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Sportsbook Data Analyst Jobs (NOW HIRING)

Swish Analytics

Trading Analyst

San Francisco, CA · Remote

$75K/yr

Independently analyze betting trends in a scientific process, turning data into quantifiable trading actions Requirements: * Minimum of 3 years of in-game play experience at an online sportsbook or ...

Swish Analytics

Trading Analyst

San Francisco, CA · On-site +1

$65K/yr

Independently analyze betting trends in a scientific process, turning data into quantifiable trading actions Requirements: * Minimum of 3 years of in-game play experience at an online sportsbook

Swish Analytics

Trading Analyst

San Francisco, CA · Remote

$65K/yr

Independently analyze betting trends in a scientific process, turning data into quantifiable trading actions Requirements: * Minimum of 3 years of in-game play experience at an online sportsbook

Swish Analytics

Trading Analyst

San Francisco, CA · On-site +1

$75K/yr

Independently analyze betting trends in a scientific process, turning data into quantifiable trading actions Requirements: * Minimum of 3 years of in-game play experience at an online sportsbook or ...

Fanatics Inc

$150 - $200/hr

This role is perfect for a data-fluent marketer who understands that a player's "first bet ... Analyze cohort performance by acquisition source and entry event. Identify which sports or leagues ...

FanDuel

Data Science Manager

Jersey City, NJ · On-site

Construct models, analyses and solutions in response to a question or problem posed by a ... America's #1 Sportsbook, FanDuel Sportsbook; its leading iGaming platform, FanDuel Casino; the ...

FanDuel

Data Science Manager

Jersey City, NJ · On-site

Construct models, analyses and solutions in response to a question or problem posed by a ... America's #1 Sportsbook, FanDuel Sportsbook; its leading iGaming platform, FanDuel Casino; the ...

FanDuel

Data Science Manager

Manhattan, NY · On-site

$150 - $200/hr

Construct models, analyses and solutions in response to a question or problem posed by a ... America's #1 Sportsbook, FanDuel Sportsbook; its leading iGaming platform, FanDuel Casino; the ...

FanDuel

Data Science Manager

Jersey City, NJ · On-site

Construct models, analyses and solutions in response to a question or problem posed by a ... America's #1 Sportsbook, FanDuel Sportsbook; its leading iGaming platform, FanDuel Casino; the ...

FanDuel

Commercial Analyst - Casino

Manhattan, NY · On-site

$100 - $125/hr

Engage with Sportsbook VIP team to derive group level insights into VIP behaviors, generosity and ... Proficient with Tableau or similar data visualization tools with experience creating PowerPoint ...

FanDuel

Commercial Analyst - Casino

New York, NY · On-site

Establish measures of success and create, modify, and evolve data visualizations to better ... Engage with Sportsbook VIP team to derive group level insights into VIP behaviors, generosity and ...

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Sportsbook Data Analyst information

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$82.6K

$136K

How much do sportsbook data analyst jobs pay per year?

As of Sep 9, 2026, the average yearly pay for sportsbook data analyst in the United States is $82,640.00, according to ZipRecruiter salary data. Most workers in this role earn between $62,500.00 and $97,000.00 per year, depending on experience, location, and employer.

What are popular job titles related to Sportsbook Data Analyst jobs?

For Sportsbook Data Analyst jobs, the most frequently searched job titles are:

Infographic showing various Sportsbook Data Analyst job openings in the United States as of August 2026, with employment types broken down into 1% As Needed, 85% Full Time, 11% Part Time, and 3% Contract. Highlights an 84% Physical, 4% Hybrid, and 12% Remote job distribution, with an average salary of $82,640 per year, or $39.7 per hour.

Operations Analyst, Strategy & Analytics

Denver, CO • On-site

Fanatics Betting & Gaming
See more jobs at Fanatics Betting & Gamingexternal

Full-time

This job post has expired 1 day ago. Applications are no longer accepted.

Job description

About Us
Fanatics is building a leading global digital sports platform. We ignite the passions of global sports fans and maximize the presence and reach for our hundreds of sports partners globally by offering products and services across Fanatics Commerce, Fanatics Collectibles, and Fanatics Betting & Gaming, allowing sports fans to Buy, Collect, and Bet. Through the Fanatics platform, sports fans can buy licensed fan gear, jerseys, lifestyle and streetwear products, headwear, and hardgoods; collect physical and digital trading cards, sports memorabilia, and other digital assets; and bet as the company builds its Sportsbook and iGaming platform. Fanatics has an established database of over 100 million global sports fans; a global partner network with approximately 900 sports properties, including major national and international professional sports leagues, players associations, teams, colleges, college conferences and retail partners, 2,500 athletes and celebrities, and 200 exclusive athletes; and over 2,000 retail locations, including its Lids retail stores. Our more than 22,000 employees are committed to relentlessly enhancing the fan experience and delighting sports fans globally. 

Location: Denver or New York   |   Reports To: Sr. Manager, Ops Analytics & Strategy

Overview

As an Operations Data Analyst at Fanatics Betting & Gaming, you are on the front lines of how the Customer Operations Team understands its own performance. This role sits within the Analytics & AI Enablement team and is the connective tissue between the data and the decision: you'll build and own the analytical foundations that Ops leaders across Customer Support, Fraud, Payments, and WFM rely on, and then you'll translate what it means, guide recommendations, and align stakeholders on what to do next.

Technical depth alone isn't enough for this seat. We need someone who's as strong in SQL as they are at turning that analysis into a clear, persuasive narrative and building real working relationships across a fast-moving, cross-functional organization. Think less "analyst who reports numbers" and more "operator who happens to be excellent with data."

ResponsibilitiesStrategic Storytelling & Stakeholder Communication
  • Translate complex, sometimes messy data into a clear point of view with actionable recommendations Ops teams can use
  • Present findings and proposals directly to Ops leaders and senior stakeholders with confidence and polish
  • Build genuine working relationships across Payments, Fraud, Product, WFM, and CX - you're a collaborator first, not just a data provider.
  • Read the room: know when a stakeholder needs the executive summary versus the full methodology, and adjust accordingly.
  • Manage multiple concurrent projects with clear, consistent communication to stakeholders and leadership.
Analytical Ownership & SQL Fluency
  • Own your domain end-to-end: build the pipelines, maintain the dashboards, and surface the insights before anyone has to ask.
  • Write, QA, and optimize complex SQL independently - comfortable with SQL is a must-have
  • Proactively catch data quality issues and resolve them (or escalate them) before they surface in leadership reporting.
  • Deprecate manual, one-off reporting in favor of automated, always-on solutions.
  • Autonomously drive short and long-term projects from problem definition through execution, with a strong bias toward action.
AI & Automation Enablement
  • Support the Ops AI roadmap - pulling data, building the business case, and validating the data foundation before a build kicks off.
  • Track and report on AI agent performance post-deployment against top-line Ops goals.
  • Build lightweight alerting on critical Ops metrics to reduce reactive firefighting.
Skills and QualificationsRequired
  • 2-4 years of experience in Strategy, Consulting, Strategic Operations, or a closely related analytical role.
  • Strong hands-on SQL skills - able to write, QA, and optimize complex queries independently. 
  • Excellent communication and storytelling skills, with experience presenting to senior leadership.
  • A natural problem solver with a strong bias toward action and a track record of driving things to completion.
  • Empathetic team player who works effectively across functions and builds trust quickly with new stakeholders.
  • Curious, fast learner who's genuinely interested in the sports betting / iGaming space.
  • Comfortable operating in a fast-paced, ambiguous, hyper-growth environment where priorities shift.
Preferred
  • Experience building or maintaining dashboards in Sigma, Tableau, or a comparable BI tool.
  • Familiarity with DBT or a similar data transformation framework.
  • Exposure to AI/ML-adjacent workflows, agent builds, or automation initiatives.
  • Familiarity with operational KPIs across customer support, fraud, payments, or workforce management.
  • Experience with Python or a similar scripting language for data manipulation.
  • Bachelor's degree in Business, Analytics, Economics, Computer Science, or a related field.

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