Top Data Analyst Jobs in Gurgaon

Design and optimize SQL scripts, develop Java applications and APIs, lead collaboration sessions, and ensure solutions adhere to RDBMS principles.

The Business Data Analyst II will design and optimize SQL and PL/SQL scripts, develop Java applications and RESTful APIs, gather requirements, and ensure solutions maintain data integrity and security.

The Associate Analyst will develop data quality dashboards, perform data analysis using SQL, automate data pipelines, and collaborate with technical teams to monitor performance.

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.

Lead business analysis activities in Agile environments, define clinical data solutions, guide requirements for clinical systems, and support stakeholder collaboration and project management.

The Paymode Data Analyst will manage analytics and toolkit development for strategic programs, using Power BI to create effective dashboards and contribute to revenue operations.

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 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 Senior Data Analyst will provide data-driven insights for HR, support data governance processes, and develop dashboards to aid decision-making across the organization.

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 Systems Data Analyst will connect business requirements with technology solutions, automate processes, enhance systems, and develop dashboards using Power BI and SQL. Responsibilities include user training, support, and collaborating with cross-functional teams to deliver actionable insights and improve data quality.

The Data Analyst will collect, clean, and analyze data, design advanced models, support strategic projects, and communicate findings within biopharmaceutical contexts.

The Quality Analyst will manage data migration projects, troubleshoot IPMS configuration issues, conduct portfolio audits, and ensure project quality and client satisfaction.

Perform ad-hoc and end-to-end analyses, translate business questions into metrics/KPIs, build dashboards/alerts, optimize BigQuery SQL and data models, monitor metrics and anomalies, and collaborate with Product and Data Engineering to ensure tracking, data contracts, and quality for self-service and AI-driven analytics.

The Sr Data Analyst will analyze data to support decision-making and improve sales performance through reporting dashboards and collaboration with business leaders.

The Data Analyst will analyze datasets, utilize AI for data exploration, automate reporting, perform web scraping, create visualizations, and collaborate with teams to provide insights for content studies.

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

The role involves designing, developing, and implementing statistical and machine learning models for decision-making, as well as mentoring team members and managing data strategies.

The Senior Data Analyst will migrate data to a Snowflake data lake, develop data models, and create dashboards while delivering actionable insights to stakeholders.

The role entails supporting Data and Analytics Scrum teams by analyzing technical and business data requirements, collaborating across teams, and ensuring data integration and product implementation.

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.

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 Strategic Data Analyst II will build and maintain scalable data models in Snowflake, focusing on market intelligence and pricing strategy while collaborating with various stakeholders to deliver actionable insights.

The role involves data management, transformation, analysis, and visualization, focusing on tool implementation and monitoring. Tasks include data integration, pipeline management, exploratory analysis, business reporting, KPI tracking, and data storytelling.