Top Data Analyst Jobs in Gurgaon

Perform gap analyses across trading data from multiple source systems, identify discrepancies, build automated reports using Python and SQL, create visualizations (Power BI or Python libraries), present findings to stakeholders, and coordinate with upstream/downstream teams to implement logic and document requirements.

The Quantitative Research Consultant will clean and prepare datasets, execute analytical outputs, and collaborate on data processing for research projects.

The Senior Analyst will execute Mastercard's Master Data Management strategy, ensuring data integrity and collaboration across enterprise systems and stakeholders while leading MDM initiatives and governance practices.

Lead business analysis and BI projects: gather requirements, design and deploy reports/dashboards, perform data quality checks, produce analytical findings and presentations, manage clients and teams, and develop AI-powered solutions using no-code/low-code and advanced platforms.

Analyze, map, transform, consolidate, and standardize large-scale data for insurance (P&C) clients. Produce STTM, data lineage, profiling, models, and design/docs; liaise between business and technical teams and gather requirements.

Analyze and interpret large healthcare datasets, build and maintain data pipelines and structures, collaborate with cross-functional teams to deliver actionable insights, and document data processes and analyses.

Analyze large healthcare datasets to extract insights, build data models, reports and dashboards, ensure data quality, collaborate with cross-functional teams, and present findings to stakeholders.

Lead business analysis and BI projects, interact with stakeholders to gather requirements, design and deliver reports/dashboards using Tableau/Power BI, perform data quality checks, apply descriptive analytics techniques, develop AI-powered solutions with no-code/low-code platforms, manage projects and client relationships, and produce presentations for internal clients.

Act as liaison between business and technical teams to profile, map, transform, and standardize large-scale insurance data. Create BRDs, STTM (source-to-target) mappings, lineage and design documents, and perform data profiling to ensure data quality across policy, claims, and reinsurance lifecycles.

Senior individual contributor delivering advanced HR reporting, analytics, and dashboards using UKG, Cognos, and Power BI. Translate business requirements into scalable reports, ensure HR data accuracy, create executive visualizations, partner with HR Business Partners, and support HRIS reporting processes and data validation.

Lead Data Analyst responsible for translating business requirements into analytical solutions, performing A/B and sales funnel analyses, building reports and automations, managing intake/prioritization, documenting processes, coordinating with stakeholders, and delivering actionable insights to support reporting, model validation, and operations.

Lead Data Analyst responsible for managing intake and prioritization, translating business requirements into analytical solutions, performing A/B test and sales funnel analyses, developing and automating reports using Python and SQL, documenting processes, coordinating with US and internal teams, and delivering actionable insights to drive product and process improvements.

Build and maintain Power BI dashboards and predictive forecasting models that transform cloud and on‑prem infrastructure metrics into actionable capacity-planning insights. Query and blend data from billing, monitoring tools and APIs, forecast resource demand, monitor KPIs, identify risks, and produce executive reports to guide optimization and cloud spend.

Analyze complex internal and external data to build, validate, and monitor quantitative decision models; perform sensitivity and scenario analysis; ensure data quality; present actionable insights to stakeholders; lead or mentor analysts and support cross-functional analytics integration.

Build and maintain BI and analytics solutions, delivering interactive Power BI dashboards and reports. Translate business requirements into data models, SQL-based solutions, and actionable marketing analytics insights. Serve client-facing stakeholders across end-to-end BI development, data warehousing, and reporting.

The Data Analyst will collect, clean, and analyze data, design advanced models, support strategic projects, and communicate findings within biopharmaceutical contexts.

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.

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

Collect, clean, and analyze large datasets to extract insights. Create reports and dashboards, perform statistical analysis, and collaborate with stakeholders to support decision-making.

Support data collection, cleaning, preprocessing, analysis, and reporting. Assist in creating data models and reports to inform business decision-making.

Lead people data governance efforts: define and enforce data quality standards, manage data lineage and catalogs, implement governance tools and monitoring, standardize BI/dashboard practices, and collaborate with business partners to ensure secure, accurate, and compliant people data for reporting and decision-making.

Implement and maintain SQL and Power BI solutions; translate business needs into data tasks; ensure data quality and validation; create data models and semantic layers; build client-ready dashboards and reports; automate workflows using Power Apps and Power Automate; liaise with stakeholders to define reporting requirements.

Serve as liaison between business and technical teams to gather requirements, profile and standardize data, perform data mapping, transformations and consolidation, document data lineage and models, and support insurance (P&C) policy, claims and reinsurance data initiatives.

Early-career platform engineer supporting development and maintenance of cloud infrastructure. Support automation of deployments, monitoring, and scaling; troubleshoot with senior engineers; apply DevOps practices; document configurations and participate in code reviews and team learning.

Validate datasets and tables produced by upstream data teams using SQL. Perform table-level source vs output checks, identify data anomalies, drive issue resolution, and collaborate with data teams to confirm expected outputs and business logic.