Analytics Engineer III: AI-Driven Data & Dashboards

Fanatics Betting & Gaming; Greater London; On-site; GBP 75,000 - 110,000; Full time

Job summary

Fanatics Betting & Gaming is seeking an Analytics Engineer III to join our growing Data organisation. You will report to the Manager of Analytics Engineering and work with stakeholders to build accurate reports and deliver insights that drive growth.

You’ll own DBT Cloud infrastructure, design KPIs, and collaborate with Analytics and Data Engineering teams to solve complex business problems. A passion for learning and a proactive, data-driven mindset is essential.

Qualifications

• Advanced SQL skills and query optimization required.
• Experience with DBT data modeling and incremental modeling.
• Proven ability to build dashboards in Tableau, Power BI, Looker, or Sigma.
• Strong collaboration with stakeholders and cross-functional teams.
• Knowledge of Snowflake and DBT cloud infrastructure preferred.
• 5+ years of relevant analytics experience.

Responsibilities

• Develop an understanding of Fanatics Betting and Gaming products and operations.
• Design and build metric definitions, KPIs, and source of truth tables using advanced SQL.
• Own DBT Cloud infrastructure and implement data modeling best practices.
• Collaborate with Analysts and Data Engineering to solve business problems.
• Develop Snowflake Intelligence AI to empower self-serve analytics.
• Stay current on tech trends in data analytics and sports betting and gaming.

Skills

SQL optimization

DBT modeling

GitHub

Dashboarding

Stakeholder mgmt

AI in analytics

Snowflake

Data infrastructure

Travel willingness

5+ years experience

Tools

DBT

Tableau

Power BI

Looker

Sigma

Snowflake

Job description

Fanatics Betting & Gaming is seeking an Analytics Engineer III to join our growing Data organisation. You will report to the Manager of Analytics Engineering and work with stakeholders to build accurate reports and deliver insights that drive growth.

You’ll own DBT Cloud infrastructure, design KPIs, and collaborate with Analytics and Data Engineering teams to solve complex business problems. A passion for learning and a proactive, data-driven mindset is essential.