Senior Data Analyst

Job Summary

As a Senior Data Analyst, you will be responsible for designing, building, and maintaining insightful dashboards and reports that inform decision-making across the organization. This role requires collaboration with stakeholders in Product, Technology, Operations, and Business teams to understand problem statements and translate them into impactful, data-driven visualizations.

Responsibilities

• Partner with business stakeholders to understand analytical needs and define Key Performance Indicators (KPIs).
• Build end-to-end dashboards and visualizations using Power BI, including advanced Data Analysis Expressions (DAX) functions and data models.
• Write efficient, production-grade SQL queries to extract, analyze, and validate large data sets across multiple sources.
• Convert ambiguous business questions into structured data analysis frameworks and reporting solutions.
• Identify key trends and insights that can influence business decisions.
• Maintain high standards in data integrity, documentation, and reproducibility.
• Help define and evolve internal data practices and reporting frameworks.
• Collaborate with cross-functional teams to build data pipelines and ensure data availability.
• Communicate insights effectively to both technical and non-technical stakeholders.
• Ensure all outputs meet standards for accuracy, consistency, and compliance with Data Governance.
• Handle complex joins, window functions, Common Table Expressions (CTEs), and performance tuning in SQL.
• Develop scalable reporting systems that grow with evolving data and business requirements.

Qualifications

• 3–8 years of experience in data analytics, business intelligence, or a similar role.
• Expert-level proficiency in SQL, able to handle complex joins, window functions, CTEs, and performance tuning.
• Deep expertise in Power BI, including DAX, Power Query, and data modeling.
• Strong analytical mindset and business acumen.
• Experience working with large datasets and data from multiple sources.
• Excellent communication skills; able to explain technical concepts to non-technical stakeholders.
• Highly detail-oriented with a passion for clean, compelling visualizations.
• Comfortable working independently in a fast-paced, ambiguous environment.
• Familiarity with Agile processes and tools such as Jira and Confluence.
• Experience in the Payments, Loyalty, or Employee Engagement industries is a plus.

Preferred Skills

• Experience working in a Multi-National Corporation (MNC) setup (global stakeholders, processes, and compliance).
• Exposure to data pipeline development and Extract, Transform, Load (ETL) processes for integrating multiple data sources.
• Relevant certifications in data analytics or business intelligence (e.g., Microsoft Certified: Data Analyst Associate / Power BI certifications).
• Experience with version control systems (e.g., Git) and integrating analytics workflows into collaborative development environments.
• Experience with Azure Data Platform and Azure Data Factory pipelines.