what will you do:
analyze multi-dimensional data to identify user patterns, emerging trends, and risk signals that inform lending and growth strategiesdevelop and maintain churn and propensity models to detect disengaged users and recommend data-driven interventions that improve retention and product stickinesslead campaign analytics by building user segments and evaluating communication effectiveness, with a focus on improving targeting, engagement, and in-funnel conversion performancepartner with product teams to guide feature development, using insights from cohort analysis, funnel diagnostics, and retention trends to improve user journeys and experiencecollaborate with cross-functional teams including product, risk, tech, compliance, and business to build and execute analytical solutions aligned with organizational prioritiesown the end-to-end execution of strategic analytical initiatives, from problem framing and hypothesis design to stakeholder communication and impact trackingsupport and mentor junior analysts, fostering analytical rigor and promoting best practices in data hygiene, modeling, and experimentation across the broader analytics team
you should apply if you:
have 4+ years of hands-on experience in data science or analytics roles, solving real-world business problemshold a bachelor's or master's degree in a quantitative field such as engineering, statistics, mathematics, or a related disciplinehave strong analytical skills with the ability to interpret diverse datasets and translate insights into solutions for specific business challengeshave strong proficiency in python and/or SQL, with experience handling large datasets and working with distributed computing toolscommunicate effectively and enjoy collaborating with cross-functional teams, including product, business, and risk
