Data Analyst - Financial Technology - Remote

Overview

As a member of the Chime Enterprise Product team you will have the opportunity to help develop, test, launch and scale both member rewards and earned wage access products. Through experimentation, user behavior analysis, sophisticated statistical and data science modeling, and dashboard development, you will surface product insights to increase enrollment, adoption, and retention of our users.

In Short

• Keep a pulse on performance metrics and KPIs. You will be positioned to have a view of the business, product, and member base and encouraged to understand and explain trends.
• Drive predictive analytics and user behavior modeling, identifying trends and opportunities to improve user experiences, increase reward redemptions, and maximize engagement with key product features.
• Take initiative in designing and executing experiments, including A/B testing and data-driven initiatives, to evaluate the effectiveness of features like personalized goal-setting and tiered rewards in influencing user behavior.
• Own the measurement of product impact, developing frameworks for understanding causation, attribution, and incremental lift, ensuring alignment with the product’s engagement and retention goals.
• Collaborate with product, marketing and operational teams to deliver actionable insights and ensure alignment on strategy, goals, and metrics, contributing to data integrity and the success of key initiatives.

Requirements

• 3+ years in data-focused roles (post-internship), building analytical infrastructure and data tools that support a wide audience and facilitate decisions of trade-offs. B2C product analytics and FinTech experience preferred.
• Strong quantitative background (e.g., Statistics, Economics, Applied Mathematics) with experience in statistical analysis, causal inference, and hypothesis testing
• Expertise in SQL - you innately translate business questions to queries, understand the edge cases of joins, and can explore a warehouse to find data most appropriate to the problem.
• Competence in Python or R for data analysis and modeling.
• Hands-on experience with data visualization tools (e.g., Tableau, Looker) and the ability to create clear and impactful visualizations.
• Familiarity with cloud and infrastructure services like AWS, Snowflake, DBT, etc. is preferred
• Understanding of statistical concepts (e.g. regression, decision tree) and a willingness to learn experimental design.
• Strong problem-solving skills and attention to detail.
• Excellent communication skills, with the ability to explain technical concepts to non-technical audiences.
• Interest in financial products and improving financial inclusivity.

Benefits

• 🏢 A thoughtful hybrid work policy that combines in-office days and trips to team and company-wide events depending on location to ensure you stay connected to your work and teammates, whether you’re local to one of our offices or remote
• 💻 Hybrid work perks like backup child, elder and/or pet care, as well as a subsidized commuter benefit
• 💰 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