Business Data Analyst - Collections Strategy & Performance

About the Company

Revfin is an innovative digital lending platform at the forefront of transforming sustainable mobility and promoting financial inclusion in India. Founded in 2018, Revfin provides accessible and convenient financing for electric vehicles through Aristo Capital, its own RBI-registered NBFC, leveraging advanced technologies such as biometrics, psychometrics, and gamification to assess creditworthiness using alternative data sources. With a robust digital infrastructure and IoT-enabled vehicle monitoring, Revfin empowers drivers to optimize their productivity and earnings. While it began by financing electric three-wheelers (E3Ws), Revfin has since expanded its scope to include a broad range of electric vehicles such as e2Ws, e4Ws, e-trucks, e-buses, batteries, and charging stations, offering comprehensive loan solutions across first-mile, mid-mile, and last-mile mobility use cases. Complementing its lending services, Revfin also offers insurance through its IRDAI-approved broking arm, Revfin Insurance Broking Private Limited, under the brand Revfinsure.

Role :

Business Data Analyst – Collections Strategy & Performance Location : Delhi Experience : 4–6 years Department : Collections / Risk / Strategy Employment Type : Full-time

Key Responsibilities :

Analyze portfolio performance across delinquency buckets (DPD), resolution rates, and agent-level productivity to identify trends, gaps, and opportunities. Support design and evaluation of collection strategies, including segmentation, channel mix (field vs. tele), and incentive structures. Deep-dive into geographic, product-level, and agent-level performance to optimize field deployment and tele-calling prioritization. Collaborate with business, product, and collections teams to test and roll out initiatives such as promise-to-pay follow-ups, intensity strategies, and skip-tracing models. Conduct competitor and benchmark analysis to understand best practices and performance standards. Build models to forecast collections performance and recovery curves under different scenarios. Provide actionable insights to leadership and contribute to monthly / quarterly strategy reviews. Work closely with data engineering / MIS teams to ensure alignment on metrics, data definitions, and experiment tracking.

Key Requirements :

Bachelor’s degree in Economics, Statistics, Engineering, or Business Analytics; Master’s degree (MBA / PGDM or equivalent) is strongly preferred. 4–6 years of experience in a business or data analyst role, ideally in financial services, fintech, or NBFCs with a focus on collections, credit risk, or operations. Proven ability to drive strategic insights through deep data analysis and influence decision-making at a leadership level. Advanced proficiency in SQL and Excel; working knowledge of analytics tools such as Python is a plus. Hands-on experience with data visualization and dashboarding tools (e.G., Power BI, Superset). Strong understanding of delinquency trends, recovery strategies, and field vs. tele-collections operations. Experience leading analytical projects, cross-functional collaboration, and presenting insights to senior stakeholders. Highly analytical with attention to detail, problem-solving orientation, and ability to manage multiple priorities in a dynamic environment.