About this role
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 Analyst, you will own the analyses that answer the big questions driving Customer Operations forward. This is a hands-on role built for someone who is energized by complex problems, comfortable working independently, and produces analyses that are ready to act on. You will own significant workstreams end to end, from framing the approach through to a finished product. This is a senior individual contributor role. You will not manage a team, but you are expected to operate with the judgment and ownership that reflects your experience. Responsibilities Design and deliver high-complexity analyses across Customer Operations, including operational performance, customer behavior, and strategic initiatives. Build and maintain Tableau dashboards and reporting that give stakeholders clear, accurate visibility into operational performance. Structure complex business problems into clear analytical approaches and present findings in a way that is accessible to non-technical stakeholders. Work within defined analytical priorities to identify the right data, metrics, and methodology before building toward answers. Engage with stakeholders to clarify requirements and ensure the analytical approach addresses the right problem. Identify trends and surface insights proactively, not only in response to requests. Leverage AI tools to accelerate analytical work while maintaining full ownership of the output and the judgment behind it. Build data-backed analyses and business cases to support new initiatives, tooling, or resource decisions. Create and maintain clear documentation for metrics definitions, analytical methodologies, and recurring reports. Validate data integrity and ensure analytical outputs are grounded in accurate, well-understood sources before drawing conclusions. Collaborate with the BI team on shared data, metrics, and stakeholder context to ensure consistency across analyses.