Lead Data Analyst, Growth Science

About the position 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. 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. In this role, you can expect to Partner with and support vendor developing of our media mix model Design, execute, and read out results of complex experiments and quasi-experiments not supported by our A/B testing vendor Develop predictive models to improve performance of Marketing, Product, and Lifecycle Marketing initiatives Partner with Marketing, Product, and Lifecycle Marketing, to drive business outcomes Mentor other analysts in our team on experimentation and statistics. Improve the team’s technical rigor

Responsibilities

• Partner with and support vendor developing of our media mix model
• Design, execute, and read out results of complex experiments and quasi-experiments not supported by our A/B testing vendor
• Develop predictive models to improve performance of Marketing, Product, and Lifecycle Marketing initiatives
• Partner with Marketing, Product, and Lifecycle Marketing, to drive business outcomes
• Mentor other analysts in our team on experimentation and statistics. Improve the team’s technical rigor

Requirements

• A strong orientation toward business impact — you ensure insights lead to measurable business results
• Demonstrated ability to influence senior stakeholders and guide strategic decisions in ambiguous, fast-moving environments
• Strong quantitative academic background (PhD preferred)
• 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
• Advanced skills in SQL and Python or R. Experience in use of AI to accelerate and improve end-to-end process

Benefits

• Our in-office work policy is designed to keep you connected - with four days a week in the office and Fridays from home for those near one of our offices, plus team and company-wide events depending on location. Whether you’re coming in regularly or are part of our fully remote program, you’ll stay engaged with your work and teammates.
• In-office perks including backup child, elder, and/or pet care, plus a subsidized commuter benefit to support your regular commute
• Competitive salary based on experience
• 401k match plus great medical, dental, vision, life, and disability benefits
• Generous vacation policy and company-wide Chime Days, bonus company-wide paid days off
• 1% of your time off to support local community organizations of your choice
• Annual wellness stipend to use towards eligible wellness related expenses
• Up to 24 weeks of paid parental leave for birthing parents and 12 weeks of paid parental leave for non-birthing parents
• Access to Maven, a family planning tool, with $15k lifetime reimbursement for egg freezing, fertility treatments, adoption, and more.
• In-person and virtual events to connect with your fellow Chimers—think cooking classes, guided meditations, music festivals, mixology classes, paint nights, etc., and delicious snack boxes, too!
• A challenging and fulfilling opportunity to join one of the most experienced teams in FinTech and help millions unlock financial progress

Apply tot his job Apply To this Job