Chime is seeking a Spending Product Analyst to develop, test, launch, and scale member banking experience products that make Chime the best place to spend, save, and invest. The goal is to deliver industry-leading spending products that increase member engagement and retention through data-driven insights and product development.
Requirements
- 5-7 years in data-focused roles (post-internship), building analytical infrastructure and data tools.
- Experience leading experimentation, statistical analysis, and sophisticated measurement (e.g. causal inference) E2E.
- Expertise in SQL - translating business questions to queries and understanding data warehouses.
- Familiarity in R or Python - writing reproducible code with a tendency toward automation.
- Hands-on experience with BI/Visualization tools (Looker, Tableau, PowerBI, etc).
- Experience building metric frameworks to understand user behaviors.
- B2C product analytics and FinTech experience preferred.
Responsibilities
- Partner widely with product, engineering, research, and design to translate insights into product development.
- Lead experimentation by providing mentorship on how they should be run, defining success metrics and data requirements, evaluating impact, and providing strategic direction.
- Drive roadmap, analysis, and metric ideation, and strategic discussions with stakeholders.
- Keep a pulse on performance metrics and KPIs and explain trends.
- Foster a data-driven, test-and-learn culture by presenting insights and recommendations to encourage change.
- Collaborate with analysts and other functions to bridge business questions and technical (data / computational) solutions.
- Surface product insights and recommendations through experimentation, user behavioral analysis, statistical modeling, and dashboard development.
Other
- Excellent stakeholder management skills with a record of working cross-functionally to achieve results.
- Ability to think holistically to solve business problems and navigate through ambiguity.
- A focus on impact - ensuring work leads to business change.
- In-office work policy requiring four days a week in the office for those near an office.
- Preference for candidates with a record of collaboration and communication across functions.
