Top Data Analyst Jobs in Gurgaon

Design, build, and maintain scalable data pipelines and semantic data models in dbt and Snowflake. Profile and ingest client data, implement data quality testing and version control, and enable self-service analytics via Tableau. Collaborate with stakeholders to deliver reporting and analytic solutions, and support ML/NLP initiatives.

Manage daily Data team operations, research and analyze datasets, build internal and external reports (including an annual Startup Ecosystem Ranking), and maintain/improve Python scripts and data infrastructure to deliver actionable insights.

Lead enterprise data governance, quality, and analytics initiatives across business functions and geographies. Define data strategies, run data discovery and root-cause analysis, implement data quality metrics and remediation, support S/4 HANA migrations, and enable trusted data for analytics and digital platforms while influencing cross-functional stakeholders and driving measurable process and data improvements.

Lead data governance and analytics workstreams to improve master and transactional data quality across ERP systems (SAP ECC/S4 HANA), drive process efficiency (Quote-to-Cash, Plan-to-Produce, Source-to-Pay, Record-to-Report), implement data quality metrics and remediation, enable data migration and integration, and present insights to influence cross-functional stakeholders and leadership.

Perform back-office data analysis and reporting for AMER business using SQL and Python. Build, maintain, and automate reports/tools (Tableau, Python), troubleshoot issues, conduct root cause analysis, and scale analytics and processes across teams.

Analyze large-scale datasets to generate actionable business insights, define and monitor KPIs, build dashboards and automated reports, maintain data pipelines, and investigate anomalies across ad delivery, bidding, monetization, campaigns, traffic quality, and platform performance. Collaborate with product, engineering, operations, and business teams to support strategic and real-time decisions.

Extract, clean, and analyze large datasets using SQL and Python; build dashboards and visualizations; provide insights to Tech, Product, Operations and Business teams; write optimized SQL; use Python libraries for automation and analytics; ensure data accuracy and optimize workflows.

Support EMEA Distribution by transforming client data, delivering commercial insights, building stakeholder relationships, driving data governance, automating processes, and developing AI-enabled analytics to improve decision-making and productivity.

Support EMEA Distribution by transforming and governing client data, delivering analytics and AI/automation initiatives, generating commercial insights, forecasting, and engaging stakeholders to prioritise and implement high-impact data solutions.

Maintains and updates candidate data in a proprietary database for executive search. Responsibilities include coding and categorizing information, creating profiles, verifying qualifications, transferring confidential data, responding to client queries, and creating reports and dashboards. The role requires strong attention to detail, quality focus, communication, internet research, business knowledge, and proficiency in Excel, Advanced Excel, VBA, and macros. The position operates onsite in Gurgaon across morning and evening shifts.

Perform advanced data coding, matching, transformation, quality checks, and stakeholder-requested dataset audits. Own production workflows, trackers, documentation, SLA-based delivery, and issue resolution through root cause analysis. Coordinate and mentor junior analysts, audit team outputs, communicate with stakeholders, and implement process improvements that enhance data integrity, quality, and operational reliability.

Supports client operational and analytical processes by executing procedures, validating deliverables, identifying process improvements, coordinating stakeholders, testing updated workflows, documenting operational models, researching issues, and investigating client questions. Collaborates with senior analysts, delivery leads, engineering teams, and internal stakeholders to provide accurate, timely client results across multiple tasks and time zones.

Supports client operations through data analysis, process execution, quality validation, reporting, secondary research, and investigation of client questions. The role coordinates stakeholders across time zones, documents and tests operational procedures, identifies process improvements, and collaborates with engineering and delivery teams to ensure accurate, timely client deliverables.

Lead complex data analysis projects by collecting, cleaning, and analyzing large datasets. Create dashboards, develop predictive models, and interpret findings to provide actionable insights that support business stakeholder decision-making.

Lead analytics to improve player experience, engagement, retention, and monetization. Analyze player lifecycle, run cohort and funnel analyses, design and evaluate A/B tests, build dashboards, define product metrics, investigate KPI changes, and partner with product, marketing, engineering, and data teams to deliver data-driven recommendations and improve 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.

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.

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.

Analyze customer operations and collections data to produce accurate recurring reports and interactive Power BI dashboards. Identify trends, risks, and opportunities, support process improvements and strategic projects, ensure data quality and governance, and translate stakeholder requirements into analytical solutions to improve customer outcomes and performance.

Performs advanced data coding, matching, transformation, quality checks, and stakeholder-requested dataset audits. Owns production workflows, trackers, documentation, SLA-based delivery, issue resolution, and root cause analysis. Coordinates and mentors junior analysts, audits team outputs, improves processes, and supports accurate market insights reporting through stakeholder communication and presentation.

Design, build, and govern HSW data solutions and analytics; deploy AI and automation into HSW processes; produce Power BI dashboards and regular reports; support Cority operations; drive data strategy, governance, and actionable insights to improve safety and operations.

Lead complex data analysis projects by collecting, cleaning, and analyzing large datasets. Create dashboards, develop predictive models, and translate findings into actionable insights to support business stakeholder decision-making.

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.

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.