Top Data Analyst Jobs in Pune

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.

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

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.

Design, develop and improve software solutions and finance reporting capabilities. Lead or advise teams, ensure secure coding and unit testing, manage portfolio governance, JIRA administration, dashboards and MI, partner with stakeholders, manage risk and controls, and drive continuous improvement.

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.

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

Analyze PB-scale trading, transactional, operational and customer data; build visualizations, ML models and experiments; translate findings into actionable recommendations for trading, operations, product and executives in a fast-paced environment.

Elicit and document finance and risk business requirements, translate to functional specifications, collaborate with data and development teams, support regulatory compliance (Basel/IFRS/SOX/CCAR), validate data quality/lineage, participate in UAT, and prepare BRDs/FRDs and user documentation.

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

Maintain and operationalize the companys data governance artifacts: author and version taxonomies, business glossary terms, and data rules; detect and resolve rule conflicts and gaps; manage metadata and change history; support intake and certification of reference data; produce documentation and governance reporting to ensure rules are usable in production classification and quality workflows.

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.

Design, develop, and maintain interactive dashboards and semantic data models (primarily in Power BI). Partner with stakeholders to define KPIs, build SQL queries and ETL transformations, ensure data quality and governance, troubleshoot performance, document processes, and deliver actionable insights across large, disparate datasets in a fast-paced, matrixed environment.

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.

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.

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.