Lead BI Analyst - Sportsbook

 What are we building?

Hard Rock Digital is a team focused on becoming the best online sportsbook, casino, and social gaming company in the world. We're building a team that resonates passion for learning, operating, and building new products and technologies for millions of consumers. We care about each customer interaction, experience, behavior, and insight and strive to ensure we're always acting authentically.

Rooted in the kindred spirits of Hard Rock and the Seminole Tribe of Florida, Hard Rock Digital taps a brand known the world over as the leader in gaming, entertainment, and hospitality. We're taking that foundation of success and bringing it to the digital space - ready to join us?

What's the position?

As Lead Sportsbook BI Analyst, you'll be a senior analytical leader on our BI team, reporting to the Senior Manager of Sportsbook BI. You'll drive strategic insights that shape our sportsbook's competitive position and bottom-line performance. Your deep understanding of sports betting combined with analytical rigor will identify opportunities, optimize operations, and influence executive decisions that move the business forward.

Key Responsibilities:

• Drive business performance insights. Proactively identify revenue opportunities, margin improvements, and strategic risks across trading, pricing, product, and customer behavior. Translate complex data into compelling narratives that influence sportsbook strategy and investment decisions

• Be a strategic advisor to leadership. Partner with VP and Director-level stakeholders across Trading, Product, Marketing, and Operations to answer critical business questions and shape strategic direction. Push back on the framing of a request when the data warrants it

• Own high-impact analytical projects. Lead our most complex analyses from the point where the problem is still undefined through implementation, delivering insights that directly influence P&L, customer strategy, and competitive positioning

• Build scalable analytical infrastructure. Partner with Data Engineering to create robust data products and models (using tools like DBT, Snowflake, Databricks) that enable the team to work faster and answer harder questions

• Elevate the team. Set the standard for analytical excellence, mentor other analysts, and demonstrate "what good looks like" in everything from stakeholder engagement to technical execution