Senior Data Analyst @ GreyOrange

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

1. 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.

1. 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.

1. 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.

1. 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.

1. Data Quality Governance
• Establish and maintain data quality metrics and governance standards.
• Identify data gaps and work with engineering teams to implement corrective actions.

1. 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.