Top Data Analyst Jobs in Pune

Design, develop, and support analytics solutions including dashboards, reports, and data models. Clean and transform data, ensure data quality and governance, partner with stakeholders to gather requirements, apply AI prompting/tools to accelerate delivery, and implement process and change improvements for scalable, production-ready analytics.

Senior Data Analyst role based in Chennai or Bangalore requiring strong SQL and visualization skills (Power BI or Tableau). 8+ years experience required. Python and PowerAutomate familiarity preferred. Responsible for analyzing data, building dashboards, and supporting reporting and automation.

Seeking a Data Analyst with 6-9 years' experience in Python-driven data analysis or automation. Must be strong in Python programming, basic AWS, shell scripting, and Linux to build analysis scripts, automate workflows, and operate in Linux/AWS environments.

Conduct consultative analytics and deliver executive-level recommendations and ad hoc analyses to business and finance partners. Build self-service dashboards and presentations, perform predictive modeling and time-series forecasting (preferably for workforce optimization), provide cost-benefit analyses for investments, and streamline processes while communicating insights to senior stakeholders.

Perform consultative analytics and predictive modeling to produce executive-level recommendations and ad-hoc analyses. Build dashboards and presentations for senior management, support finance and business partners with cost-benefit and workforce optimization analyses, streamline processes, and communicate insights clearly to influence decision-making.

Early-career Data Analyst who designs and owns core analytics, dashboards, and data pipelines. Analyze transaction, customer, and credit data to inform credit, fraud, AML, portfolio performance, unit economics, and growth. Build automations and workflows with SQL and Python, partner with cross-functional teams, and own compliance reporting and durable analytical systems.

Early-career role analyzing PB-scale on-chain, transactional and customer data. Perform data engineering, ETL, querying, build visualizations and ML models, translate insights for teams, manage reporting environment, secure confidential data, and troubleshoot reports/databases.

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.

Analyze high-volume data to identify patterns and insights, build Power BI visualizations, configure Denodo metadata, integrate Azure services and ServiceNow data, perform ETL and data warehousing tasks, collaborate with stakeholders, troubleshoot issues, and support data-driven strategies and automation.

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.

Extract, validate, and analyze clinical data from multiple EHR/EMR platforms to support registries, reporting, and quality improvement. Maintain 98%+ data accuracy, ensure HIPAA compliance, perform clinical interpretation of pathology/radiology/treatment reports, support QA and inter-rater reliability, and prepare documentation and reports for clinical initiatives.

Lead data analysis and engineering to enable data-driven decisions: investigate data quality and lineage, build automated pipelines, apply advanced analytics and ML, design interactive dashboards and reports, translate insights into business recommendations, and support governance and controls while coaching or leading team members.

Lead data analysis and pipeline design to enable data-driven decisions. Investigate data quality and lineage, build automated ETL, apply statistical and ML techniques, and produce interactive dashboards and reports to support stakeholders and operational improvements.

Extract, analyze, and validate clinical data from multiple EHR/EMR platforms to support registries, reporting, and quality improvement. Maintain 98%+ accuracy, ensure HIPAA compliance, reconcile QA feedback, perform clinical interpretation of pathology/radiology/treatment reports, and produce registry reports using Excel and database tools. Participate in inter-rater reliability assessments and team training.

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

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.

Manage requests for new ServiceNow reports and dashboards, resolve dashboard/reporting incidents, train users on dashboards, build executive KPIs and scorecards, engage stakeholders to gather requirements, and apply AI/Generative AI for reporting automation and insights.

Ensure accuracy, completeness, and consistency of product data by validating, cleansing, enriching, profiling, and monitoring quality. Maintain data dictionaries, lineage, metadata, governance policies, dashboards, and compliance. Collaborate with stakeholders, operations, and other data stewards; train users and gather feedback to improve data products.

Ensure accuracy, completeness, and consistency of product data by validating, cleansing, profiling, and enriching content. Define data quality standards, maintain data dictionaries and lineage, implement governance policies, build quality dashboards, collaborate with stakeholders and operations, train users, and ensure compliance with privacy and regulatory requirements.

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.

Manage the operational lifecycle of the Flight Plan for e-commerce clients ensuring proper setup, maintenance, and actionable insights from the infrastructure.

Extract, validate, and analyze clinical data from multiple EHR/EMR platforms to support registries, quality reporting, and improvement initiatives. Maintain 98%+ accuracy, ensure HIPAA compliance, interpret pathology/radiology/treatment reports, support QA processes, and produce summary reports for stakeholders while collaborating in team trainings and inter-rater reliability assessments.

Lead data analysis workstreams using large datasets and AWS analytics tools to define metrics, test hypotheses, perform root-cause analysis, produce insights and visualizations, and present actionable recommendations to stakeholders.