Top Data Analyst Jobs in Pune

The Data Analyst Manager will lead the data analytics team, develop data strategies, ensure data correctness, and coordinate with different departments for insights.

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.

As a Product Data Analyst, you'll manage data analytics, capture user behavior, optimize user experience, and analyze user journeys across SaaS and On-premises offerings.

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.

Perform data review, QA, analysis and release for Comscore's digital media dictionary databases. Investigate and report product issues, support senior analysts and engineers, implement database procedures and quality-control enhancements, manage projects and client communications, and ensure timely, accurate classification structures for India/APAC market data.

Manage the data lifecycle, perform analysis and visualization, ensuring data accuracy and uncovering insights to support eCommerce goals.

The Senior Data Analyst is responsible for building audiences, compiling research for insights, creating audience profiles, and addressing research queries from teams and clients.

The Sr. Data Analyst builds audiences for insights, compiles research, creates audience profiles, and answers research questions from teams and clients.

The Senior Analyst for Clinical Data Abstraction will extract, validate, and analyze clinical data while ensuring compliance with regulations and maintaining data accuracy.

Lead end-to-end data analysis: transform raw data, develop reports and dashboards (PowerBI), monitor performance and quality, implement ETL and data modeling, apply predictive modeling/NLP/machine learning, and support cross-functional data-driven decisions.

The Financial Data Analyst analyzes financial and sales data to improve forecasting, budgeting, and performance, collaborating with various teams.

Provide financial expertise to business units, develop financial models, collaborate across functions, improve processes, and analyze financial data to support decision-making.

The Senior Analyst will abstract medical data from EHR/EMR systems, analyze medical information, and support quality assurance processes while maintaining confidentiality and adhering to HIPAA guidelines.

Extract, analyze, and validate clinical data from multiple EHR/EMR platforms to support registries, reporting, and quality improvement. Ensure 98%+ data accuracy, HIPAA compliance, QA participation, and present summarized findings. Use medical terminology knowledge and Excel for data management.

Extract, validate, and analyze clinical data from multiple EHR/EMR systems for registries and quality reporting. Maintain 98%+ accuracy, ensure HIPAA compliance, interpret pathology/radiology/treatment reports, support QA processes, and present summarized results using Excel and database tools.

Independently extract data from CSV and PDF sources, transform and map into strict JSON schemas, build material- and supplier-level records, and validate every record with zero data loss. Use AI tools to assist but manually verify all outputs and follow SOPs and QA checklists.

Lead analytics on oncology patient journeys and line-of-therapy using large claims datasets (DRG, IQVIA, McKesson, Symphony). Perform EDA, HEOR/HCRU analyses, build SQL pipelines, automate analyses with Python and Excel, and present client-facing insights via dashboards and PowerPoint while ensuring data governance and reproducibility.

Lead analytics for oncology patient-journey and line-of-therapy mapping using structured claims datasets. Perform EDA, HEOR/HCRU analyses, build SQL pipelines, automate analyses with Python and Excel, create client-facing dashboards and presentations, ensure data governance, and manage stakeholder collaboration and project delivery.

Design, build, and operationalize analytics and visualization solutions using data from GCP, Oracle, and SAP HANA. Collaborate with stakeholders to define requirements, apply BI&A methodology, develop dashboards and metrics, and interpret analyses to identify trends, forecasts, and alternatives to support business objectives.

The role involves supporting and maintaining the Azure Data Platform by managing incidents, monitoring performance, and optimizing database operations. Responsibilities include troubleshooting ADF, Synapse Analytics, and ensuring data security compliance.

The Senior Analyst will extract and validate clinical data from EHR systems, ensuring quality and compliance with medical regulations while supporting reporting initiatives.

Support Digital Marketplace deployments for Equifax products, develop frameworks for product deliveries, automate processes, and provide cloud computing solutions.

The Senior Data/Machine Learning Analyst develops, tests, and operationalizes data science solutions, leveraging various data types and analytics methods to drive business innovation at Cardinal Health.