Sports Betting Analytics Salaries: What Companies Pay in 2026
Sports betting is now the most active hiring sector in sports analytics. Since the legalisation of US sports betting in 2018, companies like FanDuel, Genius Sports, and a wave of smaller operators have built large data and analytics teams — and they post salaries in their job listings.
We pulled every active listing from our database across the major sports betting and sports data companies and extracted real salary figures where disclosed. Here's what they're actually paying.
FanDuel
FanDuel is the largest single employer of analytics talent in sports right now, with 34 active data and analytics roles. They're also one of the most transparent on compensation — most US-based listings include a salary range, likely driven by pay transparency laws in New York and other states.
What the listings show:
| Role | Location | Salary Range |
|---|---|---|
| Analyst / Commercial Data Analyst | New York | $90,000 – $112,000 |
| Consumer Insights Senior Analyst | New York | $86,000 – $108,000 |
| Payments Strategy Senior Analyst | New York | $79,000 – $99,000 |
| Commercial Senior Analyst | New York | $106,000 – $133,000 |
| Analytics Engineer | New York | $98,000 – $128,100 |
| Consumer Insights Senior Manager | New York | $127,000 – $159,000 |
| Commercial Analytics Senior Manager | New York | $138,000 – $173,000 |
| Data Engineer | Atlanta | $116,000 – $152,250 |
| Analytics Engineer (senior) | New York | $152,250 |
| Data Product Manager | New York | $116,000 – $145,000 |
| Senior Software Engineer | New York | $149,000 – $195,300 |
| Staff Data Architect | New York | $170,000 – $223,650 |
| VP, Software Engineering | Atlanta | $267,000 – $356,000 |
The pattern: entry-level analyst roles start around $80–90k in New York. Senior analysts hit $106–133k. Manager level is $127–173k. Staff and director roles push into the $170–240k range. The VP-level outlier at $267–356k is exceptional but real.
Atlanta roles run slightly lower than New York equivalents — roughly 10–15% less for comparable titles, consistent with cost-of-living differences. UK and Edinburgh roles don't list salaries.
Browse FanDuel and similar roles on our job board
Genius Sports
Genius Sports sits at the infrastructure layer of sports data — they provide official data feeds to the NFL, NBA, and Premier League, and have built a significant ad-tech business on top. Their New York engineering salaries are among the highest in the sector.
What the listings show:
| Role | Location | Salary Range |
|---|---|---|
| Financial Analyst – Commercial | New York | $85,000 – $100,000 |
| Software Engineer, Data | New York | $145,000 – $200,000 |
| Senior Data Engineer, Ad-Tech | New York | $180,000 – $240,000 |
| Senior Software Engineer, Data Platform | New York / LA | $180,000 – $240,000 |
| Senior Software Engineer, GeniusIQ | Los Angeles | $175,000 – $220,000 |
| Senior Applied AI Engineer | Los Angeles | $180,000 – $230,000 |
| Staff Software Engineer, Infrastructure | New York / LA | $230,000 – $270,000 |
| Director of Engineering, Ad-Tech | New York | $250,000 – $300,000 |
| Senior Director of Engineering, Ad-Tech | New York | $250,000 – $325,000 |
The pattern: Genius Sports pays at the high end for technical data roles. Senior engineers are in the $175–240k range, staff engineers $230–270k, and director-level roles reach $300k+. These are competitive with major tech company salaries — not typical for a sports business.
The tradeoff: a significant portion of their analyst-level roles are based in Medellín, Colombia, where salaries are not disclosed and are almost certainly lower. If you're applying for an analyst role, check the location carefully.
Swish Analytics
Swish Analytics is smaller and less well-known, but their salaries are worth paying attention to. They build predictive models that price sports betting markets — the analytics is the product, not a supporting function.
What the listings show:
| Role | Location | Salary |
|---|---|---|
| Trading Analyst | San Francisco | $70,000 |
| NFL Data Scientist | San Francisco | $130,000 |
| NHL Data Scientist | San Francisco | $130,000 |
| QA Software Engineer | San Francisco | $130,000 – $170,000 |
| Senior Quantitative Researcher | San Francisco | $155,000 |
| Rust Engineer | San Francisco | $155,000 |
The pattern: the Trading Analyst entry point is lower at $70k, but Data Scientist roles jump straight to $130k. Senior quant researchers are at $155k. For a company of their size, these are strong numbers — and the work is genuinely technical. If you want to build sports betting models rather than support a consumer product, this is the closest you'll get.
Penn Interactive
Penn Interactive runs BetRivers and ESPN Bet in the US, and their job listings skew toward software engineering rather than pure analytics. Most roles are remote-eligible, which is relatively rare at this salary level.
What the listings show:
| Role | Location | Salary Range |
|---|---|---|
| Backend Engineer, Penn Game Studios | US / Canada Remote | $90,000 – $125,000 |
| Software Engineer, Sportsbook Enablement | US / Canada Remote | $110,000 – $150,000 |
| Engineering Manager, Sports Core | US / Canada Remote | $150,000 – $200,000 |
The pattern: solid engineering salaries, fully remote. Less data-science-specific than FanDuel or Swish, but if you're a data engineer or software engineer who wants to work in sports, Penn is a legitimate option.
Rush Street Interactive, Kambi, Sportradar
These three have active listings but don't disclose salaries in their job descriptions.
Rush Street Interactive (BetRivers) has analytics engineering and player support analyst roles, mostly based in Bogotá and Tallinn. Kambi is a B2B sportsbook technology provider with roles in Stockholm. Sportradar has software engineering roles in Warsaw and Montevideo through their Synergy Sports subsidiary.
All three are worth watching if you're open to international locations or want to work on the B2B side of sports betting infrastructure.
How the Companies Compare
If salary is the primary driver, here's the honest summary:
Highest paying (data/engineering roles): Genius Sports, followed closely by FanDuel at the senior and staff level. Both are paying tech-company rates for the right profiles.
Best entry point for analysts: FanDuel — transparent salary bands, multiple analyst-level roles open simultaneously, and a clear progression from analyst ($86–112k) to senior analyst ($106–133k) to manager ($138–173k).
Most interesting technically: Swish Analytics. Smaller company, fewer roles, but the work is building quantitative models that price live sports markets. The salary is competitive and the domain expertise you'd build is rare.
Best for remote work: Penn Interactive — engineering roles at $110–200k that are explicitly US/Canada remote.
A Note on What's Not Here
DraftKings is conspicuously absent. They use Workday as their ATS, which means their roles aren't currently in our database. Based on publicly available data and Glassdoor reports, DraftKings pays in a similar range to FanDuel for comparable roles — but we won't put numbers in a post we can't verify from our own listings.
Same applies to MGM/BetMGM, Caesars Sportsbook, and Flutter's other brands. As we add more sources, we'll update this.
Final Thoughts
Sports betting analytics is one of the few parts of the sports industry where data professionals are paid at genuine tech-company rates. If you have strong SQL, Python, or ML skills, companies like FanDuel and Genius Sports are paying $130–240k for senior technical roles — comparable to what you'd earn at a mid-sized tech company, with the added context of working in sport.
The tradeoff is that the work is closer to financial services than to performance analysis. If your goal is to work on player recruitment or on-field performance, these aren't the right employers. But if you want to apply quantitative skills to sport and be paid well for it, the sports betting sector is where the money is.
Browse all current sports analytics openings, including live roles at the companies listed above.
Salary data sourced from active job listings on analyticssportsjobs.com as of 1 May 2026. Figures shown are as disclosed in job descriptions and reflect base salary only.
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