Key Responsibilities
- Build out a team of high-performing analysts that provides the product teams with monitoring support, strategic insights for roadmaps, and prioritization clarity
- Partner with data engineering leadership to create mature foundations that enables analytics to scale with rapid growth
- Own analytics for our loan origination process driving actionable insights across Credit Verifications, AI Verifications, Fraud, and Loan Servicing
- Develop metrics frameworks, dashboards, and KPIs to monitor and improve all aspects of the product lifecycle
- Partner closely with Product and Engineering to define and measure success across automation initiatives and platform enhancements
- Conduct deep-dive analyses to identify opportunities for operational efficiency and improved decision accuracy
- Work with AI/ML teams to validate model performance and guide data-driven prioritization
- Lead experimentation and A/B testing efforts to validate product improvements and changes
- Mentor and collaborate with other analysts and product team members to build a culture of data-driven decision making
Key Requirements
- 7+ years of experience in product analytics, data science, or a related field, with a strong foundation in SQL and data visualization tools (e.g., Sigma, Tableau)
- 2+ year managing senior and junior analysts
- Strong leader that understands the value of mentoring and growing skillsets within their team
- Experience supporting product teams in fast-paced, high-growth environments
- Strong business acumen and ability to translate complex data into clear recommendations
- Demonstrated success using analytics to drive product or operational improvements
- Familiarity with credit, underwriting, or verification workflows is a strong plus
- Comfort working with ambiguous problems and a track record of leading cross-functional projects with measurable business impact
