Top Data Analyst Jobs in Gurgaon

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.

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

Support development and maintenance of SQL-based data pipelines and analytics workflows. Assist data standardization, build and optimize data models, dashboards, and reports. Perform ad-hoc analyses, monitor data quality, implement validation logic, and collaborate on cross-functional data and risk projects under mentorship.

Leads analysis, mining, modeling, and visualization of large-scale transactional, operational, and customer data. Partners with compliance teams to prioritize analytical use cases, support regulatory requirements, improve business efficiency, and translate complex findings into actionable recommendations. Oversees multidisciplinary analysts, manages stakeholder data requests, assesses business changes, and develops analytical systems using machine learning, big data technologies, and visualization tools.

The Senior Analyst will lead analytics engagements, transforming business problems into structured solutions. Responsibilities include data analysis, developing insights, and supporting dashboard efforts while leveraging emerging technologies.

Support enterprise data governance activation: develop and maintain governance frameworks, manage projects, advise on risk data, monitor data quality, drive compliance, deliver training, and implement governance tools (e.g., Collibra). Collaborate with stakeholders to prioritize critical data elements and resolve data issues.

Partner with business stakeholders to analyze data, build actionable insights, and develop analytical solutions (models, targeting, prioritization) to drive growth for bank partners. Deliver stakeholder-ready reports and visualizations, evaluate business impacts, and collaborate across teams to scale data-driven strategies in a fast-paced environment.

Lead the data solutions strategy for PR&C PSP division, managing data initiatives, teams, and collaborating on analytics projects. Ensure compliance, governance, and optimize data services while communicating technical solutions to stakeholders.

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

The Analyst will lead data analytics for Direct Mail campaigns, driving acquisitions through optimization and machine learning solutions while collaborating with cross-functional teams to meet revenue goals.

Design and scale transportation analytics and tooling to optimize network performance and reduce shipping costs. Build dashboards, routing/ship-speed optimizers, chargeback/dispute systems, and cost benchmarking engines. Deliver predictive and real-time KPIs, automate processes, improve data accuracy, and provide fast ad-hoc decision support for cross-functional stakeholders.

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

Manage data cataloging, classification, master data mappings, and data quality for the actuarial department. Enforce compliance (GDPR/HIPAA/insurance regs), run audits, lead governance projects, train stakeholders on Alation/Excel, and collaborate with IT, data owners, and business leaders to ensure data discoverability and integrity.

Lead development and scaling of analytical solutions supporting marketing targeting, campaign measurement, and investment optimization. Perform audience segmentation, diagnostics, test-and-control analyses, performance tracking, automation, and executive reporting. Translate business questions into structured analyses, generate insights, and provide recommendations to improve marketing effectiveness and merchant growth.

Drive acquisition and growth through customer personalization analytics. Use structured and unstructured data, AI/GenAI, and experimentation to evaluate arbitration frameworks, design tests, measure performance, and recommend investment and treatment optimizations. Partner across marketing, product, technology, and analytics to implement solutions and measure business impact.

Validate and govern Finance & Treasury models (CCAR PPNR, URR, macroeconomic models and Non-Model Tools) through methodology review, independent testing, benchmarking, sensitivity analysis, documentation assessment, remediation tracking, and reporting. Partner with stakeholders for regulatory exams, audits, and continuous improvement of validation methodologies and governance.

Design and maintain scalable data pipelines and curated datasets using EDP and cloud technologies. Build analytical solutions, dashboards, and data models with SQL, BigQuery, Python, and Power BI. Support data quality, governance, metadata, lineage, UAT, and cross-functional stakeholder collaboration to deliver trusted, reusable data products for self-service analytics.

Analyze PB-scale trading, transactional, operational and customer data; build visualizations, ML models and experiments; translate findings into actionable recommendations for trading, operations, product and executives in a fast-paced environment.

Ensure accuracy, completeness, and integrity of Salesforce customer and account data. Build automated validation and enrichment pipelines (SQL/Python), perform large-scale cleansing and deduplication (DemandTools, Data Loader), create monitoring dashboards (Power BI), enforce governance, and apply AI/LLMs to improve matching, classification, and anomaly detection so data never blocks Quote-to-Cash processes.

Lead complex data analysis projects: collect, clean, and analyze large datasets; create dashboards; develop predictive models; and deliver actionable insights to business stakeholders to support decision-making.

The role involves supporting and maintaining the Azure Data Platform by managing incidents, monitoring performance, and optimizing database operations. Responsibilities include troubleshooting ADF, Synapse Analytics, and ensuring data security compliance.

Lead the Data Desk: triage and route L1/L2 requests, perform code reviews for junior analysts, drive automation and self-service dashboards, run daily operations and people development, and ensure data quality and SLA adherence.

Lead marketing measurement: own attribution, incrementality testing, and media mix modeling. Design and analyze experiments, build repeatable templates and self-serve analytics, translate results into budget and growth recommendations, ensure data integrity, and embed AI tools into analysis workflows to measure pipeline and revenue impact.