalize insight delivery.

Influence Senior Leadership and Drive Clarity

• Engage directly with Airtel's executive and CXO leadership to present analytics insights and influence decisions.
• Translate complex AI and machine learning outputs into clear, compelling business narratives.
• Proactively bring structure and clarity to high-stakes, ambiguous problem spaces through data.

Build and Scale Analytics Execution

• Partner with data engineering teams to build scalable solutions and data pipelines.
• Drive experimentation with predictive modeling, anomaly detection, forecasting, and Generative AI.
• Ensure analytics readiness from the start of every product, marketing, or operations initiative.

Lead Cross-Functional Collaboration in a Matrixed Organization

• Work across product, sales, network, finance, and customer experience teams to prioritize and execute data initiatives.
• Bring diverse teams together to align on metrics, methodologies, and insights.
• Evangelize a culture of decision-making rooted in data and AI.

Mentor, Grow, and Uplift Analytics Talent

• Lead, coach, and inspire a team of high-performing analysts.
• Build capabilities in emerging areas like LLM-driven analytics, automated reporting, and responsible AI.
• Foster a high-accountability culture with strong analytical rigor and storytelling excellence.

Qualifications

Experience

• 10+ years of experience in analytics, with at least 4 years in a leadership role managing teams.
• Demonstrated success in scaling analytics in complex, fast-paced organizations.

Business Acumen

• Deep understanding of both B2B and Consumer business models, including sales, product, digital channels, and customer lifecycle metrics.
• Familiarity with telecom KPIs like ARPU, churn, usage segmentation, NPS, collections, and network performance.

AI & Technical Skills

• Hands-on proficiency in Python, PySpark, Scikit-learn, TensorFlow, or similar tools.
• Experience with machine learning use cases like forecasting, churn prediction, personalization, and anomaly detection.
• Exposure to cloud-native analytics platforms (e.g., Google Cloud, AWS, Azure ML) and LLMs such as GPT, Claude, Gemini.
• Strong working knowledge of data visualization tools like Tableau, Power BI, or Looker.

Leadership & Communication

• Proven ability to work across matrixed teams and influence senior stakeholders through data.
• Strong problem-solving and communication skills-able to drive clarity from chaos.
• Experience mentoring talent, setting analytical standards, and building team culture.

Why Airtel

• Opportunity to define how AI and data shape the future of one of India's largest digital ecosystems.
• High-impact role engaging directly with senior leadership and influencing cross-company strategy.
• Work on meaningful, large-scale problems that span both consumer and enterprise ecosystems.
• Be part of a fast-moving, outcome-driven, and highly collaborative team.

TCS Hiring for SAP Analytics Cloud (SAC), Datasphere

Location: Chennai, Bangalore

Job Description

• Responsible for Installing business content data sources and other BW objects, Preparing design document, technical specification and unit test documents.
• Gather and analyse requirements, model client data, key performance indicators, and/or market data using a broad set of analytical tools and techniques to develop quantitative and qualitative business insights and improve decision-making for our customers.
• Building SAP SAC data driven reports. Hands-on experience in creating Data Analytics Reports using SAP Cloud Analytics.
• Developing and maintaining SAP Datasphere - Tables, Views, Intelligent Lookup, Data Flow, Task Chain, etc.

Job Requirements

• Should have experience in banking domain
• At least 4 years of experience in SAC, Datasphere jobs
• Experience in SAP Analytics Cloud (SAC) - SAC Story, Model, Teams, Roles, etc.
• Experience in SAP BTP for BW - CDS View, Routines, Functional Modules, User Exits, BadI implementation, etc.
• Experience in S/4 HANA embedded analytics.
• Experience in HANA Modelling - calculation view, joins, union, variables & input parameter, etc.
• Good exposure to SAP BW/4HANA and BI/SAC reporting - ADSO, Composite Provider, ODP BW Extractors, Open ODS View, BW Query, Webi, etc.
• Good knowledge on SAP Datasphere - Tables, Views, Intelligent Lookup, Data Flow, Task Chain, etc.
• Able to collaborate with clients
• Have a strong desire to excel and be committed to gaining exposure while further developing your career
• Good stakeholder management

Required Skill

• SAC Security Implementation
• SAC User stories creation
• SAC dashboard Development
• Datasphere Security Implementation
• Datasphere Data Modelling
• Datawarehouse Knowledge
• ETL expertise

Senior Manager - Data Analytics

Overview:

This role is responsible for managing a team of data professionals, delivering actionable insights, and ensuring that data initiatives positively impact business performance.

Key Responsibilities:

• Strategy & Leadership
• Develop and execute a data strategy aligned with product development and business objectives.
• Lead and mentor a team of data analysts and BI professionals.
• Foster a culture of data-driven decision-making across the product lifecycle.
• Data Operations & Insights
• Oversee data collection, analysis, and interpretation to deliver actionable insights for product improvement.
• Ensure timely delivery of accurate reports, dashboards, and visualizations to support business decisions.
• Integrate new data sources and technologies to enhance and innovate product analytics.
• Performance Measurement
• Define and track product-specific KPIs and metrics to evaluate performance and inform strategy.
• Assess the impact of data-driven initiatives on product success and user experience.
• Stakeholder Collaboration
• Communicate complex data concepts clearly to non-technical stakeholders to support strategic decision-making.
• Collaborate with cross-functional teams to understand and address product data needs effectively.
• Provide insights and recommendations to guide strategic product initiatives and enhancements.
• Innovation & Advocacy
• Advocate for the role of analytics in product innovation and growth.
• Share success stories and case studies that highlight the impact of data on product outcomes.
• Stay updated on trends and advancements in analytics and data technologies.
• Team Development
• Foster innovation in analytical methods and best practices to maintain a competitive edge.
• Encourage continuous learning and development within the data team to uphold excellence in analytics.

Qualifications:

• Education:
• Bachelor's degree in Computer Science, Statistics, Data Science, or a related field.
• Advanced degree preferred.
• Experience:
• Extensive experience in data analytics or business intelligence.
• Proven track record of leading high-performing analytics teams.
• Skills:
• Demonstrated success in implementing data strategies and building data-driven cultures.
• Strong expertise in statistical analysis, data modeling, and data visualization.
• Proficiency with analytics tools such as SQL, Python, R, Tableau, Power BI.
• Excellent leadership, communication, and presentation skills.
• Ability to translate complex data into clear, actionable business recommendations.
• Solid understanding of data governance, data quality, and data protection practices.

WHO WE ARE

Sapaad is a global leader in all-in-one unified commerce platforms, dedicated to delivering world-class software solutions. Its flagship product, Sapaad, has seen tremendous success in the last decade, with thousands of customers worldwide, and many more signing on.

Driven by a team of passionate developers and designers, Sapaad is constantly innovating, introducing cutting-edge features that reshape the industry. Headquartered in Singapore, with offices across five countries, Sapaad is backed by technology veterans with deep expertise in web, mobility, and e commerce, making it a key player in the tech landscape.

THE OPPORTUNITY

We are seeking a detail-oriented QA Engineer with expertise in Business Intelligence tools and data analysis to ensure the quality and accuracy of our dashboard solutions. The successful candidate will be responsible for testing BI dashboards, validating data integrity, and ensuring analytical reports meet business requirements.

ROLES & RESPONSIBILITIES

Testing & Quality Assurance

• Design and execute comprehensive test plans for BI dashboards and analytical reports
• Perform functional, regression, and user acceptance testing on dashboard components
• Validate data accuracy, completeness, and consistency across multiple data sources
• Test dashboard performance, load times, and responsiveness across different devices and browsers
• Document and track defects using bug tracking systems and collaborate with development teams for resolution

Data Analysis & Validation

• Conduct thorough data validation to ensure accuracy of metrics, KPIs, and calculations
• Compare dashboard outputs against source systems and business requirements
• Analyze data trends and patterns to identify potential anomalies or data quality issues
• Verify data transformations, aggregations, and filtering logic within dashboards
• Perform end-to-end data lineage testing from source to presentation layer

End-to-End BI Solution Verification

• Ensure proper functionality of interactive dashboard features including filters, drill-downs, and parameter controls
• Validate data refresh schedules and automated report generation processes
• Test dashboard security settings and user access permissions

REQUIRED QUALIFICATIONS

• Proficiency in at least one major BI tool (Tableau, Power BI, QlikView, Looker, or similar)
• Basic Database concepts and SQL skills.
• Experience with data analysis and statistical concepts
• Basic knowledge of ETL processes and data warehousing concepts
• Familiarity with testing frameworks and methodologies
• Strong analytical and problem-solving abilities
• Experience with data profiling and data quality assessment
• Understanding of business metrics, KPIs, and dashboard design principles
• Ability to interpret complex data relationships and business logic
• Excellent attention to detail and accuracy
• Strong communication skills for collaborating with business stakeholders and technical teams
• Ability to create clear test documentation and defect reports
• Project management skills and ability to work with multiple priorities

Location: Gurgaon

Experience: 4-8 Years

Work Mode: Hybrid / Remote

Start Date: Immediate Joiner Preferred

Role Overview :

We are looking for an Analytics Data Engineer with strong hands-on experience in Looker and proven ability to extract meaningful insights from product and behavioral data. The ideal candidate will also bring solid experience in Analytics Engineering tools like DBT, Snowflake, Airflow, and Fivetran (or similar) to build scalable and reliable data pipelines.

This is a backfill for a critical role, and we are looking for someone who can hit the ground running and experiment with product data to uncover actionable insights for stakeholders.

Key Responsibilities:

• Build and maintain Looker dashboards and reports for business and product teams.
• Perform data modeling using LookML and manage Looker's semantic layer.
• Collaborate with stakeholders to understand analytics needs and translate them into scalable solutions.
• Design, build, and optimize data transformation workflows using DBT.
• Develop and maintain ETL/ELT pipelines using Fivetran or similar tools.
• Work with large datasets in Snowflake, ensuring performance and data integrity.
• Conduct deep-dive analysis on product usage data to drive experimentation and decision-making.
• Ensure best practices in code versioning, documentation, testing, and deployment.

Required Skills & Qualifications:

• 4-8 years of experience in Business Intelligence and Data Engineering roles.
• Strong hands-on experience with Looker (LookML, Dashboarding, Embedded Analytics).
• Solid understanding of data modeling and transformation using DBT.
• Proficiency in Snowflake (or similar cloud data warehouses like Redshift or BigQuery).
• Experience with Fivetran or other ELT tools.
• Strong SQL skills and understanding of modern data stack architecture.
• Ability to work independently in a fast-paced, product-focused environment.

Job Title: Data Analytics and Business Intelligence Engineer (Databricks Specialist)

Location: Remote

Timings : 6.30PM IST -3.30 AM IST

Job Type: Full-Time

Job Summary:

We are seeking a highly skilled and analytical Data Analytics and Business Intelligence (BI) Engineer with strong experience in Databricks to join our data team. The ideal candidate will be responsible for designing, developing, and maintaining scalable data pipelines, dashboards, and analytics solutions that drive business insights and decision-making.

Key Responsibilities:

• Design and implement robust data pipelines using Databricks, Apache Spark, and Delta Lake.
• Develop and maintain ETL/ELT workflows to ingest, transform, and store large volumes of structured and unstructured data.
• Build and optimize data models and data marts to support self-service BI and advanced analytics.
• Create interactive dashboards and reports using tools like Power BI, Tableau, or Looker.
• Collaborate with data scientists, analysts, and business stakeholders to understand data needs and deliver actionable insights.
• Ensure data quality, integrity, and governance across all analytics solutions.
• Monitor and improve the performance of data pipelines and BI tools.
• Stay current with emerging technologies and best practices in data engineering and analytics.

Required Qualifications:

• Bachelor's or Master's degree in Computer Science, Data Science, Engineering, or a related field.
• 5+ years of experience in data engineering, analytics, or BI development.
• Strong proficiency in Databricks, Apache Spark, and SQL.
• Experience with cloud platforms such as Azure, AWS, or GCP.
• Proficiency in Python or Scala for data processing.
• Hands-on experience with data visualization tools (Power BI, Tableau, etc.).
• Solid understanding of data warehousing concepts, dimensional modeling, and data lakes.
• Familiarity with CI/CD pipelines, version control (Git), and Agile methodologies.

Preferred Qualifications:

• Databricks certification (e.g., Databricks Certified Data Engineer Associate/Professional).
• Experience with MLflow, Delta Live Tables, or Unity Catalog.
• Knowledge of data governance, security, and compliance standards.
• Strong communication and stakeholder management skills.

Job Title: Data Analyst Trainer

Experience Required: 4 - 10 Years

Location: Hyderabad

Job Type: Full-time

We are seeking an experienced and passionate Data Analytics Trainer to deliver high-quality training programs to aspiring data analysts or corporate teams. The ideal candidate will bring a strong background in data analysis and visualization tools, combined with the ability to effectively communicate complex concepts in a clear and engaging manner.

Key Responsibilities:

Create structured course content, training materials, assessments, and projects for data analytics modules.

Train learners on Python, R, SQL (MySQL/PostgreSQL), Excel/Advanced Excel, Tableau, Power BI, Matplotlib / Seaborn / Plotly, MySQL, PostgreSQL, SQL Server, Big Data & Cloud Platforms & Business Intelligence Concepts

Teach statistical concepts, data cleaning, EDA (Exploratory Data Analysis), data visualization, and dashboard creation.

Integrate real-world case studies and hands-on exercises into the training content.

Required Qualifications:

• Bachelor's or Master's degree in Data Science, Computer Science, Statistics, or related field.
• 4-10 years of hands-on experience as a Data Analyst or related role.
• Proven experience in delivering training or mentoring professionals.

Technical Skills:

• Proficient in Excel, SQL, Python or R.
• Hands-on experience with BI tools (Power BI, Tableau).
• Strong grasp of data visualization, data cleaning, and statistical analysis.
• Familiarity with data storytelling and data-driven decision making.
• Exposure to machine learning or ETL processes is a plus.

Soft Skills:

• Excellent communication and presentation skills.
• Ability to simplify technical topics for varied learner levels.
• Strong organizational and time management abilities.
• Enthusiasm for teaching and continuous learning.

How to Apply:

Please submit your resume and a short cover letter highlighting your relevant experience and passion for training to or call us at 1

Job Summary:

Dr. Reddy's Laboratories seeks a strategic yet hands-on Analytics and AI Product Manager to lead advanced data science and Generative AI initiatives. This role demands expertise in AI/ML, product management, and delivering business impact through data-driven solutions in the pharmaceutical domain.

Roles and Responsibilities:

• Define and execute the product strategy for AI/ML and Generative AI solutions to address business-critical challenges.
• Lead end-to-end data science projects - problem definition, model development, deployment, and monitoring.
• Collaborate with business, technology, and domain experts to ensure alignment and impact.
• Design and implement advanced analytics, including NLP and LLMs, to extract insights and automate decision-making.
• Engage with external partners and vendors to expand AI capabilities and leverage cutting-edge technologies.

Qualifications:

Educational qualification: A Bachelor's degree in Computer Science or Engineering; MBA preferred

Work experience: 8 to 15 years of experience

Skills Required:

• Strong experience in Python, SQL, ML frameworks and Generative AI (LLMs, diffusion models).
• Expertise in product management, including product lifecycle and stakeholder management.
• Proven ability to deliver scalable AI solutions on cloud platforms (Azure, Google).
• Deep knowledge of data engineering, data pipelines, and model deployment.
• Strong AI/ML experience with business acumen.

Additional information:

About the Department Digital Process and Excellence (DPEx)

Our digital transformation journey is led by the DPEx team and is structured along the lines of Digitalize the Core and Transform with Digital.

With a mandate to ensure continuous process improvement and drive patient centric innovation, it spans all functions and operations. In other words, you could be working on projects to expedite research outcomes one day, designing customer engagement platforms the next and simplifying warehouse processes the third.

Some its priorities are:

• Reimagine Dr. Reddy's as a 'platform-based' organization.

• Create Data as an asset that brings competitive advantage and business impact.

• Create Digital solutions that make the lives of our patients and customers easier and better.

About the Company:

Air travel is one of the high growth industries in India and BLR airport is one of its fastest growing airports. Opened in 2008, BLR airport was the first PPP greenfield airport developed in India and is currently ranked all India No 3 in terms of passenger traffic ( 40 million passengers per year). Bangalore International Airport Limited, or BIAL, is the parent company that operates the Kempegowda International Airport in Bengaluru, Karnataka.

The company is driven by innovation, eco-consciousness, and a vision to create an 'airport city' with modern amenities and services, making it much more than just a travel hub. For more information visit

About the Department:

The 'Commercial' business vertical takes care of all the non-aero monetization of the airport. It involves development and management of services like Retail, Food and Beverages (restaurants), Duty Free, Quad (entertainment zone) Lounges, Transit Hotels, Personalized Services (Care by BLR) and Landside services (Cabs and Parking) The 'Commercial - Digital' department takes care of all the digital interventions required to support the commercial department's money-making activities. Major digital initiatives are 1) EPOS - Integrated store / service billing software 2) BLR Pay - unified Payment Gateway services for all concessionaires, 3) BLR Pulse Rewards - Coalition rewards program across all offerings within BLR airport and 4) Pulse by BLR - Ecommerce marketplace offering all airport related services through web and app.

About the Opportunity:

Pulse by BLR is much more than an airport information website. Its an ecommerce super app. It offers passengers a bouquet of ordering services like flights, cabs, food delivery, lounge, transit hotel, duty free and a host of innovative marketing features. Pulse by BLR, BLR Pulse Rewards program and CDP, together form main axis which digitally transforms the airport customer experience.

Job Title:

Digital Analytics Specialist - CDP, Marketing Automation, & Business Analytics

Designation: Deputy Manager / Manager

Job Summary:

The Digital Analytics Specialist is responsible for leveraging data and analytics to drive actionable insights, improve marketing efficiency, and support strategic decision-making. The role focuses on managing Customer Data Platforms (CDP), optimizing marketing automation, and delivering business-critical analytics across the product lifecycle. Success requires a combination of execution excellence, cross-functional collaboration, and the ability to navigate a dynamic VUCA (Volatile, Uncertain, Complex, and Ambiguous) work environment. Over time, the aspirant shall also champion various initiatives within the organization and drive data maturity and adoption and encourage a consistent data led thinking.

Key Responsibilities:

1. Customer Data Platform (CDP) Management

• Oversee the implementation, configuration, and maintenance of CDPs to centralize customer data.
• Integrate CDP with other systems, such as multiple data sources, CRM, marketing automation tools, and multiple analytics platforms.
• Ensure data accuracy, consistency, and compliance with privacy regulations (e.g., GDPR, CCPA).
• Manage customer segmentation to enable personalized marketing and customer experience strategies.

2. Marketing Automation

• Design, implement, and optimize marketing automation workflows.
• Develop audience segmentation strategies for personalized campaigns.
• Monitor campaign performance and provide insights for continuous improvement.
• Collaborate with marketing teams to create data-driven customer engagement strategies.

3. Digital Business Analytics

• Analyse digital performance metrics across websites, apps, and campaigns.
• Build and maintain dashboards to track business-critical KPIs.
• Collaborate with CXOs and HoDs to define and execute analytics use cases.
• Deliver predictive insights across the full product lifecycle to enhance business outcomes.

Key Competencies:

• Execution Excellence: Detail oriented, ability to deliver high-quality, actionable insights and solutions on time.
• Collaboration: Proven track record of working with cross-functional teams and multiple vendors to drive business outcomes.
• Experience collaborating with cross functional department heads / multiple product owners for different projects
• Adaptability: Thrives in a VUCA environment, effectively managing complexity and ambiguity and people dynamics
• Analytical Thinking: Strong problem-solving skills with a data-driven mindset.
• Influence & Leadership: Ability to align diverse stakeholders around analytics-driven decision-making.

Work Environment:

• 100% work from Office. Office is at BLR airport.
• Dynamic environment offering opportunities for growth and innovation.
• Many of the solutions being developed are airport firsts and are not established tech solutions even in larger and more advanced airports across the world.
• Diverse team members with rich domain expertise and industry thought leadership.

Desired Candidate (Recruiter Brief):

• 6+ years experience in digital analytics, with relevant experience managing 1) CDPs, 2) marketing automation, and 3) business analytics for digital products. Should have first hand implementation experience in handling at least 2 out of 3 areas mentioned above with proven ROI for business.
• Proven expertise in handling analytics across the full product lifecycle, from digital product development to post-launch optimization.
• Proficiency in analytics platforms (e.g., Google Analytics, Adobe Analytics), data visualization tools (e.g., Tableau, Power BI), and programming languages (e.g., Python, SQL).
• Experience integrating CDPs and automation tools with marketing and business systems. Should have handled minimum 2 cycles of end to end implementation.
• Good experience of digital platform analytics is required to plan and suggest what forward-looking enablement's should be considered for further customer acquisition and retention
• Potential candidates - Client success managers working with CRM companies, or marketing Automation companies. Should not be job hopper and have steady employment with min 1.5 to 2 years experience per organization.

Primary Responsibilities

The ideal candidate will work with multiple small agile teams to deliver solutions in data and analytics technologies.

• Serve as Scrum Master for Agile teams delivering data and analytics solutions for a large manufacturing company.
• Work closely with Product Owners to align on business priorities, maintain a clear and actionable backlog, and ensure stakeholder needs are met.
• Facilitate core Agile ceremonies: Sprint Planning, Daily Standups, Backlog Refinement, Reviews, and Retrospectives.
• Guide the team through data-focused sprints, including work on ingestion, transformation, integration, and reporting.
• Track progress, remove blockers, and drive continuous improvement in team performance and delivery.
• Collaborate with data engineers, analysts, architects, and business teams to ensure high-quality, end-to-end solutions.
• Promote Agile best practices across platforms like SAP ECC, IBP, HANA, BOBJ, Databricks, and Tableau.
• Monitor and share Agile metrics (e.g., velocity, burn-down) to keep teams and stakeholders aligned.
• Support team capacity planning, identify bottlenecks early, and help the team stay focused and accountable.
• Foster a culture of collaboration, adaptability, and frequent customer feedback to ensure business value is delivered in every sprint.
• Orient the team to focus on the objects that are to be built more so than the tasks required to build them. The point is to build things, not complete tasks.
• Guide the team to continuously break down efforts to smaller components. Smaller workpieces result in better flow. Having 8 stories of day each is better than having 1 story of 4 days.
• Guide the team to always provide clarity on the stories by using detailed descriptions and explicit acceptance criteria.
• Bring the team's focus in the daily standup meetings to completing things instead of working on things.

You Must Have:

• 3-5 years of experience as Scrum Master with focus on SAP, HANA, Data & Analytics
• Solid understanding of standard scrum practices and "ceremonies".
• Solid understanding of the core principles of being agile - that being truly agile is about more than walking through the "ceremonies"
• Ability to grasp the nuances of the team's dynamics and nudge the team to better interactions
• Excellent organizational, interpersonal, time-management, analytical and critical thinking skills
• Ability to track team velocity and help the team set sprint goals that are both ambitious and doable.
• Excellent written and verbal communication skills, including clear articulation of business impact and technical constraints tailored to the audience.
• Flexibility to work occasional hours outside normal business, according to business needs.
• Ability to work with people across the globe.

We Value

• Ability to create a positive atmosphere and a motivated team with a "will do" attitude.
• Experience with data and analytics, particularly using SAP data.
• Ability to operate and perform in a fast-paced environment guiding more than one agile team at a time.
• Experience in Agile-Scrum methodology, certification will be ideal.
• Comfortable dealing with ambiguity.

Education

• Bachelor's degree or equivalent, preferably in Business or Information Management

Competencies

Values: Integrity, Accountability, Teamwork, Innovation, Agile practices, Lean thinking/processing

Job Title: ServiceNow Developer - Integrations, Portal, Custom Applications & Performance Analytics

Location: Bangalore

Experience Required: 5 to 8 years

Employment Type: Full-Time

Work Mode: Hybrid

Technical Skills Required:

• Strong experience in JavaScript, Glide API, and ServiceNow scripting.

• Knowledge of ITSM, CMDB, and related ITIL modules is a plus.

• Hands-on experience with Flow Designer, IntegrationHub, and Spokes.

• Familiarity with Atlassian tools (JIRA, Confluence) is a plus.

• Experience with version control systems (Git) and Agile methodologies.

SAS Visual Analytics

Are you looking for a new career challenge? With LTIMindtree, are you ready to embark on a data-driven career? Working for global leading manufacturing client for providing an engaging product experience through best-in-class PIM implementation and building rich, relevant, and trusted product information across channels and digital touchpoints so their end customers can make an informed purchase decision - will surely be a fulfilling experience.

Location: Bengaluru

E-mail:

Experience with the SAS Visual Analytics VA on Platform and SAS Viya on VA

• Design and develop technical solutions to predefined requirements and develop components including Dashboards and Reports
• Development of reports Visualizations and explorations aligning with best practices to deploy reports with optimal performance
• Handson Experience in various SAS concepts like Base SAS SASMacro SASSQL CAS procedures other SAS data manipulation and SAS Viya report dashboard automation procedures
• Capable in Data Management Analytics methodologies Business Requirements Gathering Data Model design and preparing High Level project documentation and experienced in creating High level Low level design documentation

Why join us?

• Work in industry leading implementations for Tier-1 clients
• Accelerated career growth and global exposure
• Collaborative, inclusive work environment rooted in innovation
• Exposure to best-in-class automation framework
• Innovation first culture: We embrace automation, AI insights and clean data

Know someone who fits this perfectly? Tag them - let's connect the right talent with right opportunity

DM or email to know more

Let's build something great together

At Airtel, we are reimagining how over 400 million customers across India connect, transact, and engage-whether they are large enterprises, small businesses, or everyday consumers. With 2 trillion data events processed daily and over 100 petabytes of data infrastructure, we are evolving to building AI-native capabilities that deliver intelligence at scale.

As the digital and data landscape evolves rapidly, we are looking for a Principal Data Analyst who will help lead this mission. This is a high-impact leadership role focused on defining strategy, shaping business decisions with AI-first analytics, and influencing executive direction across both Consumer and B2B verticals.

About the Role

You will lead the definition, development, and delivery of AI-powered analytics solutions across critical business domains-ranging from digital customer journeys and revenue growth to network performance, sales operations, collections, and customer experience. You will drive impact by breaking down complex, ambiguous business problems and turning them into structured, data-driven strategies. You'll work across highly matrixed functions and with senior leaders to embed AI into the fabric of decision-making at Airtel.

This role requires a strong blend of technical depth, business understanding, stakeholder influence, and leadership maturity.

Key Responsibilities

Shape Analytics and AI Strategy

• Define the vision and roadmap for AI-driven analytics across Airtel's Consumer and B2B businesses.
• Design frameworks to measure product, sales, marketing, finance, and customer experience performance.
• Champion the use of predictive analytics, Generative AI, and large language models to automate and personalize insight delivery.

Influence Senior Leadership and Drive Clarity

• Engage directly with Airtel's executive and CXO leadership to present analytics insights and influence decisions.
• Translate complex AI and machine learning outputs into clear, compelling business narratives.
• Proactively bring structure and clarity to high-stakes, ambiguous problem spaces through data.

Build and Scale Analytics Execution

• Partner with data engineering teams to build scalable solutions and data pipelines.
• Drive experimentation with predictive modeling, anomaly detection, forecasting, and Generative AI.
• Ensure analytics readiness from the start of every product, marketing, or operations initiative.

Lead Cross-Functional Collaboration in a Matrixed Organization

• Work across product, sales, network, finance, and customer experience teams to prioritize and execute data initiatives.
• Bring diverse teams together to align on metrics, methodologies, and insights.
• Evangelize a culture of decision-making rooted in data and AI.

Mentor, Grow, and Uplift Analytics Talent

• Lead, coach, and inspire a team of high-performing analysts.
• Build capabilities in emerging areas like LLM-driven analytics, automated reporting, and responsible AI.
• Foster a high-accountability culture with strong analytical rigor and storytelling excellence.

Qualifications

Experience

• 10+ years of experience in analytics, with at least 4 years in a leadership role managing teams.
• Demonstrated success in scaling analytics in complex, fast-paced organizations.

Business Acumen

• Deep understanding of both B2B and Consumer business models, including sales, product, digital channels, and customer lifecycle metrics.
• Familiarity with telecom KPIs like ARPU, churn, usage segmentation, NPS, collections, and network performance.

AI & Technical Skills

• Hands-on proficiency in Python, PySpark, Scikit-learn, TensorFlow, or similar tools.
• Experience with machine learning use cases like forecasting, churn prediction, personalization, and anomaly detection.
• Exposure to cloud-native analytics platforms (e.g., Google Cloud, AWS, Azure ML) and LLMs such as GPT, Claude, Gemini.
• Strong working knowledge of data visualization tools like Tableau, Power BI, or Looker.

Leadership & Communication

• Proven ability to work across matrixed teams and influence senior stakeholders through data.
• Strong problem-solving and communication skills-able to drive clarity from chaos.
• Experience mentoring talent, setting analytical standards, and building team culture.

Why Airtel

• Opportunity to define how AI and data shape the future of one of India's largest digital ecosystems.
• High-impact role engaging directly with senior leadership and influencing cross-company strategy.
• Work on meaningful, large-scale problems that span both consumer and enterprise ecosystems.
• Be part of a fast-moving, outcome-driven, and highly collaborative team.

At Airtel, we are reimagining how over 400 million customers across India connect, transact, and engage-whether they are large enterprises, small businesses, or everyday consumers. With 2 trillion data events processed daily and over 100 petabytes of data infrastructure, we are evolving to building AI-native capabilities that deliver intelligence at scale.

As the digital and data landscape evolves rapidly, we are looking for a Principal Data Analyst who will help lead this mission. This is a high-impact leadership role focused on defining strategy, shaping business decisions with AI-first analytics, and influencing executive direction across both Consumer and B2B verticals.

About the Role

You will lead the definition, development, and delivery of AI-powered analytics solutions across critical business domains-ranging from digital customer journeys and revenue growth to network performance, sales operations, collections, and customer experience. You will drive impact by breaking down complex, ambiguous business problems and turning them into structured, data-driven strategies. You'll work across highly matrixed functions and with senior leaders to embed AI into the fabric of decision-making at Airtel.

This role requires a strong blend of technical depth, business understanding, stakeholder influence, and leadership maturity.

Key Responsibilities

Shape Analytics and AI Strategy

• Define the vision and roadmap for AI-driven analytics across Airtel's Consumer and B2B businesses.
• Design frameworks to measure product, sales, marketing, finance, and customer experience performance.
• Champion the use of predictive analytics, Generative AI, and large language models to automate and personalize insight delivery.

Influence Senior Leadership and Drive Clarity

• Engage directly with Airtel's executive and CXO leadership to present analytics insights and influence decisions.
• Translate complex AI and machine learning outputs into clear, compelling business narratives.
• Proactively bring structure and clarity to high-stakes, ambiguous problem spaces through data.

Build and Scale Analytics Execution

• Partner with data engineering teams to build scalable solutions and data pipelines.
• Drive experimentation with predictive modeling, anomaly detection, forecasting, and Generative AI.
• Ensure analytics readiness from the start of every product, marketing, or operations initiative.

Lead Cross-Functional Collaboration in a Matrixed Organization

• Work across product, sales, network, finance, and customer experience teams to prioritize and execute data initiatives.
• Bring diverse teams together to align on metrics, methodologies, and insights.
• Evangelize a culture of decision-making rooted in data and AI.

Mentor, Grow, and Uplift Analytics Talent

• Lead, coach, and inspire a team of high-performing analysts.
• Build capabilities in emerging areas like LLM-driven analytics, automated reporting, and responsible AI.
• Foster a high-accountability culture with strong analytical rigor and storytelling excellence.

Qualifications

Experience

• 10+ years of experience in analytics, with at least 4 years in a leadership role managing teams.
• Demonstrated success in scaling analytics in complex, fast-paced organizations.

Business Acumen

• Deep understanding of both B2B and Consumer business models, including sales, product, digital channels, and customer lifecycle metrics.
• Familiarity with telecom KPIs like ARPU, churn, usage segmentation, NPS, collections, and network performance.

AI & Technical Skills

• Hands-on proficiency in Python, PySpark, Scikit-learn, TensorFlow, or similar tools.
• Experience with machine learning use cases like forecasting, churn prediction, personalization, and anomaly detection.
• Exposure to cloud-native analytics platforms (e.g., Google Cloud, AWS, Azure ML) and LLMs such as GPT, Claude, Gemini.
• Strong working knowledge of data visualization tools like Tableau, Power BI, or Looker.

Leadership & Communication

• Proven ability to work across matrixed teams and influence senior stakeholders through data.
• Strong problem-solving and communication skills-able to drive clarity from chaos.
• Experience mentoring talent, setting analytical standards, and building team culture.

Why Airtel

• Opportunity to define how AI and data shape the future of one of India's largest digital ecosystems.
• High-impact role engaging directly with senior leadership and influencing cross-company strategy.
• Work on meaningful, large-scale problems that span both consumer and enterprise ecosystems.
• Be part of a fast-moving, outcome-driven, and highly collaborative team.

Only immediate joiner(Within 7-12 days)

3+ Years

Electronic City, Bangalore (Onsite)

We are seeking an experienced and passionate Math and Data Analytics Instructor to join our growing team of industry experts-turned-educators. The ideal candidate brings practical industry knowledge in data analytics, statistical reasoning, and mathematical foundations essential to computer science and machine learning.

Key Responsibilities

• Deliver engaging, hands-on sessions in Mathematics and Data Analytics tailored to computer science applications.
• Teach core concepts such as:
• Linear Algebra, Probability, and Statistics
• Exploratory Data Analysis (EDA)
• Hypothesis Testing, Regression, and Inference
• Basic Data Science workflows and visualization techniques
• Develop high-quality course content, assignments, and projects that reflect real-world use cases.
• Mentor students on academic progress, projects, and career readiness.
• Collaborate with other instructors and the curriculum team to continuously improve learning outcomes.
• Stay updated with the latest industry trends and ensure content remains relevant.

Ideal Candidate Profile

• Industry Experience: 2-8 years of hands-on experience in roles such as Data Analyst, Data Scientist, Quantitative Analyst, or ML Engineer with strong mathematical foundations.
• Education: Bachelor's or Master's degree in Mathematics, Statistics, Computer Science, Engineering, or related fields.
• Teaching Aptitude: Passion for education, prior teaching/mentoring experience preferred but not mandatory.
• Communication: Strong verbal and written communication skills with the ability to simplify complex topics.

About Us: OpZen is an innovative early-stage startup founded by a team of visionary entrepreneurs with a stellar track record of building successful ventures such as Mitchell Madison, Opera Solutions, and Zenon. Our mission is to revolutionize the finance industry through the creation of groundbreaking AI-driven products and the provision of elite consulting services. We are committed to harnessing the power of advanced technology to deliver transformative solutions that drive unparalleled efficiency, foster innovation, and spur growth for our clients. Join us on our exciting journey to redefine the future of finance and leave an indelible mark on the industry.

Role: Lead/Manager

Overview: Overview: We are seeking a visionary and dynamic individual to lead our AI initiatives and data-driven strategies. This role is crucial in shaping the future of our company by leveraging advanced technologies to drive innovation and growth. The ideal candidate will possess a deep understanding of AI, machine learning, and data analytics, along with a proven track record in leadership and strategic execution.

Key Responsibilities:

Self-Driven Initiative: Take ownership of projects and drive them to successful completion with minimal supervision, demonstrating a proactive and entrepreneurial mindset.

Stakeholder Communication: Present insights, findings, and strategic recommendations to senior management and key stakeholders, fostering a data-driven decision-making culture.

Executive Collaboration: Report directly to the founders and collaborate with other senior leaders to shape the company's direction and achieve our ambitious goals.

Innovation & Problem-Solving: Foster a culture of innovative thinking and creative problem-solving to tackle complex challenges and drive continuous improvement.

AI Research & Development: Oversee AI research and development initiatives, ensuring the integration of cutting-edge technologies and methodologies.

Data Management: Ensure effective data collection, management, and analysis to support AI-driven decision-making and product development.

Required Skills and Qualifications:

Bachelor's degree from a Tier 1 institution or an MBA from a recognized institution.

Proven experience in a managerial role, preferably in a startup environment.

Strong leadership and team management skills.

Excellent strategic thinking and problem-solving abilities.

Exceptional communication and interpersonal skills.

Ability to thrive in a fast-paced, dynamic environment.

Entrepreneurial mindset with a passion for innovation and growth.

Extensive experience with AI technologies, machine learning, and data analytics.

Proficiency in programming languages such as Python, R, or similar.

Familiarity with data visualization tools like Tableau, Power BI, or similar.

Strong understanding of data governance, privacy, and security best practices.

Technical Skills:

Machine Learning Frameworks: Expertise in frameworks such as TensorFlow, PyTorch, or Scikit-learn.

Data Processing: Proficiency in using tools like Apache Kafka, Apache Flink, or Apache Beam for real-time data processing.

Database Management: Experience with SQL and NoSQL databases, including MySQL, PostgreSQL, MongoDB, or Cassandra.

Big Data Technologies: Hands-on experience with Hadoop, Spark, Hive, or similar big data technologies.

Cloud Computing: Strong knowledge of cloud services and infrastructure, including AWS (S3, EC2, SageMaker), Google Cloud (BigQuery, Dataflow), or Azure (Data Lake, Machine Learning).

DevOps and MLOps: Familiarity with CI/CD pipelines, containerization (Docker, Kubernetes), and orchestration tools for deploying and managing machine learning models.

Data Visualization: Advanced skills in data visualization tools such as Tableau, Power BI, or D3.js to create insightful and interactive dashboards.

Natural Language Processing (NLP): Experience with NLP techniques and tools like NLTK, SpaCy, or BERT for text analysis and processing.

Large Language Models (LLMs): Proficiency in working with LLMs such as GPT-3, GPT-4, or similar for natural language understanding and generation tasks.

Computer Vision: Knowledge of computer vision technologies and libraries such as OpenCV, YOLO, or TensorFlow Object Detection API.

Preferred Experience:

Proven Track Record: Demonstrated success in scaling businesses or leading teams through significant growth phases, showcasing your ability to drive impactful results.

AI Expertise: Deep familiarity with the latest AI tools and technologies, including Generative AI applications, with a passion for staying at the forefront of technological advancements.

Startup Savvy: Hands-on experience in early-stage startups, with a proven ability to navigate the unique challenges and seize the opportunities that come with building a company from the ground up.

Finance Industry Insight: Extensive experience in the finance industry, with a comprehensive understanding of its dynamics, challenges, and opportunities, enabling you to drive innovation and deliver exceptional value to clients.

Why Join Us:

Opportunity to work closely with experienced founders and learn from their entrepreneurial journey.

Make a significant impact on a growing company and shape its future.

Collaborative and innovative work environment.

Lucrative compensation package including competitive salary and equity options.

Experience: 15+ years of progressive experience in program or project management within the capital markets and financial services sectors. Demonstrated expertise in SQL Server, Snowflake, Power BI, ETL processes, and Azure Cloud Data Platforms. Hands-on experience with big data technologies and modern data architecture. Proven track record in delivering projects emphasizing data quality, integrity, and accuracy. Deep understanding of private markets, including areas such as private equity, private credit, CLOs, compliance, and regulations governing alternative investments.

Responsibilities:

We are seeking a self-driven Project Manager to join our dynamic team of data scientists and software engineers. In this role, you will be responsible for overseeing the execution of data-driven projects that leverage advanced analytics, business intelligence, and reporting solutions to support key business objectives. You will work closely with stakeholders, project teams, and senior leadership to ensure that projects are delivered on time, within scope, and meet the desired business outcomes.

Key responsibilities include:

Project Management:

Lead the planning, execution, and delivery of analytics projects, ensuring the efficient allocation of resources, adherence to timelines, and alignment with business priorities.

Stakeholder Collaboration:

Engage with business leaders and cross-functional teams to define project requirements, goals, and KPIs, translating them into clear and actionable analytics solutions.

Data Strategy:

Collaborate with data scientists, data engineers, and analysts to develop data models, dashboards, and reports that provide actionable insights and drive business decisions.

Reporting & Communication:

Provide regular updates on project status, risks, and key deliverables to stakeholders and senior management, ensuring alignment with strategic objectives.

DevOps Methodologies:

Implement and manage DevOps frameworks to support iterative project development, ensuring continuous delivery and improvement of analytics solutions.

Quality Assurance:

Ensure that analytics deliverables meet high standards of quality, accuracy, and usability by conducting thorough reviews and validations.

Qualifications:

Basic Qualifications:

Master's degree in a related field (Computer Sciences, Engineering, Data Analytics, Business Administration, Information Technology)

Experience: 10-15 years of experience in project management, with a focus on analytics or data-related projects.

Strong communication skills, with the ability to effectively engage stakeholders at all levels of the organization.

Ability to manage multiple projects concurrently while maintaining focus on quality and timelines.

Excellent problem-solving and debugging skills.

A team player with strong communication skills and a drive for results.

Preferred Qualifications:

Experience working with US Life science and/or Healthcare customers

Knowledge of cloud technologies and data architecture is beneficial.

Familiarity with machine learning or advanced statistical techniques.

Description:

BMS Hyderabad is an integrated global hub where our work is focused on helping patients prevail over serious diseases by building sustainable and innovative solutions. This important science, technology, and innovation center will support a range of technology and drug development activities that will help us usher in the next wave of innovation.

The Manager, GPS Product Development & Analytics Source to Contract is part of a global team which collaborates with GPS category leaders and business partners on procurement execution in support of category strategy development, contributing advanced strategic industry insight.

The Manager, GPS Product Development & Analytics Source to Contract will build an understanding of BMS's global, end-to-end value chain as it relates to the categories in focus. Key responsibilities include owning and driving implementation of high value and highly complex sourcing projects and contracts; and identifying supply optimization opportunities for speed-to-market, innovation, revenue enhancement, mitigated risk/improved lifecycle management, overall competitive cost advantage, and other sources of value for Bristol-Myers Squibb. This position has a strong emphasis on contracting.

Key Responsibilities:

Manage end-to-end development and implementation of Sourcing and Contracting Strategy:

• Ability to manage a large book of work across multiple individuals, teams, geographies. Must be able to bring organization and transparency to a fast-paced environment.
• Lead short and long-term initiatives that deliver positive impacts on the organization, including training and development programs.
• Oversee project management for complex projects -Source to Contract including: sourcing events from end-to-end (RFI/RFP), FMV assessment and contract negotiations. Position has a heavy focus on contracting.
• This individual may also be involved in identification, screening and selection of potential sources and determination of appropriate methods of procurement, utilizing extensive and deep contracting or technical expertise (e.g. Product Development and Analytics)
• Lead the preparation and solicitation of competitive bids, quotations and proposals; evaluate competitive offerings; assess supplier product and pricing information; conduct negotiations and communicate decisions externally.
• Prepare, issue and negotiate contracts for legal review and approval. Note, this specific role will require complex contracting globally in a highly regulated area, contracting will be a primary focus for the role.
• Partner closely with supporting functions (Cybersecurity / IT, Data Privacy, Quality, etc.) in addition to legal for contract negotiations
• Provide insights from internal and market analytics to influence the development of strategic category plans; partner with category leaders and business partners on plan development, including building plans for smaller categories. Builds understanding of BMS's global, end-to- end value chain as it relates to the categories in focus.
• Lead Book of Work review meetings with BP&S teams together potential projects, prioritize them and align on timelines, remove barriers to execution, escalations as needed.

Conduct Supplier Performance and Relationship Management for select categories and suppliers:

• Participate in certain supplier management activities involving key preferred suppliers, using the Supplier Management methodology, developing metrics for supplier performance
• Analyze contracts to generate insights for category leads and leadership, empowering Supplier Relationship management efforts with highly strategic suppliers
• For escalated issues with respect to quality, performance or supply, support BPS with the analytics required to solve root cause issues; collaborate with local procurement on solutions. Own and drive mitigation projects on a prioritized basis, as needed
• As required for function and categories assigned, support the design and development of procurement compliance programs, including category-specific risk management efforts
• Support implementing and managing the small business and disadvantaged suppliers search and development programs

Drive / support both procurement-wide and category specific continuous improvement initiatives:

• Champion process improvements, recommending new ways of working to improve processes and embed new systems in the function and across Sourcing Excellence
• Lead or participate in organizational cross-functional development such as process improvement, capabilities development efforts, continuous innovation programs
• Provide BMS support/oversight to suppliers of procurement and contracting-related services

Qualifications & Experience:

Minimum Requirements:

• B.S./B.A. (Business, Science or Engineering is desirable)
• Minimum of 5 years' work experience with at least 3 years procurement or relevant experience (preferably in Direct Materials or Manufacturing)
• Clear and demonstrated understanding of the supply chain & manufacturing process
• Strong contracting acumen with experience in negotiating complex contracts such as global Master Services Agreements
• Expertise in procurement processes, technology and systems (such as Ariba, Icertis ), contract and supplier analysis and management, financial analysis, market analysis, supplier diversity, strategic planning and integrated supply chain.
• Demonstrated ability to partner with and manage internal stakeholders up to some senior leaders within a highly matrixed organization, working across cross-functional, cross-organizational teams.
• Strong understanding of data analytics, category management, project and performance management
• Proficiency in English

• Position Title -Data Analytics Manager
• Location - Bengaluru-Corporate Office
• Total Experience of 4 to 10 Years
• Qualification - Bachelor's in data science & Statistics, Computer Science, or bachelor's in Engineering
• Direct Reporting - Nil (Individual Contributor)
• Industry- FMCD (Small Appliances, preferably)/FMCG/FMEG/Luggage /Building Material/ Retail

Key Responsibilities:-

Data Analysis and Reporting:

• Be the central point for all business and performance analytics
• Oversee the collection, processing, and interpretation of large datasets
• Manage all MIS and reports for various functions and ensure timely delivery of reports to each function.
• Develop self-serve BI tools and automated reporting for functional leaders
• Identify trends, patterns, and insights to drive strategic decision-making
• Build and maintain executive dashboards to monitor business health and performance metrics.

Data Strategy Development:

• Develop and implement data analytics strategies to support business objectives.
• Partner with the Head of Strategy to define KPIs, track strategic projects, and measure business performance.
• Collaborate with other departments to understand their data needs and provide actionable insights.

Team Management:

• Led and mentored a team of data analysts and MIS experts
• Ensured projects were completed on time and within budget
• Foster a collaborative and innovative work environment

Tool and System Management:

• Implement and maintain data analytics tools and systems
• Ensure the efficient operation of data collection and analysis processes
• Troubleshoot and resolve any issues related to data systems
• Use statistical methods, predictive modeling, and data mining techniques to inform decision-making
• Provide ROI analysis on transformation and cost-saving initiatives

Stakeholder Communication:

• Act as the analytics point of contact for strategy-related initiatives
• Work with product, IT, supply chain, and marketing teams to gather data and align KPIs.
• Present insights and recommendations to senior leadership in a clear and compelling manner

Other Responsibilities:

• Delivery of data services to support marketing activities
• Program and develop Extract, Transform and Load programs to support integration
• Ensure data quality within the database - Data Loading and error handling
• User Acceptance Test to ensure Quality in deliverables
• Produce high standard of documentation on data flows and processes
• Coordinated data campaigns and analysis projects, including segmentation and modeling deliverables.
• Assess client and 3rd party data sources and new data capture opportunities to enhance existing data.
• Defined and set up reporting and analysis processes and deliverables that meet client objectives.

Key Performance Indicator:-

• Data Accuracy: Accuracy and reliability of data collected and analyzed
• Insight Utilization: Percentage of business decisions influenced by data insights
• Project Timeliness: Completion of data projects within the agreed timelines
• Team Performance: Productivity and development of the data analytics team
• Stakeholder Satisfaction: Feedback from stakeholders on the usefulness and clarity of data insights
• Familiarity with cloud data platforms (e.g., Azure, AWS, Google BigQuery)

Remarks:-

• Experience working with ERP & CRM systems such as SAP, Salesforce or similar Strong command of SQL, Excel, and at least one scripting language (Python, R, etc.)
• Proven experience building dashboards (Power BI, Tableau, QlikView, etc.) and working with large data sets.
• Knowledge of data management best practices and regulatory requirements.
• Knowledge of data management best practices and regulatory requirements.
• Good Communication & Influencing Skills.
• Looking for stable candidates only (Frequent job changes will be not considered).
• Local Candidates will be preferred

About Lowe's India

We are a team of 4500+ associates with expertise across Enterprise Architecture, Data Science & Analytics, Omni-channel Platforms, Financial planning & Analytics, Digital Commerce, Supply Chain, Merchandising, Marketing, and beyond. We optimize business processes and leverage new technologies & innovative methods to ensure that Lowe's has a competitive edge in the market and stays ahead in the ever-evolving retail landscape. To know more about Lowe's India, visit Lowes.co.in

About the Team

The Digital Commerce team at Lowe's India is an extension to the core Digital Commerce function at Lowes' Headquarters in Mooresville. The team in India focuses on multiple areas such as Digital Category Experience, Digital Commerce Support, Brand Advocates, Marketplace support, Dropship modernization, Customer Engagement, Category performance analytics, Site Operations, SEO and Omnichannel Product Content. This team partners closely with the team in the US to optimize and grow Lowe's Digital Commerce business.

Job Summary

The SEO team resides within the Site Strategy & Planning function and is responsible for improving organic search rankings, driving traffic to our website and building & executing the overall SEO strategy. They work closely with content development and marketing teams to optimize content on our website and ensure alignment with SEO best practices, industry trends, and business goals. The team also partners closely with Product and Tech teams to ensure that technical SEO hygiene is best in class. As an SEO & Analytics Manager, you will play a key role in evaluating, executing, and optimizing initiatives with a strong focus on data analysis, audience segmentation, and performance tracking using tools like Power BI, SQL, Python, and enterprise SEO platforms. The role requires deeper emphasis on analytics and visualization to help drive smarter business decisions and more impactful SEO outcomes.

Roles & Responsibilities:

Use tools like SQL, Power BI, and Python to extract, process, and analyze large datasets and build scalable

Drive data-led governance and optimization by analyzing audience behavior, traffic sources, landing page

Guide the team in transforming complex data into actionable recommendations across business units, ensuring

Oversee development of SEO dashboards and visualizations that enable timely, strategic decisions and

Collaborate with cross-functional teams (Tech, Content, Marketing, Product) to align SEO efforts with broader business objectives.

Maintain accountability for SEO strategy and execution, including content optimization, technical hygiene, and off-page strategies, while closely monitoring KPIs.

Regularly review landing pages, SEO tags, and site structure to identify opportunities for growth through a data-first lens.

Present insights, project updates, and performance summaries to internal stakeholders and leadership.

Years of Experience:

8+ years of overall work experience.

5+ years of relevant experience in an analytics-focused role in a Retail/E-commerce or agency environment & 3+ years of people management experience.

Experience in working with US-based companies or clients (preferred).

Education Qualification & Certifications (optional)

Graduate (in any discipline) - degree in Digital Marketing or a related field is a plus.

Master's degree in Digital Marketing or a related field is preferred.

Skill Set Required

Advanced proficiency in SQL and experience working with large datasets.

Practical experience with data visualization and BI tools, especially Power BI.

Working knowledge of Python for data manipulation and analysis.

Proficiency with web analytics and measurement tools such as Adobe Analytics or Google Analytics.

Familiarity with SEO platforms (Google Search Console, SEO Clarity, Botify, SEMrush).

Strong analytical mindset and ability to translate data into strategic action.

People management capabilities with experience coaching and leading analyst teams.

Experience with workflow/project management tools (Workfront, Jira, etc.).

Proven ability to manage multiple priorities and deliver high-impact projects across teams.

Role:

• Involved in Financial planning, budgeting, forecasting
• Maintain and set up master data elements critical to FP&A planning processes
• Strong business planning knowledge
• Familiarity with SAP BPC master data structures is Plus

• Lead the sustain assurance process for the PPM product estate - including project & squad management, scheduling, costing, communication, change management & governance
• Own and maintain the Sustain Playbook, keeping it up to date and relevant and ensuring ongoing alignment with the Change and Technology teams ways of working / playbooks.
• Drive the adoption of the Sustain Assurance Methodology mandated by the Sustain Assurance Playbook to ensure products continue to meet customer expectations, technology performance standards
• Driving quarterly readiness reviews including tracking conformance metric tracking, set up of product operating committee stand up and resourcing of sustain team
• Coach cross functional teams to establish key conformance metrics to support readiness to move into sustain
• Manage, guide and develop the Digital Product Sustain analyst - working closely with them to manage the execution of the Sustain Assurance activities
• Provide leadership in the FBT and PPM as a subject matter expert in the Sustain Assurance processes, encouraging best practice, monitoring quality of execution and highlighting risks and opportunities to drive value
• The incumbent will be an effective leader, providing oversight and guidance of a small cross-functional squad executing Sustain assurance activities, as well as leading from the front in executing key elements of the assurance process
• Strong understanding of product lifecycle management, including product development, project management and operational delivery methodologies (e.g. DevOps)
• Experience leading stakeholders (Product Owners, Chief Product Owners,VPs) of all levels through end to end quality assurance processes, dealing with areas of ambiguity in the Sustain activity and managing stakeholder escalation and resolution independently
• Comfortable defining and implementing an assurance reporting framework, providing end to end visibility of the assurance process for a complex global function (PPM)
• Understanding of change management principles and experience in applying them in a PPM and digital context
• Experience of project management delivery techniques including both Waterfall and Agile
• Track record in setting up and managing governance forums effectively with stakeholders of all levels
• Organized and detail-oriented to manage their own tasks in the required timelines.
• Finance background, with grounding knowledge of end-to-end financial processes, particularly Analytics and Digitization processes.
• Able to describe and discuss industry challenges in leading business and technical transformation; can demonstrate an understanding of organization change dynamics and how these impact cultural change.
• Experience of leading a multidisciplinary team including business & technical stakeholders (preferably in energy or technology sectors)
• Determined, resilient individual able to proactively solve issues and challenges to achieve delivery
• Strong team player with ability to effectively communicate and collaborate in a global multi-cultural environment
• Strong Interpersonal Skills - able to create opportunities for improvement and problem resolution, energizing and influencing others to accomplish goals & initiatives, is aware of internal business relationships within the organization.
• Collaborative Style - provide demonstrable evidence of thriving in a team environment & of building positive, productive relationships that foster teamwork and cooperation among people and groups.
• Clear and concise communicator - able to build awareness and support of the wider Finance and Business community
• Able to make the abstract and complex simple - understanding complex system, data and workflow requirements and translating into simple language to enable business decision making and prioritization.
• Experience with digital transformation projects and process improvement initiatives.
• This role will have significant impact working with:
• Finance teams: supporting set up of system support teams, with input from Finance stakeholders
• Technology: Partnering with business SME on execute delivery towards a product sustain state
• Stakeholder management and influencing at all levels
• Ability to drive and lead others through change, resolving conflict, building alignment and dealing with ambiguity
• Compelling communicator - simple and clear (verbal and written)
• Ability to move between 'big picture' vision and down to individual activities maintaining attention to detail
• Customer centric able to support customer through sustainment journey

Must have educational qualifications:

Business/Finance Degree level or equivalent

Preferred education/certifications:

• Degree level or equivalent in System Engineering, Computer Science, Information Technology
• Minimum years of relevant experience:
• 8+ years of experience in a similar business area or industry
• ACCA, CIMA or equivalent financial qualifications
• Lean Six Sigma qualification (or equivalent)
• Certified scrum master (CSM)

Preferred experience: Experience of:. working as a scrum master, project delivery lead

Job Description: Data Analyst - Bizapps Team , Bangalore location

Who are we?

Whatfix is a data-driven digital adoption platform (DAP) that enables organizations and users to maximize the benefits of software. Whatfix acts as an interactive overlay on top of any application to guide users with real-time guidance, self-help support, and user feedback. With product analytics and AI, Whatfix enables scalable success with technology, maximizing productivity, and leveraging data-driven insights for better decision-making. The company has seven offices globally in the US, India, UK, Germany, Singapore, and Australia, and works with Fortune 500 companies around the world. Whatfix has raised $140 million to date and is backed by marquee investors including Softbank, Sequoia, Dragoneer, and Cisco Investments.

"Hustle Mode ON" is the motto we live by.

• Whatfix has been named among the top 20 B2B tech companies like Adobe, PayPal, and Cisco.
• With YoY revenue growth of over 65%, we have also been recognized among the top 20 fastest-growing SaaS companies worldwide in the SaaS 1000 list.
• Recognized by Forrester and Everest Group as a 'Leader' in the digital adoption space, and listed by LinkedIn among one of the Top 5 startups in India in 2020
• Listed in Deloitte Technology Fast 500 among fastest-growing companies in North America for 2022 and 2021 and recognized as Great Place to Work
• Whatfix has been named a Silver Winner in Stevie's Employer of the Year 2023.
• Our Customer centricity is also evident from a Customer rating of 4.67 on G2 Crowd & 4.7 on Gartner Peer Insights

Whatfix is disrupting the way Application Support and Learning content is consumed by providing Contextual and Interactive WalkThroughs inside enterprise applications when a task is being performed.

We provide enterprises with a Software Platform that allows them to create Interactive Guides or Flows that sit as an overlay inside any web application. Flows are Contextual-they appear based on where you are in the application (location) and who you are (role). Optimal performance and adoption of any web application are attained when there is easy access to Contextual Information inside the application when a task is being performed.

What would you get to do?

The Bizapps team at Whatfix is responsible for enabling the company's operational excellence by building and managing key internal business applications that support various departments like Sales, Marketing, Customer Success, Finance, and Operations. The team is focused on providing data-driven insights, streamlining workflows, and enhancing productivity through scalable technology solutions.

We are building this team from the ground up and looking for a Data Analyst who will play a critical role in analyzing, reporting, and driving improvements across internal business processes.

As a Data Analyst in the Bizapps team, you will be responsible for analyzing internal business data, creating dashboards, and providing actionable insights that influence key decision-making processes. You will collaborate with cross-functional teams, including Product, Sales, Marketing, and Operations, to develop data-driven solutions and optimize business performance. This role offers the opportunity to work in a fast-paced environment with high impact and visibility.

Key Responsibilities

• Data Analysis & Reporting: Analyze large and complex datasets to identify patterns, trends, and opportunities for business growth and operational improvements.
• Dashboard Development: Design, build, and maintain interactive dashboards and visualizations to provide actionable insights for stakeholders.
• Performance Monitoring: Track key performance indicators (KPIs) for various business processes, including sales pipeline, marketing campaigns, revenue, and customer success metrics.
• Data Quality & Governance: Ensure accuracy, completeness, and consistency of data across internal systems, identifying and resolving data discrepancies.
• Collaboration: Work closely with the Engineering, SalesOps, MarketingOps, and Finance teams to gather requirements, define metrics, and implement data models for key business applications.
• Process Optimization: Provide recommendations to streamline workflows and improve data integration across tools like CRM, ERP, marketing automation platforms, and other business applications.
• Predictive Insights: Support decision-making through predictive analysis using statistical techniques and machine learning models (if applicable).

Who you are ?

• Education: Bachelor's degree in data science, Statistics, Computer Science, Business Analytics, or a related field. Master's degree is a plus.
• Experience: 4- 8 years of relevant experience in data analysis, preferably in a business applications or SaaS environment.
• Technical Proficiency:
• Strong knowledge of SQL and ability to query large databases.
• Experience with BI tools such as Tableau, Power BI, Looker, or Domo.
• Familiarity with CRM systems like Salesforce, HubSpot, or other internal business platforms.
• Knowledge of Excel (advanced level) and scripting languages like Python/R is a plus.
• Data Modeling: Experience in designing data models, building ETL pipelines, or working with data warehouses (e.g., Snowflake, Redshift).
• Communication Skills: Ability to translate complex data insights into clear, concise, and actionable recommendations for both technical and non-technical stakeholders.
• Problem-Solving: Analytical mindset with strong problem-solving abilities to address business challenges using data-driven approaches.

Preferred Skills

• Experience in working with or managing internal business applications (e.g., CRMs, ERPs, or financial systems).
• Knowledge of data governance, data lineage, and best practices for managing enterprise data.
• Familiarity with AI/ML models and advanced data analytics techniques.
• Exposure to cloud data platforms (e.g., AWS, Azure, GCP).

Why Join the Bizapps Team at Whatfix?

• Opportunity to be part of a ground-up team that directly impacts internal business operations.
• Work on cutting-edge data solutions in a dynamic, collaborative environment.
• Exposure to cross-functional collaboration with senior stakeholders.
• Competitive compensation and opportunities for career growth within a rapidly scaling company.

Note:

• We strive to live and breathe our Cultural Principles and encourage employees to demonstrate some of these core values - Customer First; Empathy; Transparency; Fail Fast and scale Fast; No Hierarchies for Communication; Deep Dive and innovate; Trust, Do it as you own it.
• We are an equal opportunity employer and value diverse people because of and not in spite of the differences. We do not discriminate on the basis of race, religion, color, national origin, ethnicity, gender, sexual orientation, age, marital status, veteran status, or disability status

TCS Hiring for SAP ANALYTICS CLOUD

Location:Pune

Experience: 10-13

Must Have:

• Atleast 8 years of experience in Analysis, Design and Development in BI projects
• Strong Hands-on experience as SAP Analytics Cloud (SAC) Consultant
• Strong experience in documenting business requirements, functional, technical specifications, and test cases.
• Strong Analytics/Data warehouse experience using SAP Cloud Platform background and foundation
• Must be strong in building reports, dashboards, scorecards (good sense of data)
• Strong hands-on experience in Creation of Planning Models, Geo Maps, Value Driver Tree, and hierarchy in a model

Thanks & Regards

Sithara S Prasad

Hi,

We are having an opening for Manager-Data Analytics and BA Developer at our Mumbai location.

Job Summary :

As a Data Visualization Analyst, a person should be passionate about Analytics and its use in extracting insights from data. This role is required to develop corporate visualization solutions derived from multiple data sources using state-of-the-art tools to enable insight and decision-making at various levels. As a data and analytics developer, a person will play a key role in working on projects that may span a broad range of systems, providing subject matter support and technical inputs. A person should have experience in MS Power Platform / fabric, Tableau, Qlik with focus on report design, data model design, best practices, administration, report design, mashup design, mobility application and have good understanding of visualization aspects.

A person should have experience in multiple sources system connectivity. Ex: SAP, Cloud applications, Oracle, APIs, RDBMS etc. Handling BI/Analytical requirements at SUN Pharma Global. The resource will work with IT and Business team on the new developments, enhancements & support requirements.

Areas Of Responsibility :

A professional at this position level has the following responsibilities. Around 5 years of experience in data and analytics platform and technology with strong fundamental knowledge on visualization aspects.

Mandatory Skills:

Power BI , Tableau , Strong knowledge of SAP and Non-SAP Connectors and source system mapping, Basic of design principles and analytical capabilities, Admin

Good to have Skills:

Basic knowledge on SAP BW4HANA, SAP ERP, Azure , Cloud APIs and RDBMS systems.

Duties & Responsibilities:

• Experienced in developing dashboard wireframes.
• Experienced in Microsoft Power platform and tableau development & administration.
• Experienced in complex data model design with data and analytics tool using SAP and Non-SAP sources.
• Experience in report development
• Experience in roles and authorizations
• Extensively worked with business users on data and analytics requirement gathering and KPI design.
• Excellent team player, interfacing across business and technical groups and ability to work independently and highly motivated. Exceptional ability to quickly master new concepts and applications.
• Experienced in Client End User training for domestic and international clients.

Analytics & Reporting:

• Support & Enhancement of available report & dashboard
• Participate in full development lifecycle from system design, development, and testing and production implementation following best practice
• Extract, transform and load data from multiple sources into required data warehouse
• Perform data and systems analysis to translate business needs into technical piece
• Troubleshoot issues with existing data model and dashboards
• Modify existing reports & dashboards creating the next major release that incorporates new features from user feedback
• Handle the system administration, upgrade, migration and authorizations
• Create new dashboards from scratch based on requirements provided from Business Analysts and end users.
• Perform initial QA tests on dashboard changes comparing old versions to new versions. Help gather requirements from the users guiding them to the right decisions by getting to the real business requirements
• Build knowledge repository with IT team members & Power users
• Monitor and address data quality issues. Create and maintain technical & functional design documentation
• Adhere to and help set standards for design and coding, source control and documentation
• Designing authorization matrix
• Created complex Dashboard using Info chart, Icons, Check Box Group, Grid Layout & others components in MS Fabric
• Resolving the complex issues which are arising during the developing the dashboard
• Server sizing & performance tuning

Educational Qualification : BSc.IT, BSc.CS, BE.

Specific Certification : Good to have Power BI , Fabric

Experience : Around 5 years

Skill (Functional & Behavioural): Good Communication Skill, Analytical ability

Data Architect - Data & Analytics Delivery Practice Lead

Location: Bangalore /Coimbatore

Job Type: Full-Time

About the Role:

We are seeking a highly skilled and results-driven Data & Analytics Delivery Practice Lead to lead our end-to-end data engineering, Big Data, Streaming and business intelligence (BI) solutions. This is a key leadership role for someone who thrives on building scalable, cloud-agnostic data solutions and driving measurable impact through data analytics.

You will be responsible for managing a high-performing data team of 20+ members across onsite and offshore locations, primarily working on any Big Data, streaming Platforms Databricks, Snowflake, Redshift, Spark, Kafka, SQL Server, PostgreSQL on any Cloud ( AWS/Azure/GCP). Your expertise in Python, cloud infrastructure, and data architecture will be instrumental in creating intelligent and efficient data pipelines and products.

In addition to delivery excellence, you will serve as the primary customer contact for ongoing engagements and play an active role in pre-sales efforts-participating in prospect calls and leading proposal creation with an exceptional success rate.

Key Responsibilities:

Team Leadership and Development:

• Lead, mentor, and develop a high-performing global team of 20+ data professionals across onshore and offshore locations.
• Foster a culture of accountability, innovation, and continuous learning within the data team.
• Establish career development plans and performance metrics to drive individual and team growth that aligns with organizational KPIs.
• Align team structure and skill sets with evolving business and technology needs.

Delivery & Customer Focus:

• Serve as the primary point of contact for customers, ensuring successful delivery of data and analytics solutions.
• Translate complex customer requirements into scalable, high-impact data solutions.
• Maintain a strong focus on stakeholder engagement and satisfaction, ensuring delivery meets or exceeds expectations.
• Drive pre-sales activities, including client discovery calls and proposal development, maintaining close to 100% win rate.

Technology & Market Adaptation:

• Architect and implement scalable, cloud-agnostic data solutions using technologies such as Big Data, streaming Platforms Databricks, Snowflake, Redshift, Spark, Kafka, SQL Server, PostgreSQL on any Cloud ( AWS/Azure/GCP)
• Stay ahead of technology trends in data engineering, cloud computing, and big data platforms to ensure competitive offerings.
• Evaluate and adopt emerging tools and frameworks that enhance productivity, performance, and innovation.

Cross-Functional Collaboration with Global Teams:

• Collaborate closely with platform engineering, BI, and AI/ML teams to deliver integrated, end-to-end data solutions.
• Act as a bridge between technical and non-technical stakeholders, translating business needs into technical execution.
• Promote knowledge sharing and alignment across functional and geographical team boundaries.

Process Improvement and Reporting:

• Define and continuously refine best practices in Technology frameworks and operational processes.
• Drive improvements in data quality, performance, and governance across the data lifecycle.
• Track team utilization and proactively forecast upcoming bench time, ensuring maximum billing efficiency and planning for resource allocation.
• Achieve and maintain 100% billing utilization by aligning team capacity with project demands.
• Generate and share regular utilization and billing reports with the leadership team to inform resourcing and financial strategies.
• Lead initiatives to automate and streamline data processes, reducing manual effort and increasing delivery speed.

Required Skills and Qualifications:

• 10+ years of experience in Data Engineering and Analytics, with at least 3-5 years in a leadership role.
• Proven experience managing global teams, both onsite and offshore.
• Strong hands-on technical background in Big Data, streaming Platforms, Databricks, Snowflake, Redshift, Spark, Kafka, SQL Server, PostgreSQL on any Cloud ( AWS/Azure/GCP), and modern BI tools.
• Demonstrated ability to design and scale data pipelines and architectures in large, complex environments.
• Excellent soft skills including leadership, client communication, and stakeholder management.
• A successful track record of pre-sales engagement and proposal development with high closure rates.
• Experience working across cross-functional teams including platform and AI/ML engineering.
• Strong problem-solving mindset with the ability to think strategically and execute tactically.

Designation : Mobile Analytics

Experience : 4 + Years

Location : Bangalore

Notice Period : Immediate to currently serving

JD:

Strong experience in working on mobile/web analytics tools - Adobe Analytics or Amplitude preferred.

Knowledge on implementation of end-to-end analytics lifecycle for the businesses such as questionnaire to business, BRD creation, variable mapping, Data Capture Plan creation, report suite setup and configuration, custom implementation

Pre and post production validation and debugging of tags strongly preferred (Tools:Fiddler/Charles)

Fair understanding on the KPIs and metrics

Experience in creating/updating processing rules

Fair understanding of working in workspace to create dashboards on KPIs

Fair understanding of creating segments, Calculated metrics and classification rules.

Developing processed and procedures to streamline the data collection process

Excellent written and oral communication skills

Demonstrated ability to work in a team and independently

TCS Hiring for SAP ANALYTICS CLOUD

Location: Chennai/Bangalore

Experience: 4-13

Must Have:

• Atleast 8 years of experience in Analysis, Design and Development in BI projects
• Strong Hands-on experience as SAP Analytics Cloud (SAC) Consultant
• Strong experience in documenting business requirements, functional, technical specifications, and test cases.
• Strong Analytics/Data warehouse experience using SAP Cloud Platform background and foundation
• Must be strong in building reports, dashboards, scorecards (good sense of data)
• Strong hands-on experience in Creation of Planning Models, Geo Maps, Value Driver Tree, and hierarchy in a model

Thanks & Regards

Sithara S Prasad

1. Extremely Strong and Competent Patent Searching Professional with a minimum of 1+ years of relevant experience of conducting all types of searching (FTO, Patentability, Validity, EoU, Infringement Analysis, Licensing Support, Claim Charts) in Core Telecom/Electronics/Software Domains.

2. Technical understanding of subject matter and depth to which the candidate goes for elaborating the invention in the specification is the key evaluation parameter.

3. The preferred work location would be the Noida/New Delhi Office of IIPRD/K&K, however candidates preferring to work in Bangalore/Pune/Mumbai/Hyderabad/Chennai Locations of IIPRD can also apply.

4. Candidate should have a strong understanding of Patent Act, and should be technically very sound with intent of going into complete detail of the invention.

5. Should have clarity in verbal communications so as to efficiently discuss with clients, and manage client projects, mandates, business development mandates, and client relationships.

6. Should be a strong team player as well as a positive individual contributor.

7. Should be willing to take additional responsibilities pertaining to trainings, speaking opportunities, client communications, overseeing the docketing team to ensure smooth client intimations, among others.

Experience : 5-10 yrs

Salary Range: up-to 10L

Job -Location : Kosamba (near Surat)

Languages Known: Gujarati (Preferrable) , Hindi , English

Education (min) : B.E. (Electrical, Electronics, Mechatronics, Computer, IT etc.)

Basic Requirements

Work ex in Manufacturing Plant

Experience of working in Digital / IOT / IIOT / OT technologies

Good communication skills

High level of confidence

Ready to work in Plant

Ready for daily travel to Plant locations

Knowledge / Information about PGP Glass

Additional Requirement

Ability to relocate to Other Plants within Gujarat

Good multi-tasking ability

Project Management skills

Exposure to Digital / OT platforms - MES, EMS, Computer Vision, AI-ML

Understanding of SDLC (Software Development Life Cycle)

Documentation skills

Exposure to Data Analytics

Worked on Industry 4.0 technologies

Digital communication Protocols and devices

Cloud Technologies exposure

Ability to drive projects

Ability to manage operations

Ability to work with partners / vendors

Stakeholder management skills

Ability to conduct training

Cross-function teams (CFT)

Exposure to Six Sigma, Lean, Kaizen

Lean Principles

Job Summary

We are seeking a highly skilled S/4 HANA Embedded Analytics Specialist to design, develop, and enhance analytics capabilities within the SAP S/4 HANA environment. The ideal candidate will have expertise in leveraging S/4 HANA's Embedded Analytics tools, Core Data Services (CDS), and Embedded BW (Business Warehouse) to provide actionable insights, optimize business processes, and drive data-driven decision-making.

Key Responsibilities

1. Design, build, and deploy reports, dashboards, and analytical applications using SAP S/4 HANA Embedded Analytics. Develop Core Data Services (CDS) views to expose business data for analytics and reporting.

2. Leverage SAP Embedded BW for advanced data modeling, extraction, and transformation tasks.

3. Develop BW objects such as InfoObjects, CompositeProviders, and Open ODS views in the S/4 HANA Embedded BW environment.

4. Extract and transform data for reporting and analytics using Embedded BW capabilities.

5. Optimize data flows and queries for performance and scalability in the Embedded BW environment.

6. Optimize CDS views, Embedded BW objects, and analytics applications for performance and usability. Ensure data accuracy, integrity, and security across all analytics solutions.

7. Integrate Embedded Analytics and Embedded BW with external tools such as SAP Analytics Cloud (SAC) or third-party BI tools.

8. Design intuitive dashboards and KPIs for end-users using data from Embedded BW and CDS views.

Must Have :

• Excellent Knowledge and hands-on skills of SAP S/4 Embedded Analytics (CDS Views) and ABAP, AMDP
• Working knowledge on creation and maintenance of OData services, Analytical list page

Nice to Have :

Good proficiency in SAP BW on HANA , BW/4HANA and SAP Analytics Cloud

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

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

About the Job :

At Techjays, we are driving the future of artificial intelligence with a bold mission to empower businesses worldwide by helping them build AI solutions that transform industries. As an established leader in the AI space, we combine deep expertise with a collaborative, agile approach to deliver impactful technology that drives meaningful change.

Our global team consists of professionals who have honed their skills at leading companies such as Google, Akamai, NetApp, ADP, Cognizant Consulting, and Capgemini. With engineering teams across the globe, we deliver tailored AI software and services to clients ranging from startups to large-scale enterprises.

Be part of a company that's pushing the boundaries of digital transformation. At Techjays, you'll work on exciting projects that redefine industries, innovate with the latest technologies, and contribute to solutions that make a real-world impact. Join us on our journey to shape the future with AI.

We're looking for a skilled AI Implementation Engineer with a strong JavaScript/TypeScript background to help us build scalable AI-powered systems, with a particular focus on Retrieval-Augmented Generation (RAG) and LLM integrations. You will play a key role in developing intelligent applications that combine vector search, natural language processing, and LLM-driven reasoning, delivering real-time AI experiences to end users.

You'll work with full-stack engineers, AI researchers, and data teams to create seamless interfaces between front-end applications, back-end services, and AI models.

We are seeking a Data Analytics Engineer to design, develop, and optimize data pipelines and analytical dashboards that drive key business decisions. The ideal candidate will have hands-on experience working with BI tools like Power BI and Tableau and a strong background in building scalable data pipelines in AWS, GCP, or Azure cloud environments.

Experience Range: 3 to 6 years

Primary skills : Power BI, Tableau, SQL, Data Modeling, Data Warehousing, ETL/ELT Pipelines, AWS Glue, AWS Redshift, GCP BigQuery, Azure Data Factory, Cloud Data Pipelines, DAX, Data Visualization, Dashboard Development

Secondary Skills : Python, dbt, Apache Airflow, Git, CI/CD, DevOps for Data, Snowflake, Azure Synapse, Data Governance, Data Lineage, Apache Beam, Data Catalogs, Basic Machine Learning Concepts

Work Location : Remote

Key Responsibilities:

• Develop and maintain scalable, robust ETL/ELT data pipelines across structured and semi-structured data sources.
• Collaborate with data scientists, analysts, and business stakeholders to identify data requirements and transform them into efficient data models.
• Design and deliver interactive dashboards and reports using Power BI and Tableau.
• Implement data quality checks, lineage tracking, and monitoring solutions to ensure high reliability of data pipelines.
• Optimize SQL queries and BI reports for performance and scalability.
• Work with cloud-native tools in AWS (e.g., Glue, Redshift, S3), GCP (e.g., BigQuery, Dataflow), or Azure (e.g., Data Factory, Synapse).
• Automate data integration and visualization workflows.

Required Qualifications:

• Bachelor's or Master's degree in Computer Science, Information Systems, Data Science, or a related field.
• 3+ years of experience in data engineering or data analytics roles.
• Proven experience with Power BI and Tableau - including dashboard design, DAX, calculated fields, and data blending.
• Proficiency in SQL and experience in data modeling and relational database design.
• Hands-on experience with data pipelines and orchestration using tools like Airflow, dbt, Apache Beam, or native cloud tools.
• Experience working with one or more cloud platforms - AWS, GCP, or Azure.
• Strong understanding of data warehousing concepts and tools such as Snowflake, BigQuery, Redshift, or Synapse.

Preferred Skills:

• Experience with scripting in Python or Java for data processing.
• Familiarity with Git, CI/CD, and DevOps for data pipelines.
• Exposure to data governance, lineage, and catalog tools.
• Basic understanding of ML pipelines or advanced analytics is a plus.

What We Offer:

• Competitive salary and benefits.
• Opportunity to work with modern cloud-native data stack.
• Collaborative, innovative, and data-driven work environment.
• Flexible working hours and remote work options.

It's fun to work in a company where people truly BELIEVE in what they are doing!

We're committed to bringing passion and customer focus to the business.

About Fractal

Founded in 2000, Fractal Analytics () is a strategic analytics partner to the most admired Fortune 500 companies globally and helps them power every human decision in the enterprise. Fractal currently has 4500+ employees across 16 global locations, including the United States, UK, Ukraine, India, Singapore, and Australia. Fractal has been recognized as 'Great Workplace' and 'India's Best Workplaces for Women' in the top 100 (large) category by The Great Place to Work Institute; featured as a leader in Customer Analytics Service Providers Wave 2021, Computer Vision Consultancies Wave 2020 & Specialized Insights Service Providers Wave 2020 by Forrester Research Inc., a leader in Analytics & AI Services Specialists Peak Matrix 2022 by Everest Group and recognized as an 'Honorable Vendor' in 2022 Magic Quadrant for data & analytics by Gartner Inc. For more information, visit

Position Summary:

• Take business problem and build structured analytical approaches to solving, inclusive of identifying needed data, analysis required, and strategy for synthesizing and presenting the analysis results

• Design and build analytical solutions to enable recurring analysis of business performance

• Effectively scope, size, and plan the development of analytical solutions and set expectations accordingly.

• Translate high level business problems into discrete questions that can be answered by using data-driven models

• Identify opportunities to improve business performance through use of analytical approaches

• Translate output of models into recommendations for how the business can operate differently

Collaborative Relationships

• Develop and maintain effective working relationships with members of cross-functional teams.

• Create a strong partnership with all areas of the organization that require interaction.

• Partner with stakeholders to drive implementation of recommendations from analysis

• Keep individual, division, and total company goals in mind when making decisions.

• Demonstrate and utilize strong communication skills in all interactions.

Qualifications & Skills

• Minimum of 6 years of experience in business consulting, analytics, or a related field, with a proven track record of leading and delivering high-impact projects.
• Strong analytical and problem-solving skills, with expertise in statistical analysis, machine learning, and data modeling.
• Excellent communication and interpersonal skills, with the ability to articulate complex concepts to non-technical and senior stakeholders.
• Story boarding
• Experience in leading cross functional teams and envisioning + achieving roadmaps independently or via collaboration.
• Proficiency in data analysis tools and programming languages such as SQL, Python, R, or similar.
• Ability to pursue value additions beyond BAU and truly partner with clients.
• Experience with business intelligence tools (e.g., Tableau, Power BI) and data management platforms.

Open for other locations: Gurugram, Noida, Mumbai, Pune, Bengaluru, Chennai

If you like wild growth and working with happy, enthusiastic over-achievers, you'll enjoy your career with us!

Not the right fit? Let us know you're interested in a future opportunity by clicking Introduce Yourself in the top-right corner of the page or create an account to set up email alerts as new job postings become available that meet your interest!

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!

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.

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