Senior Data Analyst

Job Description

Job Title: Senior Data Analyst Location: Gurgaon Sector-34 Employment Type: Full-Time We are seeking a highly motivated Senior Data Analyst to join our team. In this role, you will write complex SQL queries to power analytics dashboards and collaborate with cross-functional teams Product Managers, Solution Architects, and Data Engineers to deliver end-to-end analytics solutions. The ideal candidate is skilled in translating business requirements into technical insights, ensuring that data is readily available and consumable for reporting and decision-making. Key Responsibilities Analytics Dashboarding Write and optimize SQL queries to support real-time analytics dashboards and reporting solutions. Conduct data validation and troubleshooting issues related to data accuracy and integrity. Cross-Functional Collaboration Work closely with Product Managers and Solution Architects to identify customer analytics needs and define project scope. Partner with Data Engineers and other technical teams to ensure data is accessible, reliable, and aligned with business requirements. Data Management Delivery Collaborate with stakeholders to gather, document, and prioritize analytics requirements. Define data requirements for data pipelines, ensuring end-to-end delivery of analytics solutions. Performance Optimization Implement best practices in query optimization to handle large, complex data sets. Monitor and enhance the performance of analytical processes and data models. Data Quality Governance Establish and maintain data quality metrics and governance standards. Identify data gaps and work with engineering teams to implement corrective actions. Reporting Insights Develop and maintain dashboards, reports, and ad hoc analyses to inform business decisions. Translate findings into actionable recommendations and present them to stakeholders at various levels. Qualifications Skills Education: Bachelor s or master s degree in computer science, Information Systems, Statistics, or a related field. 4-5 years of relevant experience. SQL Expertise: Advanced SQL skills with a proven track record of writing, optimizing, and troubleshooting complex queries. Knowledge of programming languages used for data manipulation. Data Analysis Tools: Experience working with cloud data warehouses (e.g., BigQuery, Snowflake) and Data visualization tools (e.g., Power BI, Metabase etc). Collaboration: Strong communication and interpersonal skills for working with Product Managers, Solution Architects, and technical teams. Business Acumen: Translating business questions into technical requirements and analytical outputs. Problem-Solving: Demonstrated capacity to handle large data sets, uncover insights, and make data-driven recommendations. Agile Mindset: Familiarity with Agile methodologies, sprint planning, and iterative development cycles.