data
Posted 2 weeks agoStaff Data Scientist, Finance Analytics
at Chime
San Francisco Usa, United StatesHybrid
Responsibilities
- Track record as a trusted strategic partner to senior leaders (Directors/VPs), influencing roadmaps through both data and judgment, with a strong bias toward proactive problem discovery.
Requirements
- Finance’s demand for spending data has outgrown an ad hoc, request-by-request model, and this role exists to fix that: building the roadmap, tooling, and semantic layer that let Finance answer its own questions, and designing the AI-assisted workflows that make that data usable at scale.
- experience partnering with a Finance or Strategic Finance organization — fluent in unit economics, contribution margin, and forecasting, not just product metrics.
- Expert-level SQL and strong proficiency in Python.
- experience applying ML techniques to business problems.
- Exceptional data storytelling at executive altitude, with experience using Hex and Looker. •
- Experience building dbt/Airflow pipelines, and fluency with AI coding/analytics tools (e.g., Claude Code, Cursor) used to build self-serve workflows for non-technical stakeholders like Finance.
- experience in product or business analytics roles, with a track record of shaping strategy at the area or business-line level (FinTech, payments, or card a plus).
- Expert-level SQL ability and strong proficiency in Python.
- experience applying ML techniques to business use cases. Demonstrated
- experience as a trusted strategic partner to senior cross-functional leaders (Directors/VPs) — carrying weight in contested decisions and influencing roadmaps through both data and judgment.
- experience applying prioritization frameworks to your work (e.g., RICE, Eisenhower matrix).
- Experience with Hex and Looker. •
- Experience building and maintaining data pipelines with dbt or Airflow, and contributing to shared analytical infrastructure and standards.
- Fluency with AI coding/analytics tools (such as Claude Code and Cursor) and a track record of driving their adoption. #LI-AM1 #LI-Hybrid A little about us
Experience
- 8+ years in analytics roles spanning both finance and product analytics, with a track record of building infrastructure that scales an analytics function beyond one-off requests (FinTech, payments, or card a plus). Direct
- 8+ years of relevant hands-on
Benefits
- The base salary offered for this role and level of
- experience will begin at $152,000.00 and up to $210,000.00.
- 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-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.
Contact
- If you have a disability or special need that requires accommodation during any stage of the application process, please contact: benefits@chime.com .
Additional details
- We’re looking for a Staff Data Analyst to become Chime’s dedicated analytics partner to Strategic Finance on the Spending portfolio — debit, Credit Builder, Chime Card and Single Balance, Chime Deals, Spending Insights, and Checkbooks.
- You’ll retain fluency in Spending’s products and experimentation, but Strategic Finance — not Product — is the primary partner.
- You’ll work on ambiguous problems — deciding what Finance actually needs, building durable infrastructure instead of one-off pulls, and reframing requests when the initial ask isn’t the real question — while mentoring other analysts along the way.
- Deep expertise in experimental design, A/B testing, and causal inference, plus
- Deep expertise in applied statistics, experimental design, and analysis of A/B tests, including causal inference, and demonstrated
- A strong bias toward proactive problem discovery on ambiguous problems
- Exceptional data storytelling and data visualization ability, with
- 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.