Lead Data Analyst, Marketing
Philadelphia, PA (remote)All locationsPhiladelphia, PA (remote)Arlington, VA (remote)Baltimore, MD (remote)Buffalo, NY (remote)Jersey City, NJ (remote)Manchester, NH (remote)New York, NY (remote)Stamford, CT (remote) Remote
$120,000–$150,000 a yearJobFig found this opening at its original source and checks that it remains available.
About the role
Launch Potato is looking for a Lead BI Developer to own the reporting infrastructure that powers decision-making across our Credit Cards, Make Money/Manage Money, Banking, and Marketplace verticals with a clear growth path into becoming a proactive analytical partner who helps the team see around corners. You'll be embedded with the business from day one, partnering closely with our Yield, Paid Media, and Account Management teams to uncover meaningful trends, conduct retrospective analyses across experiments, creatives, offers, seasonality, and CAC performance, and challenge the team with insights they aren't currently seeing. This is NOT a role for someone who wants to build dashboards and hand them off, it's for someone who cares deeply about whether the work they build gets used, understood, and acted on.
What you'll bring
- Expert SQL & Comfortable with Unstructured Complex Data: Extracts accurate insights from raw, unstructured data without relying on clean models
- Reporting Ownership & Data Literacy: Builds, standardizes, drives adoption, and leaves teams more data-literate
- Performance Marketing Optimization: Connects data directly to levers that move the business, i.e. campaign performance, conversion rates, or revenue per session
- Advanced LookML Development (or equivalent in Power BI / Tableau): Architects complex models with full understanding of downstream impacts
- Curiosity & Business Depth: Asks questions first
- driven to grow business knowledge to become a trusted analytical partner, not just a builder
- Minimum 7 years in business intelligence or analytics with direct exposure to performance or affiliate marketing.
- The strongest candidates have owned reporting end-to-end, from pipeline to dashboard, worked with messy, complex, third-party data, and partnered closely with business teams to uncover meaningful trends, conduct retrospective analyses, and connect data work to decisions that actually moved the business.