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.

Perform data collection, cleaning, EDA, reporting, and dashboarding using SQL, Python, and visualization tools. Support basic machine learning model development, evaluate LLMs for data tasks, and collaborate with stakeholders to deliver insights and production-ready analytics.

Perform ad-hoc analytics and reporting, translate business requirements into solutions, develop predictive models as needed, build and execute reports, communicate results to stakeholders, and maintain quality standards while collaborating with US counterparts and internal teams.

Perform ad-hoc analytics and reporting, translate business requirements into solutions, develop predictive models as needed, execute reports for tracking and model validation, communicate results to stakeholders, coordinate with US counterparts, and maintain quality standards.

Support the Advisor Analytics team by collecting, cleaning, and analyzing large datasets, performing EDA, developing dashboards (Tableau/Power BI), assisting with basic ML models, evaluating LLM use cases, and collaborating with business and tech stakeholders to deliver insights and BAU projects.

Collaborate with stakeholders to translate analytics requirements into user stories. Build data pipelines and optimize data solutions for procurement analytics. Ensure data quality and compliance while developing reporting tools and enhancing performance. Foster teamwork through design discussions and code reviews.

The Senior Staff Data Analyst will partner with stakeholders on analytics requirements, optimize data pipelines, design data models, and enhance data solutions while ensuring compliance and data quality.

Perform ICIMS data updates, query handling, report creation and resume updates. Coordinate with GRM and onshore counterparts, prepare presentations and manage multiple Excel/PPT reports. Work overlapping EST shift; macros knowledge is a plus.

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.

Perform deep-dive analytics using advanced SQL to analyze customer behavior, redemptions, and campaign performance. Build data validation frameworks, ensure accuracy of loyalty and financial metrics, and collaborate with Product, Marketing, and Engineering to validate feature rollouts and deliver data-driven insights.

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.

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.

Perform deep-dive analyses and root-cause investigations across large datasets to identify complaint drivers and systemic issues. Build data pipelines, models and dashboards, apply advanced analytics/ML, translate insights into actionable recommendations, ensure regulatory compliance, and embed changes with stakeholders to improve customer outcomes.

Analyze transaction data using SQL and Excel to detect banking fraud patterns, produce reports with insights and recommendations, collaborate with clients to resolve fraud issues, ensure compliance, and manage multiple priorities during evening shifts with high accuracy.

Match products from receipts and websites to brands and categories using a proprietary platform. Research products online, ensure data accuracy, support multiple verticals, and meet deadlines. Work afternoons (3:00 pm–11:30 pm IST) and communicate in French and English.

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.

Collect, clean, and validate data from multiple sources; analyze trends and KPIs; prepare reports and dashboards; support BI development; perform ad-hoc analyses; ensure data integrity and documentation; collaborate with stakeholders to improve operational performance.

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.

Design, build, and operate Azure/Databricks lakehouse pipelines (batch and streaming) with governance, data quality, observability, and cost controls. Model curated datasets and semantic layers in Power BI, manage PostgreSQL replication/CDC to lakehouse/Synapse, enforce security/compliance, and collaborate with product owners and data stewards to certify enterprise datasets.

Design and operate an Azure + Databricks lakehouse; build batch and streaming ingestion pipelines with CDC, automated data quality, CI/CD and observability; model curated datasets and semantic layers for Power BI; enforce security/compliance controls and cost optimization; collaborate with product owners and data stewards.

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.

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.