Top Data Analyst Jobs in Pune

Supports client operations through data analysis, process execution, quality validation, reporting, secondary research, and investigation of client questions. The role coordinates stakeholders across time zones, documents and tests operational procedures, identifies process improvements, and collaborates with engineering and delivery teams to ensure accurate, timely client deliverables.

Lead analytics to improve player experience, engagement, retention, and monetization. Analyze player lifecycle, run cohort and funnel analyses, design and evaluate A/B tests, build dashboards, define product metrics, investigate KPI changes, and partner with product, marketing, engineering, and data teams to deliver data-driven recommendations and improve data quality.

Analyze large-scale on-chain data to detect anomalous transactions, develop detection mechanisms and risk monitoring frameworks, apply supervised and unsupervised ML, identify malicious accounts via community-discovery algorithms, and design integrated on-chain/off-chain prevention and control systems.

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.

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.

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.

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.

Design, build, and govern HSW data solutions and analytics; deploy AI and automation into HSW processes; produce Power BI dashboards and regular reports; support Cority operations; drive data strategy, governance, and actionable insights to improve safety and operations.

Drive end-to-end product analytics for user growth and product strategy: define metrics, design and analyze A/B tests, handle PB-scale behavioral and transactional data, build dashboards, predictive models, and deliver actionable insights to product and business stakeholders.

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.

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.

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

The Senior Analyst will extract and validate clinical data from EHR systems, ensuring quality and compliance with medical regulations while supporting reporting 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 Analyst for Clinical Data Abstraction will extract, validate, and analyze clinical data while ensuring compliance with regulations and maintaining data accuracy.

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.

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.

Supports client onboarding, data management, operational ticket tracking, issue escalation, process documentation, and system testing. Maintains compliance with operational standards, legal requirements, and quality procedures. Collaborates with operational leads to resolve issues and improve workflows. Requires basic SDLC knowledge, MS SQL and Python skills, XML parsing familiarity, and preferably EHR system understanding. This is a fresher-level opportunity for candidates with IT or computer science backgrounds.

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.

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, 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 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.

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.

The role involves building scalable data models, automating reporting, implementing metrics, developing dashboards, and ensuring data quality across teams globally.