10 Companies Hiring the Most Sports Analysts in 2026 (Ranked by Open Roles)

Most articles about sports analytics careers tell you where to look. This one tells you who is actually hiring — right now, in May 2026, based on live job listings tracked on this site.

We pulled every active posting from our database and filtered for roles with an analytics or data function: data analysts, data scientists, analytics engineers, performance analysts, machine learning engineers, and similar. Here's what the data shows.

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1. FanDuel — 34 open analytics roles

FanDuel is the biggest single employer of analytics talent in sports right now. Their 34 open roles span the full data stack: from Commercial Data Analyst and Product Analyst to Staff Machine Learning Engineer and Analytics Engineer. There's a strong tilt toward commercial and marketing analytics — customer retention, search, and AI-driven product development.

Most roles are based in New York, Atlanta, or Edinburgh (UK), with some remote-eligible positions in the US. If you have strong SQL, Python, or ML skills and don't mind working in sports betting rather than a team or league, FanDuel is worth a serious look.

Browse FanDuel roles and similar sports betting jobs

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2. Genius Sports — 25 open analytics roles

Genius Sports is less consumer-facing than FanDuel but arguably more central to how sports data actually works. They provide official data and technology to leagues, sportsbooks, and broadcasters worldwide — the NFL, NBA, and English Premier League all use their data.

Their open analytics roles include Broadcast Analyst, Digital Marketing Data Analyst, and multiple data and engineering positions. A chunk of their current openings are based in Medellín, Colombia, where they run a significant operations hub.

If you want to work on the infrastructure side of sports data — how stats are collected, processed, and distributed — Genius Sports is one of the most interesting employers on this list.

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3. Swish Analytics — 8 open analytics roles

Swish Analytics is a smaller name but one of the purest sports analytics companies on this list. They build predictive models for sportsbooks — their product is the analytics itself, not a consumer app or a league.

Their open roles include NFL Data Scientist, NHL Data Scientist, Machine Learning Engineer, and Trading Analyst. This is genuinely technical work: building models that price markets in real time. If you have a strong quantitative background and want to apply it directly to sport, Swish is worth watching.

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4. Major League Baseball — 7 open analytics roles

MLB has long been at the forefront of analytics in sport, and they're still hiring. Current openings include a Data Analyst, Baseball Data Platform role alongside software engineering positions that support the league's data infrastructure.

MLB also runs a Scout & Coaching Development Program for 2026 — worth a look if you're earlier in your career and want a foot in the door at league level.

Browse MLB and baseball analytics jobs

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5. Dream Sports — 7 open analytics roles

Dream Sports is India's largest sports technology company, best known for Dream11 (fantasy cricket and football with hundreds of millions of users). Their analytics team is serious: open roles right now include Machine Learning Scientist, Principal Machine Learning Scientist, and Director - Data Science.

If you're open to working in a high-growth market with massive sports data scale, Dream Sports is one of the most interesting companies in this space globally.

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6. FC Cincinnati — 5 open analytics roles

FC Cincinnati stands out as the MLS club with the most analytics-specific openings right now — Senior Director of Business Analytics, Data Analyst Intern, Performance Analyst Intern, and a First Team Performance Analyst role.

It's rare to see a mid-market MLS club with this many analytics positions open simultaneously, which suggests a genuine investment in building out their department. Worth monitoring if MLS analytics jobs are your target.

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7. 2K Sports — 7 open roles (mixed)

2K Sports makes the NBA 2K franchise, and their data and engineering roles are primarily in game development rather than basketball operations. Roles like Senior Manager, Sports Insights & Analytics and Senior Researcher are relevant, but most of their open positions are engineering-focused.

If the intersection of sports gaming and data interests you, it's worth looking. Just be clear on what you're applying for.

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8. Rush Street Interactive — 5 open analytics roles

Rush Street Interactive operates BetRivers and SugarHouse sportsbooks. Their analytics openings are split between operations (Player Support Analyst, Helpdesk Analyst) and more technical work (Technical Lead - Analytics Engineer, VP Engineering).

They're a smaller operator than FanDuel but have a solid foothold in regulated US markets. Less brand recognition, potentially less competition for roles.

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9. Sportradar — 4 open roles

Sportradar competes directly with Genius Sports in the official data space. Their current openings are software engineering-heavy (via their Synergy Sports subsidiary), including a Cape Cod Video Scout role — a good signal that they're investing in data collection at the grassroots level as well as the top end.

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10. MLS League Office — 4 open analytics roles

At league level, MLS has a Senior Director of Analytics Engineering and BI Platform and a Senior Data Scientist open right now, alongside a Product Manager, Fan Data Platform role. This is the kind of centralised infrastructure work that sets the data standard for the entire league.

League-level analytics roles don't come up often. If MLS is your target league, these are worth prioritising.

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What This Data Tells Us

A few patterns stand out across these listings:

Sports betting is driving volume. FanDuel, Genius Sports, Rush Street, Penn Interactive, and Swish Analytics together account for a significant share of analytics hiring. The legalization of sports betting in the US has created a sustained demand for data talent that shows no sign of slowing.

Teams hire less consistently than you'd expect. Most clubs have one or two analytics roles open at any given time, not the hiring spree that occasional press coverage might suggest. FC Cincinnati is the exception this month — most teams aren't.

The data infrastructure layer is real. MLB, MLS, Genius Sports, and Sportradar all have roles focused on how sports data gets built, stored, and distributed. This is an underrated entry point — less glamorous than working for a team, but technically interesting and more stable.

Final Thoughts

If you're actively looking, the clearest opportunity right now is in sports betting analytics — FanDuel in particular has more open roles than any other single employer. If you want to work closer to the sport itself, FC Cincinnati and MLB have the most active hiring at team and league level.

Browse all current openings, filter by company, and set up an alert if a specific employer is your target. The market moves fast — roles at this level fill quickly.

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Data reflects active job listings on analyticssportsjobs.com as of 1 May 2026. Counts change daily as new roles are posted and filled.

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Frequently Asked Questions

Which companies hire the most sports data analysts? Based on live job listing data from May 2026, FanDuel leads with 34 open analytics roles, followed by Genius Sports (25), Swish Analytics (8), MLB (7), and Dream Sports (7). Sports betting and data infrastructure companies consistently post more analytics roles than professional teams — most clubs have 1–2 openings at any given time, while betting operators hire in volume year-round.

Does FanDuel hire data scientists? Yes, FanDuel is one of the largest employers of data science and analytics talent in sports. Their open roles span commercial data analysts, product analysts, analytics engineers, machine learning engineers, and staff data architects. US salaries are disclosed in their postings (required by pay transparency laws in New York) and range from $86K–$112K for analysts to $170K–$224K for staff roles. Most positions are based in New York or Atlanta.

Is Genius Sports a good company to work for in analytics? Genius Sports is one of the most analytically serious employers in the sports data sector. They hold official data rights for the NFL, NBA, and Premier League, and have built a significant ad-tech business on top of those feeds. Their senior engineering and data science salaries in New York are among the highest in the sector ($180K–$300K+). The tradeoff is that many analyst-level roles are based in Medellín, Colombia — check location carefully before applying.

Are there a lot of sports analytics jobs available right now? The market is active, driven primarily by sports betting expansion in the US. FanDuel, Genius Sports, Swish Analytics, and similar companies post roles consistently throughout the year. Professional team positions (clubs, league offices) are available but less frequent — most teams hire 1–3 analytics staff per year. The total sports analytics job market across all employer types is significantly larger than most candidates realise.

How do I get a job at a sports data company like Genius Sports or Sportradar? The standard path is SQL + Python proficiency, a portfolio project demonstrating data analysis or modelling, and a direct application via the company's careers page. These companies hire year-round and are generally more accessible than professional team roles — they have larger analytics teams and more defined hiring pipelines. Roles at the analyst level ($80K–$130K) are less competitive than engineering roles, which draw from the broader tech market. Browse current openings at sports data companies to see what's live right now.