Job Title

Want to lead analytics for a profitable e-comm/NBFC company doing millions of transactions per month? Then read on..Job Description - Product Analytics ManagerLocation: Bangalore (Kadubeesnahalli)Working days: Monday - FridayAbout Company (Confidential, profitable near Unicorn):Indias booming consumer market has over 300 million credit-eligible consumers, yet only 35million actively use credit cards. At , we are building a better alternative to credit cards that lets consumers buy now and pay later for a wide variety of products, be it shoes, clothes, fashion accessories, clothes or mobile phones. We firmly believe that an enduring financial services business must be built on the bedrock of providing honest, transparent and fair terms.Founded in 2017, today we are the leading online zero-cost EMI provider in India. We have served over 10M consumers across 2,200 cities and are doubling year on year.Our founders are serial entrepreneurs and alumni of IIT Bombay and ISB with over two decades of experience across leading organizations like Oyo, Swiggy, Maruti Suzuki and ZS Associates before successfully scaling and exiting businesses in patent analytics, ad-tech and bank-tech software services.Responsibilities:- Map and measure critical shopper flows across the product experience - Work with product & engineering to ensure meaningful signals are captured across touchpoints - Lead and mentor a team of analysts, guiding priorities and quality of work - Ensure important user actions and system signals (events) are captured accurately and consistently - Analyze funnel behavior, drop-offs, performance patterns, and user intent - Partner with PMs to define metrics for new features and programs - Run structured experiments and interpret results with clarity - Build self-serve dashboards that help teams track product health and performance - Translate customer patterns into clear product opportunities - Stay close to how digital commerce platforms optimize discovery, conversion, and retentionQualifications:- Bachelor’s degree in Engineering, Computer Science, Statistics, Economics, or a related field - 3–5 years of hands-on analytics experience; preferably in e-commerce/ quick commerce companies - Hands-on with SQL and Python, and comfortable working with large data sets - Solid understanding of event instrumentation, funnels, user journeys and user cohorts - Exposure to digital consumer products, commerce journeys, or large-scale user flows - Ability to translate data into product thinking - Clarity in communication and ability to simplify complex insights