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Data Analyst III

New York, NY, United States

About Us

Fanatics is a leading global sports platform redefining how fans connect with the teams, players and moments they love. Our businesses — Fanatics Commerce, Fanatics Collectibles, Fanatics Betting & Gaming, Fanatics Events, Fanatics Advertising, Fanatics Markets and Fanatics Studios — maximize the presence and reach for hundreds of partners globally and create a one-stop experience that allows fans to buy, bet, collect, and earn, while engaging with sports in deeper, more immersive ways. This includes licensed fan gear and lifestyle products, sportsbook and iGaming, physical and digital trading cards, live events, premium sports entertainment content, credit card offerings and more. Together, they form a powerful, integrated ecosystem — connected by the Fanatics ONE loyalty program and FanCash, the currency of sport — delivering personalized experiences to over 100 million fans worldwide. Fanatics holds partnerships with over 900 sports properties, from professional leagues and players’ associations to teams, colleges and retail partners; over 7,000 athletes and celebrities; and over 2,000 retail locations, including all Lids stores. Backed by a team of more than 22,000 employees, Fanatics is committed to relentlessly enhancing the fan experience.

 

About the Team

Launched in 2021, Fanatics Betting and Gaming is the online and retail sports betting subsidiary of Fanatics, a global digital sports platform. The Fanatics Sportsbook is available to 95% of the addressable online sports bettor market in the U.S. Fanatics Casino is currently available online in Michigan, New Jersey, Pennsylvania and West Virginia. Fanatics Betting and Gaming operates twenty-two retail sports betting locations, including the only sportsbook inside an NFL stadium at Northwest Stadium. Fanatics Betting and Gaming is headquartered in New York with offices in Denver, Leeds and Dublin.

Overview

Fanatics Betting & Gaming is seeking a Data Analyst III to play a key role in optimizing and scaling our VIP program through data-driven insights. This position will focus on performance tracking, reporting, and ad-hoc analysis to drive strategic decision-making and enhance customer engagement. You will be responsible for building and maintaining Sigma dashboards, writing SQL queries, and leveraging AI automation and data engineering best practices to extract and analyze large datasets in a scalable fashion. Your insights will directly impact sales operations, customer reinvestment strategies, and VIP journey optimization, helping to create a seamless, high-value experience for our most engaged users.

Key Responsibilities

  • Build and maintain Sigma & AI powered dashboards to visualize VIP program performance and key business metrics.
  • Develop SQL queries to extract, analyze, and manipulate large datasets, driving customer engagement insights.
  • Collaborate with analytics engineering teams to build and maintain data pipelines for VIP related data.
  • Analyze sales operations, customer reinvestment trends, and engagement behaviors to inform VIP program strategy.
  • Develop predictive models to optimize customer segmentation, routing, and personalized VIP journeys.
  • Provide data-driven recommendations to improve customer relationships, maximize engagement, and enhance the VIP experience.
  • Automate reporting processes and streamline data workflows for efficiency and scalability.
  • Embedding AI efficiencies into every process and using it to do work previously not possible.
  • Effectively communicate insights to commercial, marketing, operations, and executive leadership teams to drive strategic initiatives.

Experience & Skills

  • 5+ years of experience in data analytics, business intelligence, or data engineering.
  • Advanced SQL proficiency, with experience handling large-scale datasets and optimizing queries.
  • Strong expertise with dashboard development, visualization, and performance tracking.
  • Understanding of analytics engineering best practices, pipeline optimization, and automation.
  • Hands on experience with using AI to iterate quickly and drastically improve efficiencies.
  • Experience with DBT is a plus.
  • Ability to think strategically and translate data into business insights and revenue-driving recommendations.
  • Experience with customer loyalty programs, engagement analytics, or VIP strategy is a plus.
  • Self-motivated, highly detail-oriented, and strong problem-solving mindset with the ability to work independently.
  • Excellent communication skills, with the ability to present data insights to both technical and non-technical stakeholders.



Depending on the role, your interview and onboarding experience may include in-person components, such as onsite interviews or Launching into Better: LIVE—a multi-day cultural immersion in New York City for full-time, non-seasonal hires. These sessions are designed to build connection and bring our culture to life, though specific travel and participation requirements will be confirmed based on your role and location. Your recruiter will provide clear guidance at each stage of the process.

For information about our benefits, please visit https://benefitsatfanatics.com/

Ranges will change based on country and state of residence, which are reflected in Geographical Zones defined by Fanatics Betting and Gaming. The range incorporates all of our Geographical Compensation Zones and is subject to change as the Zone associated with the actual offer is confirmed. In addition to the base and bonus, full-time employment, and more. For information about our benefits, please visit https://benefitsatfanatics.com/

 

 

Salary Range

$130,000 - $150,000 USD

By submitting your application, you agree to our terms of service and acknowledge you have read our Candidate Privacy Policy.

Fanatics will never ask candidates for money, banking information, or other sensitive personal information as part of the interview process. If you receive a suspicious message claiming to be from Fanatics recruiting, please do not respond and report it here.

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