Lead Data Analyst, Growth Science

Chime
New York, NY, USA; San Francisco, CA, USA; Seattle, WA, USAUp to $210kPosted 5 March 2026

Job Description

<h2><strong>About the role</strong></h2> <p>We’re hiring a Lead Data Analyst, Growth Science to use advanced science to estimate the incrementality of Marketing, Product, and Lifecycle Marketing and to improve their performance. As a senior individual contributor, you’ll lead high-impact growth initiatives through the use of media mix modeling, experimentation and quasi-experimentation, and predictive modeling. You will play a role in defining how we estimate incrementality and how we improve performance.</p> <p>The base salary offered for this role and level of experience will begin at $152,000 and up to $210,000. 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.</p> <h2><strong>In this role, you can expect to</strong></h2> <ul> <li>Partner with and support vendor developing of our media mix model</li> <li>Design, execute, and read out results of complex experiments and quasi-experiments not supported by our A/B testing vendor</li> <li>Develop predictive models to improve performance of Marketing, Product, and Lifecycle Marketing initiatives</li> <li>Partner with Marketing, Product, and Lifecycle Marketing, to drive business outcomes</li> <li>Mentor other analysts in our team on experimentation and statistics. Improve the team’s technical rigor</li> </ul> <h2><strong>To thrive in this role, you have</strong></h2> <ul> <li>A strong orientation toward business impact — you ensure insights lead to measurable business results</li> <li>Demonstrated ability to influence senior stakeholders and guide strategic decisions in ambiguous, fast-moving environments</li> <li>Strong quantitative academic background (PhD preferred)</li> <li>6+ years of experience in applied science roles, with deep expertise in predictive modeling and causal inference; Experience in FinTech and in Marketing strongly preferred</li> <li>Advanced skills in SQL and Python or R. Experience in use of AI to accelerate and improve end-to-end process</li> </ul> <p>#LI-Hybrid #LI-AM1</p><div class="content-conclusion"><h2><strong>A little about us</strong></h2> <p>At Chime, we believe that everyone can achieve financial progress. We created Chime—a financial technology company, not a bank*—on the premise that core banking services should be helpful, easy, and free. Through our user-friendly tools and intuitive platforms, we empower our members to take control of their finances and work towards their goals. Whether it's starting a savings account, purchasing a first car or home, launching a business, or pursuing higher education, we're proud to have helped millions unlock their financial potential.</p> <p>We're a team of problem solvers, dreamers, and builders with one shared obsession: our members. From day one, Chimers have worked tirelessly to out-hustle and out-execute competitors to bring our mission to life. Their grit and determination inspire us to work harder every day to deliver the very best experience possible. We each bring an owner's mindset to our work, refusing to be outdone and holding ourselves accountable to meet and exceed the highest bars for our teams, our company, and our members.</p> <p>We believe in being bold, dreaming big, and taking risks, while also working together, embracing our diverse perspectives, and giving each other honest feedback. Our culture remains deeply entrepreneurial, encouraging every Chimer to see themselves as stewards of our mission to help everyday Americans unlock their financial progress. </p> <p>We know that to achieve our mission, we must earn and keep people's trust—so we hold ourselves to the highest standards of integrity in everything we do. These aren't just words on a wall—our values are embedded in every aspect of our business, serving as a north star that guides us as we work to help millions achieve their financial potential.</p> <p>Because if we don't—w ... (truncated, view full listing at source)
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