Top Data Analyst Jobs in Gurgaon

Analyze large healthcare datasets, build and automate dashboards, extract and model data using SQL and Excel, generate predictive and diagnostic insights, present recommendations to stakeholders, and support process and data-pipeline improvements.

Analyze complex datasets, write SQL queries, build and maintain Tableau dashboards, validate and transform data, design data pipelines with Snowflake or IBM DataStage, document processes and flows in Visio, and communicate insights to stakeholders.

The Data Analyst II specializes in data governance, ensuring data quality, implementing frameworks, and collaborating with teams to manage data standards and metrics.

Partner with GTM teams to design insights, build data products and dashboards, drive data governance and quality, scope large analyses, and communicate findings to improve customer retention and growth.

Perform ad-hoc analytics and reporting, translate business requirements into solutions, develop reports and predictive models, validate models, communicate findings to stakeholders, coordinate priorities and maintain quality standards.

Perform ad-hoc analytics and reporting, translate business requirements into solutions, develop predictive models as needed, build and execute reports, coordinate with stakeholders, and communicate findings and recommendations while maintaining quality standards.

Perform advanced analysis on large datasets, build data pipelines and validated models, create interactive dashboards, investigate data quality/lineage, and translate insights into actionable business recommendations. Lead or coach team members and influence stakeholders to improve operations and controls.

The Data Analyst will collect, clean, and analyze data, develop dashboards, and support machine learning model implementation, working with business leaders to deliver insights.

The Sr Data Analyst will drive data quality and governance by implementing frameworks, collaborating with teams, and analyzing data integrity. Responsibilities include establishing metrics, developing reports, and supporting data management tools.

Join the Supply Chain Operations team to build scalable SQL-based reporting and Power BI dashboards, investigate and resolve inventory data issues, run root-cause analysis, monitor KPIs, develop Python/Azure notebooks to fill data gaps, and partner with cross-functional stakeholders to drive operational improvements and reduce manual work.

The Senior Data Analyst will define source data, ensure data consistency, manage data migrations, and assist stakeholders in delivering strategic solutions in the financial services sector.

The Data Analyst II will develop complex data models, analyze datasets, create dashboards, and collaborate with teams for data-driven insights.

The Senior GTM Data Analyst will lead analytics projects, develop dashboards, and provide insights to drive growth at ClickUp, mentoring junior analysts and collaborating with various teams.

The GTM Data Analyst will create visualizations and reports, analyze data, collaborate with cross-functional teams, and provide insights to drive growth at ClickUp.

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.

Support SAP master data standardization and conversion for manufacturing: analyze master and transactional data, cleanse and map data, validate and reconcile post-conversion, support mock conversions and test cycles, document data standards and mapping, and collaborate with SAP functional teams and U.S. plant stakeholders.

The Market Data Analyst will research, analyze, and manage static data for various asset classes, maintaining accuracy and responding to client queries within defined SLAs.

The Senior Internal Audit Data Analyst develops data and reports for Internal Audit projects, conducting complex data analytics and creating visual reports to support effective decision-making. The role requires collaboration with stakeholders and oversight of data management processes.

The Business Data Analyst transforms marketing performance data into actionable insights, ensuring clarity of metrics across client engagements to drive informed decisions and optimize strategies.

Develop and apply advanced statistical models, use data to guide decisions, and communicate results to clients while mentoring Associates.

The Senior Data Analyst role involves transforming complex data into insights, collaborating with teams, and utilizing SQL and Python for data analysis and visualization.

The Senior Data Analyst will analyze large datasets, build visualizations, collaborate with teams, and support data-driven decision-making using SQL, Python, and AI.

Lead analytics efforts to build and validate predictive models, partner with business leaders and data engineers, analyze large datasets to produce insights, implement cross-organizational initiatives, and communicate findings to influence stakeholders.

Support Global Master Data Management by processing and validating master data requests across Material, Customer, Supplier, Finance and Pricing. Identify and resolve data quality issues, maintain standards, contribute to process improvements, and collaborate cross-functionally while working European hours.

The Quality Analyst will research, validate, and maintain data records in Zendai, ensuring accuracy and consistency of information. Responsibilities include auditing projects, managing duplicates, and providing data quality support across global teams using MS-Excel.