Director, Product Analytics

Rozgoo; United States; Remote; USD 230,000 - 300,000; Full time

Benefits offered by this job

Bonus

Equity

Benefits

Job summary

Chime is seeking a Director of Product Analytics to lead the Lending analytics team and shape analytics strategy across credit, liquidity, underwriting, and repayment. You will partner with Product, Risk, Finance, and Strategy to guide investments, drive experiments, and translate insights into scalable business impact.

You will manage a team of managers and senior analysts, define north star metrics, and present executive-ready narratives that advance member financial health and access to

Qualifications

• 10+ years of analytics experience.
• Experience leading managers and senior ICs in fintech or consumer tech.
• Proven track record owning analytics for a major product area and influencing cross‑functional strategy.

Responsibilities

• Lead and grow a team of managers and senior analysts.
• Own the analytics strategy for Lending portfolio.
• Partner with Product, Risk, Finance, and Strategy to influence roadmaps and decisions.
• Drive experimentation strategy as a senior partner to Product.
• Define and evolve north star metrics, dashboards, and operating cadences.
• Translate data into executive-ready narratives to inform decisions.
• Bring external fintech analytics best practices to raise team standards.

Skills

Team leadership

Analytics strategy

Experimentation

Causal inference

Job description

At Chime, we believe that it’s important to give our employees opportunities to develop and grow their careers both laterally and vertically. Since career development is employee owned and manager supported,

About the role

At Chime, we are building a member-first financial experience that empowers millions of people to achieve financial progress. Analytics and data are central to understanding our members, refining our products, and driving strategic business decisions. We’re hiring a Director, Product Analytics to lead our Lending analytics team and help shape one of Chime’s most critical growth areas.

In this role, you’ll set the strategy for how analytics supports our lending products and partner closely with leaders across Product, Risk, Finance, and Engineering to drive high-impact decisions. As our Director, you’ll operate across both strategy and execution—ensuring we responsibly expand access to liquidity while improving member financial health.

The base salary offered for this role and level of experience will begin at $230,000 and up to $300,000. Full-time employees are also eligible for a bonus, competitive equity package, and benefits. The actual base salary offered may be higher, depending on your location, skills, qualifications, and experience.

• Lead and grow a team of managers and senior analysts, setting a high bar for analytical rigor, thought partnership, and business impact.
• Own the analytics strategy for Chime’s Lending portfolio, supporting products across credit, liquidity, underwriting, and repayment.
• Partner closely with Product, Risk, Finance, and Strategy leaders to influence roadmaps, investment decisions, and risk trade-offs.
• Drive experimentation strategy as a senior thought partner to Product, ensuring tests are well-designed and insights are translated into scalable impact.
• Define and evolve north star metrics, dashboards, and operating cadences that provide visibility into portfolio performance, unit economics, and member outcomes.
• Translate complex data into clear, actionable insights and executive-ready narratives that inform decision‑making.
• Bring external perspective and best practices in fintech and analytics to continuously raise the bar for the team.

• 10+ years of experience in analytics, with strong experience managing managers and/or senior ICs in fintech, consumer tech, or other data‑rich environments.
• Proven track record of owning analytics for a major product area and influencing cross‑functional strategy and decision‑making.
• Deep expertise in experimentation and causal inference, with experience applying these methods to product and r