JD: Pay Analytics Pay is one of the most critical and engaging functions in Airtel's overall vision for financial services. Through UPI, BBPS and Checkout, it is a high-frequency, high-volume touchpoint with customers, which makes it central to building engagement and trust across Airtel's financial services portfolio. Getting data and analytics right for Pay directly shapes how fast the business can learn, improve and grow.

Key responsibilities
• Design the analytics architecture: event taxonomy and tracking framework, data model, metrics definitions and reporting layer across bank backend, clickstream and Darts 2 data.
• Build the architecture to handle UPI-scale data volumes, with performance, cost and data quality built in.
• Define and run the analytics roadmap across the three products, prioritized against product plans for the quarter.
• Own stakeholder management with product heads, central teams and LOBs: align on tracking, data definitions and ownership, especially for Checkout, which spans multiple LOBs.
• Set the standard for funnel analytics: end-to-end visibility and drop-off diagnosis,



starting with BBPS and Checkout and deepening UPI coverage.
• Lead advanced analytics: predictive models, personalization use cases and competitor benchmarking. Requirements
• 3-4 years in product or digital analytics, with experience owning an analytics workstream and mentoring analysts.
• Demonstrated experience designing analytics architecture: tracking frameworks, data models and metrics layers, ideally as a rebuild rather than an incremental change.
• Experience working with high-volume, large-scale data; payments, banking or fintech background preferred, with UPI or BBPS exposure a plus.
• Solid stakeholder management: has aligned product, central teams and business units on shared definitions and priorities, and can influence without authority.
• Hands-on with SQL and a clickstream or product analytics tool; working knowledge of Python.
• Exposure to predictive modelling or personalization is a plus.
• Comfort stitching together data from multiple systems with different owners and quality levels.

📌 Senior Data Analyst- Pay (Gurugram)
🏢 Airtel
📍 Gurugram