Analytics Engineer III - FES - Data

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. 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. We are seeking a Analytics Engineer III to join our growing Data organization in the Analytics Engineering team. As an Analytics Engineer III, you'll report directly to the Manager of Analytics Engineering and collaborate with internal and external stakeholders to create valuable insights to drive our business's growth. As an AE, your work will be critical in building accurate reporting across the business. You'll also be responsible for providing ongoing analysis and recommendations to stakeholders. We're looking for someone passionate, eager to learn, and can work well within a team.This is a unique opportunity to join a dynamic team and directly contribute to our business's success. Responsibilities Develop a strong understanding of Fanatics Betting and Gaming, as well as related products and operations. Design and build insightful metric definitions, KPIs, and source of truth tables utilizing advanced sql Ownership of our DBT cloud infrastructure and implementation of data modeling best practices Collaboration with other Analysts and Data Engineering teams to find solutions to business problems. Develop our Snowflake Intelligence AI to help empower teams to self-serve analytics. Remain current on technology and trends in data analytics and the sports betting & gaming industry. Experience and Skills Advanced SQL skills, including model/query optimization Data modeling utilizing a tool such as DBT, including incremental modeling strategies Manage and optimize source code control in GitHub, leveraging branching strategies and best practices to ensure efficient collaboration and code quality Experienced with building dashboards and reporting tools (e.g. Tableau, Sigma, Power BI, Looker). Customer obsessed and experience focused; highly outcome-oriented and data-driven; experienced in working in high-growth environments. Demonstrated ability to partner closely with stakeholders, earning trust and prioritizing relationships. Logical and analytical approach to problem solving. Plus for utilizing AI in analytics. Strong organizational and communication skills. Positive and flexible attitude, a willingness to embrace new initiatives. Understanding of sports betting or experience in customer behavior analysis is a significant plus. Must be open to travel for team offsites and events. 5+ years of relevant experience The base salary for this role is based on job-related knowledge, skills, and experience and may vary depending on the successful candidate’s geographic location. Remote employee may also be eligible for a home office setup stipend. For information about our benefits, please visit https://benefitsatfanatics.com/ 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. 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 $87,400 — $143,750 USD By submitting your application, you agree to our terms of service and acknowledge you have read our Candidate Privacy Policy.

{
  "content_hash": "cca6def4ef85cb73bd6b73c8fb940af30143d53ddc15679b2ad78e19c31730c2",
  "source_hash": "d844df0559b99e455f4d0baaa31261a6a6339bee65d29e2d7922c93bda293db6",
  "last_changed_at": "2026-06-02T11:37:56.864Z",
  "active_status": "active"
}

{
  "language": "en",
  "location": {
    "raw": "New York, NY, United States",
    "city": "New York",
    "region": "NY",
    "country": "United States",
    "is_remote": true,
    "confidence": 0.95
  },
  "salary_max": 143750,
  "salary_min": 87400,
  "inferred_at": "2026-06-06T19:05:46.862Z",
  "launch_scope": {
    "reason": "english_us_canada",
    "included": true,
    "language": "en",
    "location": {
      "raw": "New York, NY, United States",
      "city": "New York",
      "region": "NY",
      "country": "United States",
      "is_remote": true,
      "confidence": 0.95
    },
    "countries": [
      "United States"
    ]
  },
  "remote_policy": "remote",
  "salary_period": "year",
  "workplace_type": "remote",
  "salary_currency": "USD"
}

{}

{
  "title": "Analytics Engineer III - FES - Data",
  "offices": [
    {
      "id": 4018558009,
      "name": "United States",
      "location": "Jacksonville, Florida, United States",
      "child_ids": [
        4018705009,
        4018747009,
        4018714009,
        4018724009,
        4018654009,
        4018716009,
        4018733009,
        4018652009,
        4018721009,
        4018752009,
        4018662009,
        4018742009,
        4018745009,
        4018679009,
        4018674009,
        4018789009,
        4018681009,
        4018750009,
        4018756009,
        4018764009,
        4018683009,
        4018773009,
        4018766009,
        4018761009,
        4018780009,
        4018656009,
        4018696009,
        4018792009,
        4018798009,
        4018702009,
        4018729009,
        4018739009,
        4018776009,
        4018713009,
        4018708009,
        4018710009,
        4018712009,
        4018711009,
        4018707009,
        4018709009,
        4018706009,
        4018748009,
        4018749009,
        4018715009,
        4018726009,
        4018727009,
        4018728009,
        4018725009,
        4018655009,
        4018718009,
        4018719009,
        4018720009,
        4018717009,
        4018734009,
        4018738009,
        4018736009,
        4018737009,
        4018735009,
        4018653009,
        4018722009,
        4018723009,
        4018753009,
        4018754009,
        4018755009,
        4018666009,
        4018665009,
        4018667009,
        4018668009,
        4018671009,
        4018673009,
        4018663009,
        4018664009,
        4018672009,
        4018669009,
        4018670009,
        4018743009,
        4018744009,
        4018746009,
        4018680009,
        4018677009,
        4018675009,
        4018676009,
        4018678009,
        4018791009,
        4018790009,
        4018682009,
        4018751009,
        4018760009,
        4018758009,
        4018759009,
        4018757009,
        4018765009,
        4018687009,
        4018684009,
        4018691009,
        4018685009,
        4018695009,
        4018686009,
        4018688009,
        4018689009,
        4018690009,
        4018692009,
        4018693009,
        4018694009,
        4018774009,
        4018775009,
        4018771009,
        4018769009,
        4018768009,
        4018770009,
        4018772009,
        4018767009,
        4018762009,
        4018763009,
        4018787009,
        4018782009,
        4018781009,
        4018783009,
        4018784009,
        4018785009,
        4018788009,
        4018786009,
        4018658009,
        4018659009,
        4018661009,
        4018657009,
        4018660009,
        4018699009,
        4018701009,
        4018700009,
        4018697009,
        4018698009,
        4018794009,
        4018797009,
        4018793009,
        4018796009,
        4018795009,
        4018799009,
        4018703009,
        4018704009,
        4018732009,
        4018730009,
        4018731009,
        4018740009,
        4018741009,
        4018777009,
        4018779009
      ],
      "parent_id": 4018554009
    }
  ],
  "language": "en",
  "location": {
    "name": "New York, NY, United States"
  },
  "metadata": [
    {
      "id": 4758117009,
      "name": "Workplace Type",
      "value": "Remote",
      "value_type": "single_select"
    },
    {
      "id": 5238646009,
      "name": "Career Site Categories",
      "value": [
        "Engineering & Technology"
      ],
      "value_type": "multi_select"
    },
    {
      "id": 4758125009,
      "name": "Operating Company",
      "value": "Betting & Gaming",
      "value_type": "single_select"
    },
    {
      "id": 5361612009,
      "name": "FADV_Account",
      "value": "108531FBG_FANATICS BETTING & GAMING",
      "value_type": "single_select"
    },
    {
      "id": 5361638009,
      "name": "FADV_Package",
      "value": "Not Applicable",
      "value_type": "single_select"
    }
  ],
  "updated_at": "2026-06-01T14:13:03-04:00",
  "departments": [
    {
      "id": 4019138009,
      "name": "Gaming - Core Data",
      "child_ids": [],
      "parent_id": 4042910009
    }
  ],
  "company_name": "Fanatics Betting & Gaming",
  "requisition_id": 4136782009,
  "first_published": "2026-04-30T16:02:23-04:00",
  "application_deadline": null
}