Top Data Analyst Jobs in Pune

Entry-level Product Data Analyst internship supporting product analytics: build and analyze conversion funnels, evaluate A/B tests, create dashboards, respond to ad-hoc data requests, write SQL pipelines, monitor data quality, and translate findings into visual summaries to inform product decisions.

Partner with business stakeholders to convert questions into data analyses, build predictive models (regression, decision trees, random forest, SVM), produce visualizations and scorecards in Tableau/PowerBI, surface insights and recommendations, and communicate results to senior leaders. Drive POCs to implementation and handle large structured and unstructured datasets; working knowledge of LLMs/GenAI and deep learning is advantageous.

Lead the data solutions strategy for PR&C PSP division, managing data initiatives, teams, and collaborating on analytics projects. Ensure compliance, governance, and optimize data services while communicating technical solutions to stakeholders.

The Data Analyst role focuses on data analysis, issue investigation, and building data pipelines to drive business recommendations and improvements through advanced analytics and visual reporting.

The Senior Data Analyst will manage sales analytics projects, optimize data infrastructure, and deliver insights for the sales organization, collaborating across teams.

Lead development and maintenance of global data and records governance frameworks, monitor data quality and compliance, identify and remediate data risks, implement records management programs, provide guidance and training, run governance reporting, and influence senior stakeholders while managing remediation and control enhancement initiatives.

The Forward-Deployed Data Analyst will engage with African Ministries of Health, build data management solutions, develop dashboards, and support public health decision-making.

Build, govern, and deliver HR reports, OTBI dashboards, and workforce analytics. Provide insights on headcount, turnover, hiring, compensation, payroll, and diversity; ensure data quality; partner with HR stakeholders; automate reporting and train users.

Design, build, and maintain HR reports and OTBI dashboards; analyze workforce metrics (headcount, turnover, retention); ensure HR data quality and governance; partner with HR leaders to deliver insights, automation, and training to support strategic workforce planning.

The Senior Analyst will extract and analyze clinical data from multiple EMR/EHR platforms, ensuring quality and compliance with regulatory standards. Responsibilities include data abstraction, quality assurance, collaboration, and reporting for clinical registries and improvement initiatives.

Analyze and validate clinical data from EHR/EMR systems, ensure compliance with regulatory standards, and support quality improvement initiatives.

Perform data governance and records analysis to identify quality, lineage, and control issues; build data pipelines; apply advanced analytics and ML to large datasets; create interactive dashboards and MI reporting; conduct RCSA activities, issue management, stakeholder engagement, and advise on risk controls and remediation.

The Senior Analyst will extract, analyze, and validate clinical data, ensuring compliance with regulations while supporting quality improvement initiatives and collaborating with team members.

The Data Analyst prepares, analyzes, and validates data, applying statistical methods and visualization techniques to derive insights and support business objectives. Communicates findings effectively and collaborates with Data Engineers for model and dashboard implementation.

The role involves data analytics with a focus on querying large data sets, visualization using Tableau, and applying quantitative skills, predominantly in the FMCG and Food & Distribution sectors.

Design, build, and maintain cross-vendor market data pipelines and QA processes. Investigate complex data issues, handle escalations, collaborate with product and engineering via JIRA, and ensure data accuracy for equities fundamentals, estimates, and market data.

Extract, validate, and analyze clinical data from multiple EHR/EMR systems to support registries, reporting, and quality improvement. Maintain 98%+ accuracy, ensure HIPAA compliance, reconcile QA feedback, and produce reports for clinical registries while collaborating on training and inter-rater reliability.

The Data Analyst will support product marketing initiatives by analyzing data, tracking KPI progress, developing dashboards, and providing actionable insights to inform decision-making across business units.

Extract, analyze, and validate clinical data from multiple EHR/EMR systems to support registries, reporting, and quality improvement. Ensure 98%+ data accuracy, maintain HIPAA compliance, perform clinical interpretation of reports, participate in QA and inter-rater reliability, and produce summaries and reports using Excel and database tools.

Gather, clean, and analyze data from multiple sources; build and maintain Power BI and Excel dashboards; run SQL queries and Python scripts for automation; collaborate with cross-functional teams to interpret trends and communicate insights; create documentation and improve reporting processes.

Perform exploratory analysis, build dashboards and reports (Tableau), write SQL queries, use Python for data cleaning and predictive models, collaborate with stakeholders, communicate insights, and maintain data models, pipelines, and quality checks.

The Senior Analyst will own Pricing Tools, manage data governance, drive pricing strategy decisions, execute audits, and enhance operational effectiveness.

The Senior Director Analyst develops insights on data management platforms, leads the research agenda, engages clients, and mentors junior analysts, utilizing extensive expertise in data management and AI solutions.

Design, develop, and support analytics solutions, dashboards, reports, and data models. Prepare and transform data, ensure data quality and governance, collaborate with stakeholders, leverage AI to accelerate delivery, and drive process improvements to enable data-driven decisions.

Design and execute test cases, plans, and strategies for ETL/data workflows. Perform functional, integration, and regression testing, validate backend data using SQL/Snowflake, read stored procedures, identify defects, support resolution with developers, and develop/maintain Python automation scripts and test documentation.