Find Your Dream Data Analytics Job in India

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 -

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

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

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

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.

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.

• 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

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

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.

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

About McDonald's:

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

Position Summary:

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

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

Who we're looking for:

Primary Responsibilities:

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

Skill:

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

Work location: Hyderabad, India

Work pattern: Full time role.

Work mode: Hybrid.

Additional Information:

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

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

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

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

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

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

Functional Description:

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

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

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

Purpose of the Role

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

How will you make an impact in this role?

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

Responsibilities:

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

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

Minimum Qualification

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

Technical Skills/Capabilities

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

Knowledge of Platforms

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

Compliance Language

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

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

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

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

• 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

Job Summary:

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

Key Responsibilities:

Strategy and Leadership:

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

Project Management and Execution:

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

Data Analytics and Reporting:

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

Collaboration and Training:

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

Governance and Compliance:

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

Required Skills and Qualifications:

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

Preferred Skills:

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