Senior Data Analyst

About the job

About EdenredEdenred is a leading digital platform for services and payments and the everyday companion for people at work, connecting more than 60 million users and more than 2 million partner merchants in 45 countries via 1 million corporate clients.Edenred offers specific-purpose payment solutions for food (such as meal benefits), engagement (such as gift cards and engagement platforms), mobility (such as multi-energy solutions, including EV charging, maintenance, toll and parking) and corporate payments (such as virtual cards).Our 12,000 employees are committed to making the world of work a better place for all, one that is safer, more efficient and more user-friendly. At Edenred, our passion for customers, respect, imagination, simplicity and entrepreneurial spirit are our values. In 2024, the Group managed 45 billion in business volume, primarily carried out via mobile applications, online platforms and cards.Edenred India is an established player in providing platform and non-platform solutions in the space of Loyalty, Rewards and Employee Engagement. Our platform solutions are used by clients to manage their channel, customer & employee reward programs, helping our customers improve sales, product usage and improve Employee retention. THE ROLEAs a Senior Data Analyst, you will be responsible for designing, building, and maintaining insightful dashboards and reports that inform decision-making across the organization. You will work closely with stakeholders across Product, Technology, Operations, and Business teams to understand problem statements and translate them into impactful, data-driven visualizations.

KEY RESPONSIBILITIES

• Partner with business stakeholders to understand analytical needs and define KPIs.
• Build end-to-end dashboards and visualizations using Power BI, including advanced 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 (Data Governance).
• Handle complex joins, window functions, CTEs, and performance tuning in SQL.