Data Analyst, Growth Product

Rozgoo; San Francisco (CA); On-site; USD 109,000 - 150,000; Full time

Benefits offered by this job

Bonus

Equity package

Benefits

Job summary

Chime is seeking a Growth Product Analyst in San Francisco to partner with Growth Product and Engineering. You will drive measurable impact across the member journey from acquisition to retention, turning data into decisions that shape how millions discover, use direct deposit, and extract value.

You will design and analyze A/B tests, own funnels end-to-end, and translate questions into prioritized recommendations that ship. A strong data-driven culture awaits.

Qualifications

• 3-5 years of hands-on analytics experience in product/data roles.
• Expert SQL and Python; strong grasp of statistical concepts.
• Experience designing/analyzing A/B tests and modeling causal effects.
• Ability to influence senior partners using data and judgment.

Responsibilities

• Own funnels end-to-end from acquisition to retention.
• Design, run, and analyze A/B tests; create metric definitions and power analyses.
• Provide self-service analytics to PMs/engineers; conduct ad hoc analyses.
• Apply time-series forecasting and causal inference to product questions.
• Build dashboards, KPIs, and data pipelines; enable better event tracking.
• Translate analyses into clear narratives for product and execs.
• Collaborate with Data Engineering to improve data quality and access.

Skills

SQL

Python

A/B testing

Statistics

Causal inference

Data pipelines

Tools

dbt

Airflow

Job description

About the role

We're looking for a Growth Product Analyst to partner with our Growth Product and Engineering teams to drive measurable impact across the member journey — from acquisition to conversion through long-term retention. You'll turn data into the decisions that shape how millions of members discover, direct deposit, and get value from Chime.

This role sits at the intersection of product, data, and experimentation. You'll own funnels end-to-end, design and analyze A/B tests, and translate ambiguous business questions into clear, prioritized recommendations that ship.

In this role, you will work closely with product managers, design, engineers, product & lifecycle marketing, and operational stakeholders to foster a data-driven product development culture, advise our product roadmaps, and build a deep understanding of member behavior.

The base salary offered for this role and level of experience will begin at $109,000 and go up to $150,000. 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 Product Managers, Engineers, Designers, and Marketers on growth initiatives spanning acquisition, onboarding, activation, and retention
• Design, run, and analyze A/B tests to improve member product experiences, including metric creation, experiment design, power analysis, and analysis of experiment results.; develop frameworks to prioritize the highest-leverage experiments
• Drive data-informed decision making within Growth org by equipping PMs and engineers with self-service analytics tools, and conducting ad hoc analyses and causal studies for the team.
• Use advanced statistical methods for causal inference, as well as time-series and other forecasting techniques, to solve product questions for the team. Occasionally apply machine learning methods for problems such as customer segmentation.
• Build and maintain dashboards, KPIs, and self-serve tooling that give the team a clear view of funnel health
• Help the team establish high-quality eventing to allow the tracking of detailed user behaviors along customer journeys through Chime's mobile app.
• Translate complex analyses into clear narratives and recommendations for product and executive audiences
• Collaborate with Data Engineering to improve the quality, accessibility, and trustworthiness of growth datasets

To thrive in this role, you have

• 3-5 years of relevant hands-on experience in product or business analytics roles (FinTech a plus).
• Expert-level SQL ability and proficiency in Python.
• Hands-on experience designing and analyzing A/B tests; solid grasp of statistical concepts (significance, power, sample size, common pitfalls)
• Demonstrated experience acting as a trusted advisor to senior cross-functional partners — influencing decisions through both data and judgment.
• A strong bias toward proactive problem discovery. You don't wait for tickets — you explore data, spot patterns, and bring forward opportunities that meaningfully change product direction.
• Strong business intuition and judgment, and experience applying prioritization frameworks to your work (e.g., RICE, Eisenhower matrix).
• Strong written and verbal communication; able to translate technical concepts to non-technical stakeholders
• Familiarity with building data pipelines using tools like dbt or Airflow.
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