Top Data Analyst Jobs in Gurgaon

Design, develop, and maintain enterprise BI solutions and dashboards across IBM Cognos Analytics and Microsoft Power BI. Translate business requirements into semantic models, build/optimize datasets using star/snowflake schemas, develop complex Cognos reports (prompt pages, drill-through, bursting, scheduling), perform data modeling, validation, and performance tuning for large, regulated healthcare datasets.

The Data Integration Analyst manages data integration and reporting activities in Oracle Cloud HCM, utilizing SQL and BIP reporting expertise for data migration and compliance.

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

The Senior Network Data Analyst will design and maintain data architecture for network consolidation, standardizing legacy data into a unified model, resolving data anomalies, and ensuring data integrity for automation pipelines.

The Data Analyst Lead will oversee business-critical data management, design dashboards, automate reporting, analyze performance metrics, and lead a team of analysts to drive data-driven decisions across Revenue, Operations, and GTM functions.

Perform analytics and data modeling using cloud and database platforms; design modeling studies, address data quality, construct analytical datasets, and communicate results to mid/senior management. Learn healthcare and digital marketing data toolsets and apply statistical/datamining techniques.

Collect, clean, and analyze structured and unstructured data using SQL and MongoDB. Build dashboards and visualizations, ensure data quality, collaborate with cross-functional teams, and support predictive models and data pipelines to inform business decisions.

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.

Support delivery of digital products and data-driven consulting engagements: analyse operational data, build dashboards and reports, enable automation, assist implementation and client adoption, and contribute to Agile delivery and quality assurance.

The Data Analyst will perform ad-hoc business analysis, develop predictive models, and translate business requirements into actionable solutions, while collaborating with internal and external teams.

The Data Analyst will work with internal teams to analyze business requirements, develop predictive models, and deliver complex analytics and reporting solutions.

The Data Analyst will manage data loads, support data updates, resolve CRM data issues, and collaborate with various teams to ensure data readiness.

Extract, analyze, and visualize product and customer data from the data warehouse using SQL and ETL processes. Build dashboards and reports, support A/B testing and statistical analyses, maintain ETL pipelines and databases, and collaborate with cross-functional teams to convert insights into product recommendations.

Analyze large, high-dimensional datasets to derive insights, build Power BI visualizations, configure and maintain Denodo metadata, interface with Azure data services and ServiceNow, troubleshoot data issues, support cross-functional stakeholders, and help automate and improve data analysis processes.

Own end-to-end product analytics projects: define metrics with product managers, build dashboards, perform SQL-based analysis and QA, document datasets and models, and deliver actionable insights to influence product decisions.

Design, develop, and support dashboards, reports, and data models; prepare and transform data; ensure data quality and governance; partner with stakeholders to deliver end-to-end analytics solutions and drive process improvement.

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 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.

The role involves analyzing quantitative research data, creating visual outputs, and collaborating with researchers to ensure project quality and timelines. Candidates should have a strong foundation in quantitative research and data visualization.

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.

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.

The Senior Analyst will develop and implement Master Data Management (MDM) strategies, ensuring data integrity and collaboration with business and IT stakeholders while overseeing data governance practices.

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.