Top Data Analyst Jobs in Pune

The Data Analyst role focuses on data analysis, issue investigation, and building data pipelines to drive business recommendations and improvements through advanced analytics and visual reporting.

Lead business and data analysis initiatives: define KPIs, improve processes, ensure data quality, translate requirements into technical specs, collaborate on Salesforce customizations, present insights, manage projects and UAT, and drive data governance.

Design, clean, analyze, and visualize data using SQL and Python; build Tableau dashboards; apply statistics and basic ML/DS concepts; follow software/data-engineering practices (version control, unit testing, high-performance code); work with structured and unstructured data and cloud environments.

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.

The Data Analyst will support product marketing by analyzing performance metrics, developing dashboards, and providing insights for decision-making across Pall's marketing initiatives.

The Data Analyst supports product marketing initiatives by collecting and interpreting data, analyzing results, and providing actionable insights while collaborating with various teams to enhance product lifecycle management and pricing strategies.

The Data Analyst will support product marketing initiatives by analyzing data, tracking KPI progress, developing dashboards, and providing actionable insights to inform decision-making across business units.

The role seeks experienced Data Analysts proficient in Microsoft BI Stack, SQL, and data modeling to develop reports and ensure data integrity.

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.

Gather and analyze business and risk user requirements; produce functional designs and specifications for market risk systems; assess impacts; create and execute test plans (UAT, regression, simulation); support BAU including data sourcing, extraction, and analysis for Market and Liquidity Risk Data Store; manage delivery timelines.

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.

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.

As a Product Data Analyst, you'll manage data analytics, capture user behavior, optimize user experience, and analyze user journeys across SaaS and On-premises offerings.

Support and validate bank data migrations: maintain trackers, perform data validation and reconciliations, manage defect logs, coordinate test data and cutover/mock runs, prepare audit evidence, and produce status dashboards.

Support and validate data migration activities for legacy-to-modern core banking projects: maintain mapping and migration trackers, perform data validation and reconciliations, manage exception logs, coordinate SIT/UAT test data readiness, produce status dashboards, and support cutover/mock runs while ensuring data security and audit artifacts.

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.

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

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.

Perform data review, QA, analysis and release for Comscore's digital media dictionary databases. Investigate and report product issues, support senior analysts and engineers, implement database procedures and quality-control enhancements, manage projects and client communications, and ensure timely, accurate classification structures for India/APAC market data.

As a Junior Data Analyst, you will build data warehouses and dashboards, mentor analysts, and generate insights from data, collaborating with various teams.