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Salary: USD 128,250 - 168,750 / annual
Fanatics is a global digital sports platform serving over 100 million sports fans through commerce, collectibles, and betting & gaming products. The Fanatics Betting and Gaming division, launched in 2021, operates the Fanatics Sportsbook (available to 95% of the US addressable market) and Fanatics Casino across multiple states, with retail locations including the only sportsbook inside an NFL stadium.
You will join as Senior Data Analyst for Finance Analytics, reporting to the Senior Manager of Financial Analytics. This is a greenfield role building the complete financial reporting function for a new iCasino and horse racing product from scratch. You will own end-to-end responsibility: data modeling, SQL transformations, BI development, and executive reporting with direct visibility to leadership.
Key responsibilities include:
- Build and maintain the complete financial reporting infrastructure for the new iCasino division—dashboards, recurring reports, and KPI tracking—from scratch
- Own data modeling in partnership with the analytics engineering team through to final reporting in Sigma and Oracle
- Join and transform large, complex datasets using SQL, Snowflake, and dbt to support cross-functional reporting needs
- Surface insights on business operations and communicate findings clearly to finance and business stakeholders
- Design and develop BI solutions in Sigma following industry best practices
- Help implement and maintain best practices for internal and external Sigma environments
- Collaborate with analysts and data engineers to solve business problems and build scalable solutions
- Leverage GenAI tools (Snowflake Cortex, Claude, GitHub Copilot) to automate workflows and improve reporting efficiency
- Train and mentor others on BI best practices and newer Snowflake and Claude functionalities
- Stay current on trends in data analytics and the sports betting and gaming industry
You will partner closely with stakeholders across engineering, finance, legal & compliance, operations, and commercial teams. This role thrives in fast-moving environments and requires real end-to-end ownership.
REQUIREMENTS:
- 4+ years of experience in an analyst role within a fast-paced, high-growth environment
- Strong SQL skills—querying and working with large datasets across platforms including Snowflake, BigQuery, MSSQL, Vertica, Presto, or PostgreSQL
- Experience with dbt Core or dbt Cloud—building models, transformations, and reports
- Proficiency with a BI/visualization tool—Sigma, Tableau, Looker, or similar
- True end-to-end project ownership—you've built things from scratch, not just contributed to them
- Ability to communicate clearly with both engineering teams (requirements) and non-technical stakeholders (insights and progress)
- Strong accountability and autonomy—you don't need heavy direction to operate
NICE TO HAVE:
- Python for data wrangling and pipeline building
- GenAI tools (Claude, ChatGPT, Snowflake Cortex, GitHub Copilot)
- Gaming, casino, or sports betting industry experience
- Startup or consulting background
- Experience working alongside finance teams as a data practitioner
