Opportun
Senior Product Analyst
Senior Product Analyst
The Product Analytics team is looking for a Senior Product Analyst who will play a critical role in driving the growth of our personal loans business and product strategy. Sitting at the intersection of product, risk, and business insights, the Product Analytics team plays a critical role in analyzing & optimizing new product features as well as driving the omni- channel strategy across our channels. In this role, you will leverage multiple data sources, develop a deep understanding of our various products, and practice analytical rigor in making product feature recommendations that will ultimately improve customer experience & conversion within the acquisition funnel while controlling for risk & fraud. The right candidate for this role will demonstrate a high level of curiosity and a strong knack for solving complex problems with innovative & simple solutions that challenge the status quo. This highly visible role is an exciting opportunity in a fast-paced organization where your contributions will drive meaningful impact on broadening access to Oportun’s affordable and credit building loans.
RESPONSIBILITIES
- Perform detailed analysis of product usage / behavior data to derive insights and drive product strategy. Identify trends, patterns, and anomalies in data to support business decisions and product growth.
- Design, execute and analyze A/B tests to measure the impact of product and feature changes aimed at product enhancements.
- Develop and manage highly accurate forecasting models on key business metrics relevant to product success and management.
- Build and maintain detailed reports and dashboards to track product performance and KPIs.
- Work closely with cross functional teams, including product, engineering, risk, compliance, marketing, and operations, to align product strategies with business goals.
REQUIREMENTS
- Bachelor's degree in a relevant field (Statistics, Engineering, Data Science).
- 2 to 5 years of experience working as a data / product analyst.
- High proficiency and hands-on experience with SQL & Python and data visualization tools (e.g., Tableau, Domo, Power BI).
- Firm understanding of statistical concepts like statistical significance, A/B testing, Forecasting methodologies.
- Strong analytical and problem-solving skills and the ability to work collaboratively in a cross-functional team environment.
- Excellent communication and presentation skills to convey complex data insights.