Data Analyst - Campaigns & Insights (Collections BFSI)

Overview about the company: It is one of India's leading non-banking finance companies. Focused on the rural and semi-urban sector, the Company has over 9.3 million customers and has an AUM of over USD 11 Billion. The company is a leading vehicle and tractor financier and also offers other products like Fixed Deposits and SME Loans. The company has over 1,367 offices and reaches out to customers spread over 3,80,000 villages and 7,000 towns across the country. It is the only Non-Banking Finance Company from India to be listed on the Dow Jones Sustainability Index in the Emerging Market Category 2019. 1. Job Purpose Statement We are looking for a highly skilled Campaign Analytics & Insights Analyst to join our Collections Analytics team within BFSI. This role is pivotal in driving data-led collections outcomes by enabling campaign planning, execution, performance analytics, and insight generation across digital and assisted channels. The incumbent will work closely with Collections Business, Strategy, and Execution teams to translate business objectives into data-driven segmentation, targeting, prioritization and experimentation frameworks. The role demands strong hands-on capabilities in SQL-based data mining, Python / PySpark, and a modern analytics workflow that leverages AI coding assistants/GenAI capabilities to improve productivity, code quality, and speed of delivery. The candidate should be comfortable with AI/ML concepts and apply these concepts in practical collection use-cases such as roll-rate management, cure strategies, contactability improvement, and allocation optimization. 2. Duties & Responsibilities a. Campaign Planning & Execution (Collections) - Design and execute collections campaigns with targeting and segmentation logic - Manage campaign cohorts such as early bucket, PTP recovery, roll-back prevention - Own end-to-end campaign analytics including base creation and execution tracking - Drive A/B testing and champion-challenger frameworks b. Data Mining, Engineering & Analysis - Perform deep-dive data mining using SQL across collections and customer datasets - Develop and optimize scalable data transformations using Python / PySpark - Build reusable analytical pipelines for campaign base creation and tracking - Ensure data quality through validations and automated monitoring c. Performance Measurement & Insights Generation - Build measurement frameworks for campaign effectiveness (cure rate, roll rate, etc.) - Generate actionable insights and recommend optimization strategies - Translate findings into business decisions and improvements d. AI/ML & GenAI-enabled Delivery - Apply AI/ML models for collections targeting and prioritization - Use AI tools for coding productivity and automation - Collaborate with Data Science teams for model deployment e. Collaboration & Stakeholder Management - Work with Collections, Tech, Risk, and Operations teams - Present insights to stakeholders in a clear and structured manner - Ensure compliance with BFSI data governance policies 3. Key Challenges - Understanding complex collections processes and customer journeys - Measuring campaign incrementality and true impact - Delivering speed with accuracy in execution - Managing multiple stakeholders and priorities 4. Decision Making Authority - Manage day-to-day analytics and campaign execution independently - Strategic decisions to be aligned with leadership 5. Stakeholders - Internal: Collections, Risk, Data Science, IT, Product - External: Vendors, Agencies, Technology partners 6. Organisational Relationship (Head Collections Analytics / Department Head Data Science) Campaign Analytics & Insights Analyst 7. Job Requirements Professional Qualification - MBA (Data science integrated courses) or Data Science / Engineering from reputed institute - 3 5 years of experience in BFSI (Collections) - Proven track record in campaign analytics and insights Knowledge - Strong understanding of collections lifecycle and metrics - Familiarity with analytics workflow and AI/ML concepts - Exposure to GenAI tools for productivity Skills - Advanced SQL and data mining - Strong Python / PySpark skills - Campaign analytics and experimentation - Stakeholder communication Overview about the company: It is one of India's leading non-banking finance companies. Focused on the rural and semi-urban sector, the Company has over 9.3 million customers and has an AUM of over USD 11 Billion. The company is a leading vehicle and tractor financier and also offers other products like Fixed Deposits and SME Loans. The company has over 1,367 offices and reaches out to customers spread over 3,80,000 villages and 7,000 towns across the country. It is the only Non-Banking Finance Company from India to be listed on the Dow Jones Sustainability Index in the Emerging Market Category 2019. 1. Job Purpose Statement