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Agent guide: [/agents.md](https://www.wearedevelopers.com/agents.md). --- # Lead Sportsbook BI Analyst - **Company:** Hard Rock Digital - **Location:** United States (Remote available) - **Experience:** Expert - **Contract:** Permanent contract - **Skills:** Artificial Intelligence, Customer Data Management, Information Engineering, Data Visualization, Python (Programming Language), Power BI, SQL Databases, Tableau (Software), Large Language Models, Snowflake, Databricks - **Published:** September 4, 2026 - **Apply:** https://startup.jobs/lead-bi-analyst-sportsbook-hard-rock-digital-9021780 ## About the Role * Deep expertise in Business Intelligence, Data Analytics, or Data Science, with direct experience in sports betting or gaming * Strong command of US sports and sports betting markets, with understanding of sportsbook economics and key performance drivers * Proven track record of influencing business strategy and driving measurable outcomes through analytics * Expert-level SQL and advanced proficiency in Python or R for analysis and modeling * Fluent with AI tools to extend analytical range, from automation to LLM-powered workflows, applied to work you could deliver without them * Strong data visualization skills (Tableau, PowerBI, or similar), paired with the storytelling ability to turn complex analysis into insight leadership can act on * Advanced understanding of probability, statistics, and their application to business problems * Comfortable building data products and partnering with technical teams to scale analytical capabilities * Proactive ownership mindset paired with insatiable curiosity, spotting the opportunities others miss and asking the questions nobody else is asking ## Description 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., * 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 ## Related Videos - [Beyond Dashboards: Fixing Text-to-SQL with Semantic RAG](https://www.wearedevelopers.com/videos/2036-beyond-dashboards-fixing-text-to-sql-with-semantic-rag) - [Data Science in Retail](https://www.wearedevelopers.com/videos/586-data-science-in-retail) - [Cutting LLM Costs Without Cutting Quality: How to Beat Proprietary LLMs with Fine-Tuned Open Source](https://www.wearedevelopers.com/videos/100151-cutting-llm-costs-without-cutting-quality-how-to-beat-proprietary-llms-with-fine-tuned-open-source) - [How Cisco embraced a DevOps culture within its network engineering team](https://www.wearedevelopers.com/videos/99-how-cisco-embraced-a-devops-culture-within-its-network-engineering-team) - [OLTP in the Lakehouse: Redefining Data for AI Workloads](https://www.wearedevelopers.com/videos/2038-oltp-in-the-lakehouse-redefining-data-for-ai-workloads) - [Enabling intelligent logistics automation: home-grown Industrial IoT platform at Austrian Post](https://www.wearedevelopers.com/videos/2018-enabling-intelligent-logistics-automation-home-grown-industrial-iot-platform-at-austrian-post) ## Related Articles - [Navigating the AI Shift](https://www.wearedevelopers.com/magazine/629-navigating-the-ai-shift) - [Graph and AI Trends 2026: Why Is AI Running but Not Yet Delivering?](https://www.wearedevelopers.com/magazine/680-graph-and-ai-trends-2026-why-is-ai-running-but-not-yet-delivering) - [Highest Paying Tech Companies for Developers](https://www.wearedevelopers.com/magazine/220-highest-paying-tech-companies-for-developers) - [Top Big Data Technologies That You Need to Know](https://www.wearedevelopers.com/magazine/108-top-big-data-technologies-that-you-need-to-know) - [Coffee with Developers - Maria Apazoglou - Making AI understandable for all in production](https://www.wearedevelopers.com/magazine/475-coffee-with-developers-maria-apazoglou-making-ai-understandable-for-all-in-production) - [13 AI Tools You Have to Try](https://www.wearedevelopers.com/magazine/219-13-ai-tools-you-have-to-try)