Top Data Analyst Jobs in Pune

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.

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. 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.

Develop and maintain data and records governance and lineage frameworks, manage end-to-end data lineage activities using lineage tools, monitor data quality and compliance, produce guidance, dashboards and executive reporting, identify and mitigate records/data risks, train stakeholders, and coordinate BAU lineage operations across the Chief Data Office and governance forums.

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.

Lead implementation, configuration, and support of Enablon EHS and Plant Data systems. Analyze business processes, design integrations with SAP and plant systems (VMS, VIP, IP.21), provide operational support, engage stakeholders, coordinate change and release activities, and document configurations and processes.

Collaborate with game teams to deliver actionable insights that increase user acquisition, engagement, and monetization. Design and instrument analytics events and queries, run exploratory analyses and competitor analysis, generate reports, and design/interpret A/B tests to evaluate game features and offers.

Perform data governance and records analysis to identify quality, lineage, and control issues; build data pipelines; apply advanced analytics and ML to large datasets; create interactive dashboards and MI reporting; conduct RCSA activities, issue management, stakeholder engagement, and advise on risk controls and remediation.

The Forward-Deployed Data Analyst will engage with African Ministries of Health, build data management solutions, develop dashboards, and support public health decision-making.

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.

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 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.

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, 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.

Own credit approval and data quality for Order-to-Cash: review orders, assess credit risk, reconcile accounts, validate business records, run SOX/compliance testing, lead root-cause analysis and process improvements, support bulk data projects and documentation updates.

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.