Staff Data Scientist, Finance Analytics

Menlo Ventures; San Francisco (CA); Hybrid; USD 152,000 - 210,000; Full time

Benefits offered by this job

Four days in office; Fridays remote

401k match

Wellness stipend

Parental leave

FMC benefits

Job summary

Chime is seeking a Staff Data Analyst to partner with Strategic Finance on the Spending portfolio, building the roadmap, tooling, and semantic layer for scalable analytics. You will mentor other analysts and shape infrastructure that moves beyond ad hoc requests.

You’ll work on ambiguous problems, partnering with senior leaders to influence roadmaps, design experiments, and drive proactive discovery with self‑serve workflows for Finance.

Qualifications

• 8+ years in analytics roles spanning finance and product analytics.
• Expert‑level SQL and strong proficiency in Python.
• Deep expertise in experimental design, A/B testing, and causal inference; ML techniques to business problems.

Responsibilities

• Partner with Strategic Finance to design durable data infrastructure and a semantic layer.
• Build self‑serve analytics workflows and pipelines (dbt/Airflow).
• Provide data storytelling at executive level using Looker/Hex.

Skills

SQL

Python

dbt

Airflow

Looker

Hex

Cursor

Claude Code

Tools

SQL

Job description

About the role

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. 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. You’ll retain fluency in Spending’s products and experimentation, but Strategic Finance — not Product — is the primary partner.

This is a strategic, area‑level role. 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.

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

• 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 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.
• Deep expertise in experimental design, A/B testing, and causal inference, plus experience applying ML techniques to business problems.
• 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.
• 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.

To thrive in this role, you have

• 8+ years of relevant hands‑on 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.
• Deep expertise in applied statistics, experimental design, and analysis of A/B tests, including causal inference, and demonstrated 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.
• A strong bias toward proactive problem discovery on ambiguous problems
• Strong business intuition and judgment, and experience applying prioritization frameworks to your work (e.g., RICE, Eisenhower matrix).
• Exceptional data storytelling and data visualization ability, with experience communicating at executive altitude. 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.

What we offer for our full‑time, regular employees

• 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

Chime is proud to be an Equal Opportunity Employer. We consider qualified applicants without regard to race, color, ancestry, religion, sex, national origin, sexual orientation, gender identity, age, marital or family status, disability, genetic information, veteran status, or any other legally protected basis under provincial, federal, state, and local laws, regulations, or ordinances. We will also consider qualified applicants with criminal histories in a manner consistent with the requirements of state and local laws, including the San Francisco Fair Chance Ordinance, Cook County Ordinance, NYC Fair Chance Act, and the LA City Fair Chance Ordinance, and consistent with Canadian provincial and federal laws. If you have a disability or special need that requires accommodation during any stage of the application process, please contact: [e-mail].