The opportunity
When people sign up for Chime, we want to know which marketing efforts brought them in and which ones brought in members who stay and use their account. You will set the direction for how Chime answers that question.
What you'll do
Own the paid performance story. Track spend and results across channels every: week. Explain why numbers moved, in plain words that a non-analyst can act on.
Measure new-member offers. Show whether our introductory new member offers: bring in better members and whether they are worth the cost. Compare offer groups against fair, matched groups.
Set the bar for experiments and offers. Define how tests are designed and: read, and how we decide whether sign-up offers are worth the cost.
Improve how we credit marketing channels. Find where our attribution rules: fall short, propose better ones, and work with Data Engineering to build and maintain them.
Turn marketing mix modeling into budget advice . Use the output of our: Marketing Mix Model to advise Marketing on how to allocate budget across channels.
Be a proactive business partner. Work with Marketing, Growth and Finance: leaders as a trusted partner. Share insights and recommendations before they ask, and help them decide what to do next.
What they're looking for
- Help plan the work ahead. Estimate the likely impact of new marketing ideas so the team can prioritize.
- Use AI to work faster and go deeper. Use AI tools to speed up analysis, check: your work, and build things others can reuse.
- Raise the level of the team. Coach senior data scientists, guide contractors: and set the quality bar for high-stakes work.
- A Bachelor’s degree and 8+ years of experience in analytics or data science,: with deep experience in marketing, growth or consumer products