Senior Business Analyst

Role: Data Analyst Experience: 6+ Years Location: Gurgaon (Work form office 2 days in a Week)

Key Responsibilities:

• Work with large transactional datasets to perform deep-dive analysis and generate insights.
• Write and maintain complex SQL queries, stored procedures, and scripts.
• Optimize queries using performance tuning techniques and SQL best practices.
• Work extensively with Window Functions, Joins, CTEs, Subqueries etc.
• Collaborate with cross-functional teams to understand data needs and deliver analytical outputs.
• Ensure data quality, accuracy, and availability for reporting and dashboards.
• Perform query optimization and improve overall database/data process performance.
• Build reusable data models, datasets, and analytical frameworks.

Required Skills:

• 5–10 years of experience as a Data Analyst / SQL Developer.
• Strong expertise in working with Transactional Data.
• Excellent command over SQL, including Window Functions, CTEs, Aggregations, and complex logic building.
• Proven experience in Performance Tuning & Query Optimization.
• Strong analytical thinking and problem-solving abilities.
• Good understanding of relational database concepts and data warehousing fundamentals.
• Exposure to BI/reporting tools is an added advantage.

At least 5–10 years of experience as a Data Analyst / SQL Developer.

• Strong expertise in working with Transactional Data.
• Excellent command over SQL, including Window Functions, CTEs, Aggregations, and complex logic building.
• Proven experience in Performance Tuning & Query Optimization.
• Strong analytical thinking and problem-solving abilities.
• Good understanding of relational database concepts and data warehousing fundamentals.
• Exposure to BI/reporting tools is an added advantage.

• Work with large transactional datasets to perform deep-dive analysis and generate insights.
• Write and maintain complex SQL queries, stored procedures, and scripts.
• Optimize queries using performance tuning techniques and SQL best practices.
• Work extensively with Window Functions, Joins, CTEs, Subqueries etc.
• Collaborate with cross-functional teams to understand data needs and deliver analytical outputs.
• Ensure data quality, accuracy, and availability for reporting and dashboards.
• Perform query optimization and improve overall database/data process performance.
• Build reusable data models, datasets, and analytical frameworks.