Top Data Analyst Jobs in Pune

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.

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.

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

The Senior Data Analyst will analyze complex datasets, develop data transformation pipelines, manage pricing processes, and communicate insights to stakeholders.

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.

The Data Analyst generates and manages data for reports, oversees coding teams, ensures quality standards, and contributes insights for report production.

The Senior Data Analyst will define source data, create data mapping, report inconsistencies, assist with data migration, and manage stakeholder expectations while delivering insights in financial services.

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 Data Analyst I role involves analyzing data to solve business problems, supporting business intelligence initiatives, and developing Power BI solutions, while collaborating with various teams and stakeholders.

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

Responsible for managing AMI business, ensuring implementation, O&M, and revenue. Key activities include stakeholder management, troubleshooting, monitoring progress, and ensuring compliance with guidelines and SLAs.

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.

The Senior Web3 Data Analyst will manage web3 analytics, monitor on-chain activity, analyze competitor metrics, and deliver insights for product and leadership teams.

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.