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Salary: USD 130,000 - 180,000 / annual
Novig is building America's leading sports prediction market, recently designated as a CFTC-regulated market. The company is backed by top-tier investors including Pantera, Forerunner, Lux, NFX, Paul Graham, and Joe Montana, with over $100M invested.
As a Product Data Analyst, you'll be an early hire on a small analytics team with real ownership and impact. You'll partner closely with product, design, and engineering leadership to shape the product roadmap and measure success.
Key responsibilities include:
- Partner with Product, Design, and Engineering to define success metrics for new features before launch
- Lead experimentation end-to-end, from designing A/B tests to analyzing results and recommending what ships
- Work with Engineering to build and maintain product event tracking
- Analyze user discovery, trading behavior, and retention patterns to identify improvement opportunities
- Monitor product health and key metrics, flagging issues early
- Present findings and recommendations to stakeholders across the company to drive product decisions
- Build reusable datasets and reports that enable the team to answer their own questions
- Explore new and unmapped data areas that can push the product forward
The role brings unique challenges tied to a CFTC-regulated exchange and sports prediction market, distinct from traditional sportsbooks. You'll work in a fast-paced environment where decisions happen quickly and ownership is real.
REQUIREMENTS:
- 2+ years of experience as a product or data analyst, preferably at a consumer, fintech, or trading company
- Strong product sense and comfort sharing your point of view
- Strong opinions on experimentation and experience leading complex, cross-functional experiments from design to decision
- Enthusiasm for using AI tools and strong fundamental SQL skills
- Comfortable working across product, design, and engineering
- Strong presentation skills, capable of catering to both technical and non-technical audiences
- Familiarity with BI tools (Hex, Looker, Tableau, Mode, etc.)
Nice to have:
- Experience with dbt or Python
- Experience in sports betting, prediction markets, or other consumer applications
