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Product Data Analyst

  • Office
  • 0-3 years

Salary

$130,000 - 180,000/ year

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Description

About the company

The company is building America's 1 sports prediction market. Our mission is to financialize and democratize sports trading - taking a closed system run by casinos and turning it into a fair, efficient, two-sided market where the power sits with users.

With the company recently becoming a CFTC-designated market — the fastest designation of its kind in US history— we're bringing the prediction market built for sports fans nationwide.

About the Role

We’re looking for a sharp Product Analyst who loves using data to solve product and business problems. You’ll join the company’s Analytics team and work closely with our product, design and engineering leads to shape what we build and measure whether it’s working.

This is an early hire on a small data team, so you’ll have real ownership. You’ll help set up how we track product usage and run experiments, and you’ll be part of the conversations where the roadmap gets decided. The company is a CFTC-regulated sports prediction market, and as an exchange, it brings product questions you won’t find at a traditional sportsbook.

Requirements

  • Partner with Product, Design and Engineering to define success metrics for new features before they 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 how users discover markets, place trades and come back, and find 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 their own questions
  • Explore new and unmapped data areas that can push our product forward
  • 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.)
  • Experience with dbt or Python
  • Experience in sports betting, prediction markets, or other consumer applications
  • Why work here, in the words of the people who do
  • “I work with extremely stellar people, I own real systems, and decisions happen fast. No politics, no waiting for needless red tape. If something's broken, I fix it. If I build something good, it ships.”
  • “The people! They're smart, thoughtful, fun to work with and passionate about their craft.”
  • “I'm having the most fun I've had in my entire career.”
  • If you want responsibility, trust, and the chance to help build the future of sports prediction markets - take your shot, we’d love to connect.
  • Not for everyone
  • Our work is tied to live sports - that means potential nights, weekends, and pressure included.
  • If you need clear swim lanes, a heavy process, or someone to tell you what to do, this won’t be the right environment.

Conditions

$130k – $180k base, benchmarked at top-tier tech companies

Meaningful equity for every employee, regardless of role

100% health premiums covered

99% dental & vision covered

401(k) with 4% company match

HSA + $1,080 annual company contribution

$50/monthly company contribution to employee transit

$27/day lunch stipend when working from our NYC office

$35/day dinner stipend when working from the NYC office after 6:30pm

Homebase

Union Square, NYC

Where you’d work

From the office

About the company

Company hidden

  • Industry: FinTech

Office in New York, United States

Your chances

Still hiring, moderately crowded, and a person reads your message.

  • 18 checks run
  • 8 good signs
  • 3 red flags

Still hiring?

12 checks

Actively hiring

In its favour5

  • Still on the company's own careers site, checked 1 h agoModerate evidence
  • On the company's careers site and 1 other place we trackSlight evidence
  • Specific about the basics: pay, place, level, stack and contract all statedSlight evidence
2 moreFewer
  • States its salarySlight evidence
  • A hiring contact is attached to itSlight evidence

Against it1

  • Posted 3 weeks agoSlight evidence

How crowded?

6 checks

Moderate

In its favour3

  • You can message the hiring contact and skip the queueModerate evidence
  • In the office in New York: only people nearby can take itSlight evidence
  • Asks for Looker, which fewer than 1% of open roles doSlight evidence

Against it2

  • Open for 3 weeks: applications have had time to pile upModerate evidence
  • Entry level: the most applied-to level there isModerate evidence
69 roles like this are in their Early WindowFound before the big job boards, while the crowd hasn’t arrived

Fits Me

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  • Must-haves
Details12 facts · Role, Location, Compensation, Employment, Company
Tech stack
  • Python
  • SQL
  • dbt
  • Tableau
  • Looker
Type
Full-time
Equity
Equity offered
Industry
FinTech
Specialty
Data Analyst
Region
United States
Show 6 more factsShow less

Role

Category
Data & Analytics
Specialty
Data Analyst
Experience
2+ years
Tech stack
  • Python
  • SQL
  • dbt
  • Tableau
  • Looker

Location

Work model
Office
Region
United States
Office
  • New York, United States

Compensation

Salary
$130,000 - 180,000 / year
Pay period
Annual
Equity
Equity offered

Employment

Type
Full-time

Company

Industry
FinTech

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