Data Analyst III

Fanatics Betting & Gaming•New York, NY
•$130,000 - $150,000

About The Position

Fanatics Betting & Gaming is seeking a Data Analyst III to optimize and scale its VIP program through data-driven insights. The role focuses on performance tracking, reporting, and ad-hoc analysis to support strategic decisions and improve customer engagement. The analyst will build and maintain Sigma dashboards, write SQL queries, and use AI automation and data engineering best practices to extract and analyze large datasets at scale. Insights will inform sales operations, customer reinvestment strategies, and VIP journey optimization, helping deliver a high-value experience for engaged users. The role works with analytics engineering teams and communicates findings to commercial, marketing, operations, and executive leadership stakeholders. It also emphasizes incorporating AI efficiencies into workflows and using AI to make previously infeasible work possible.

Requirements

  • At least 5 years of experience in data analytics, business intelligence, or data engineering.
  • Advanced SQL proficiency, including experience handling large-scale datasets and optimizing queries.
  • Strong expertise in dashboard development, data visualization, and performance tracking.
  • Understanding of analytics engineering best practices, pipeline optimization, and automation.
  • Hands-on experience using AI to iterate quickly and improve efficiency.
  • Ability to think strategically and translate data into business insights and revenue-driving recommendations.
  • Self-motivated, highly detail-oriented, and strong problem-solving skills, with the ability to work independently.
  • Excellent communication skills and ability to present insights to technical and non-technical stakeholders.

Nice To Haves

  • Experience with DBT.
  • Experience with customer loyalty programs, engagement analytics, or VIP strategy.

Responsibilities

  • Build and maintain Sigma and AI-powered dashboards to visualize VIP program performance and business metrics.
  • Develop SQL queries to extract, analyze, and manipulate large datasets and generate customer engagement insights.
  • Collaborate with analytics engineering teams to build and maintain 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.
  • Recommend data-driven improvements to customer relationships, engagement, and the VIP experience.
  • Automate reporting processes and streamline data workflows for efficiency and scalability.
  • Embed AI efficiencies into processes and use AI to enable work that was previously not possible.
  • Communicate insights to commercial, marketing, operations, and executive leadership teams to support strategic initiatives.
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