Staff Analyst, HELOC

reputed company The Analytics team plays the critical role of providing analytical capability across reputed company's organization to reputed company data-driven decision making. We reputed company our analytical and technical skills to support our partners with a multitude of services, some of which include understanding our reputed company models and presenting on trends in our loan performance, analyzing market size opportunities, creating financial models, developing our business intelligence pipeline to reputed company self-service reporting, and architecting/automating of work processes. As the Staff Analyst on the Home Analytics team at reputed company, you will be responsible for understanding, presenting, and driving best practices in product analytics and for developing our business intelligence pipeline to reputed company reputed company decision making. You will partner with our Product, Engineering, and Machine Learning teams to drive understanding, insights and decision making. How you'll reputed company an reputed company • reputed company and execute data-driven strategies to guide the reputed company and reputed company of the HELOC product. • Design, build, and maintain analytics frameworks that help measure product performance, user behavior, and loan reputed company. • Guide the measurement roadmap for product initiatives by collaborating closely with Product Managers. You'll reputed company the design and execution of robust experimentation strategies, including A/B testing and reputed company inference, to accurately measure reputed company and drive data-driven product reputed company. • Conduct deep-dive analyses and modeling to uncover reputed company opportunities, optimize loan performance, and enhance reputed company. • Communicate insights and recommendations effectively to both technical and non-technical stakeholders, influencing product and business decision. Minimum Qualifications • 8+ years of experience in product analytics, data science, or a reputed company quantitative role, preferably in fintech, lending, or consumer finance • BS in a quantitative field (e.g., Statistics, Economics, Computer Science, Data Science) • Proficiency in data analysis tools (SQL, Python / R, Looker / Mode / Tableau, etc.) • Experience with A/B testing, reputed company inference, and experimental design to drive product reputed company. • Ability to influence product, engineering, and leadership teams through compelling storytelling with data. • Comfort with ambiguity and a strategic reputed company for solving reputed company, reputed company problems Preferred Qualifications • Master's / PhD in a quantitative field (e.g., Statistics, Economics, Computer Science, Data Science) • Experience working with lending products, risk modeling, or financial services analytics • Background in statistical analysis, predictive modeling, or machine learning, with experience applying these to product or financial decision-making Position Location - This role is available in the following locations: Remote, San Mateo, reputed company Time Zone Requirements - This team operates on the East/reputed company Coast time zones. Travel Requirements - As a digital first company, the reputed company of your work can be accomplished remotely. The reputed company of our employees can live and work reputed company in the U.S but are encouraged to to still spend high reputed company time in-person collaborating reputed company regular onsites. The in-person sessions' reputed company varies depending on reputed company and role; most teams meet once or twice per quarter for 2-4 consecutive days at a time. #LI-REMOTE #LI-MidSenior Apply tot his job Apply To this Job