Product Data Analyst
Company websitenovig.us (Novig, opens in new tab)
Base salary $130K to $180K
Employer-published annual base salary, USD. Advertised base range in New York, NY
You apply on the employer's own site. Six Figure Work does not handle applications.
- LocationNew York, NY
- WorkplaceWorkplace not stated
- Status at last checkSource accepting applications when checked
- Last checked (3 h ago) · observed since
About this job
Product Data Analyst
$130k – $180k • meaningful equity
About Novig
Novig 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 Novig 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.
We're backed by some of Silicon Valley's top investors — Pantera, Forerunner, Lux, NFX, Paul Graham, and Joe Montana — who have collectively invested over $100M behind this vision.
About the Role
We’re looking for a sharp Product Analyst who loves using data to solve product and business problems. You’ll join Novig’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. Novig is a CFTC-regulated sports prediction market, and as an exchange, it brings product questions you won’t find at a traditional sportsbook.
Who you are and what you will do
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
What you’ll need:
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
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.
Compensation & benefits
$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
Source: Novig on Ashby · View original posting (opens in new tab)
Pay in context
This role's base floor ($130,000) is above 18% of the 3,617 Data & ML roles nationwide listed on this site; 35 others list the same floor. Their median floor is $170,000; the middle half runs from $138,400 to $200,000.
Only jobs on this site count, and each one publishes a base salary of $100,000 or more, so this compares six-figure jobs with each other, not with the whole market. Computed Nov 6, 2026.
This listingProduct Data Analyst$130K to $180K
Affiliate GTM Lead$130K to $160K
Product Designer$150K to $180K
People Operations Manager$110K to $140K
Performance Marketing Manager, Display & CTV$100K to $130K
Software Engineer$200K to $260K
Design Engineer$200K to $260K
Chart as a table
| Role | Published base |
|---|---|
| Product Data Analyst (this listing) | $130K - $180K |
| Affiliate GTM Lead | $130K - $160K |
| Product Designer | $150K - $180K |
| People Operations Manager | $110K - $140K |
| Performance Marketing Manager, Display & CTV | $100K - $130K |
| Software Engineer | $200K - $260K |
| Design Engineer | $200K - $260K |
Observed changes
- Began meeting the published-salary criteria
- First observed on the employer's board
- Observed since
- Employer-stated posting date
- 2026-10-15
Where this pay comes from
Location as the employer wrote it: New York
USD 130,000 – 180,000 · 1 YEAR · Salary
- Method
- Structured pay field published by the employer
- Checked
- Rule set
- us-base-v2
The employer's job board publishes this pay as a dedicated data field. We read the field directly; no interpretation was needed.
What we verified
- The pay figures come from the employer's own listing, quoted exactly above.
- The pay is an annual base salary in US dollars with a minimum of at least $100,000.
- The role was publicly listed on the employer's job board when last checked.
We do not verify what the employer will actually offer, whether the employer is still recruiting for the role, or anything beyond what the employer published. Full methodology.