Product Data Analyst

Novig
•$130,000 - $180,000•Onsite

About The Position

Novig is seeking a Product Data Analyst to join its Analytics team and work with product, design, and engineering leaders to shape the product and measure its performance. This is an early hire on a small data team, with ownership of product usage tracking, experimentation, and analysis that informs roadmap decisions. The role focuses on a CFTC-regulated sports prediction market and its distinct exchange dynamics. The analyst will define success metrics for features, lead experiments from design through analysis and recommendations, build and maintain event tracking with Engineering, and analyze user journeys such as discovering markets, placing trades, and returning to the product. The role also monitors product health, shares findings with stakeholders, creates reusable datasets and reports, and explores new data areas. The position is based at Novig’s Union Square, NYC homebase. The work is tied to live sports and may involve nights and weekends, along with pressure. Compensation is $130,000–$180,000 base salary plus meaningful equity.

Requirements

  • At least 2 years of experience as a product or data analyst, preferably at a consumer, fintech, or trading company.
  • Strong product sense and comfort sharing a 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.
  • Comfort working across product, design, and engineering.
  • Strong presentation skills, with the ability to communicate to technical and non-technical audiences.
  • Familiarity with BI tools such as Hex, Looker, Tableau, or Mode.

Nice To Haves

  • Experience with dbt or Python.
  • Experience in sports betting, prediction markets, or other consumer applications.

Responsibilities

  • Partner with Product, Design, and Engineering to define success metrics for new features before launch.
  • Lead experimentation end to end, including designing A/B tests, analyzing results, and recommending what to ship.
  • Work with Engineering to build and maintain product event tracking.
  • Analyze how users discover markets, place trades, and return, and identify opportunities to improve each step.
  • Monitor product health and key metrics, and flag issues early.
  • Present findings and recommendations to stakeholders across the company to drive product decisions.
  • Build reusable datasets and reports that help the team answer its own questions.
  • Explore new and unmapped data areas that can advance the product.

Benefits

  • Meaningful equity for every employee, regardless of role.
  • 100% of health premiums covered.
  • 99% of dental and vision premiums covered.
  • 401(k) with a 4% company match.
  • HSA with a $1,080 annual company contribution.
  • $50 monthly company contribution to employee transit.
  • $27 per day lunch stipend when working from the NYC office.
  • $35 per day dinner stipend when working from the NYC office after 6:30 p.m.
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