Operations Data Analyst

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.

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

As an Operations Data Analyst at Fanatics Betting Gaming, you are on the front lines of how the Operations Department understands its own performance. You sit within the Analytics AI Enablement team and own the data pipelines, reporting, and analytical work that CX, Fraud, Payments, WFM, and VIP leaders rely on to make decisions every day.

This is not a passive reporting role. You are expected to take ownership across multiple operational areas, building and maintaining the data layer, surfacing insights, and flagging risks before they become crises. You work closely within the Strategy Analytics team to ensure our data is accurate, scalable, and directly connected to Ops top-line goals.

We are actively building toward an AI-first way of operating, and this role is part of that. The ideal candidate is technically sharp, relentlessly detail-oriented, and genuinely curious, both about what the data is saying and about how AI can change the way we find and act on answers. You are comfortable moving fast, owning ambiguous problems, and holding yourself to a high bar without being told to.

Responsibilities

Analytical Work Insights

Respond to high-priority analytical requests from Ops leaders — turning raw data into clear, actionable insights on a tight timeline.

Proactively surface trends, anomalies, and risks from the data without waiting to be asked.

Support scenario analysis and impact sizing for product initiatives, operational changes, and staffing decisions.

Own the development and maintenance of dashboards and reports that give operational leaders clear visibility into performance across CX, Fraud, Payments, WFM, and VIP.

Ensure all reporting reflects up-to-date data, clearly defined KPIs, and documented assumptions.

Present findings and data narratives directly to operational stakeholders — translating complexity into clear recommendations they can act on.

Data Infrastructure Pipelines

Build, maintain, and improve data pipelines that feed Ops reporting and dashboards — ensuring consistent, accurate, and well-documented data flows.

Partner with Data Engineering on DBT development, data store buildout, and pipeline reliability.

Proactively identify and resolve data quality issues; escalate blockers that require cross-functional resolution.

Deprecate manual, one-off data pulls and replace with automated, always-on solutions.

Build alerting infrastructure on critical Ops metrics to catch issues early and reduce reactive firefighting.

AI Enablement Innovation

Support the AI agent roadmap by contributing data, analytical rigor, and validated data foundations before an agent moves to build.

Track and report on AI agent performance post-deployment — measuring impact against top-line Ops goals.

Actively look for opportunities to apply AI to your own workflow — whether that's speeding up analysis, improving accuracy, or eliminating manual work.

Bring a point of view on where AI can and can't be trusted, and flag where human judgment needs to stay in the loop.

Required Qualifications

2+ years of experience in an analytical role — business intelligence, data analytics, strategic operations, o…