Top Data Analyst Jobs in Gurgaon

Lead Data Analyst will handle business analysis requests, create analytical findings, design reports and dashboards, and ensure data quality using Tableau and Power BI.

The Lead Data Analyst will work on business analysis, develop analytical findings, interact with users to understand requirements, manage project plans, create reports and dashboards, and ensure data quality for clients.

As a Senior Data Analyst, you'll implement data governance policies, ensure data quality, maintain data catalogs, and utilize BI tools for strategic decision-making.

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.

The Senior Reinsurance Data Analyst optimizes reinsurance processes by leveraging data analysis, AI tools, and process improvements while ensuring accuracy and efficiency.

The Lead Reinsurance Data Analyst will oversee reinsurance operations, ensuring data integrity, compliance, and process improvements while leveraging business intelligence and AI tools for operational efficiency.

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 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.

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

The Data Analyst will drive IT support automation, design monitoring workflows, collaborate on requirements, and enhance application performance using various technologies.

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.

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

Manage the data lifecycle, perform analysis and visualization, ensuring data accuracy and uncovering insights to support eCommerce goals.

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

The Data Analyst generates and manages data for reports, oversees coding teams, ensures quality standards, and contributes insights for report production.

The Senior FinOps Data Analyst will analyze Cloud Service usage and revenue data, creating actionable insights and reports using tools like PowerBI, SQL, and Python, while leading and mentoring junior team members.

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.