• You will be a close business partner to our teams, collaborating with colleagues to translate their requirements into actionable data solutions and support them in decision-making. • You will build and maintain scalable data models to support analysis and reporting requirements. • You will develop and optimize data products to enable self-service analytics across the company. • You will evolve our data infrastructure to ensure efficient data processing and delivery. • You will ensure data quality through test frameworks, validation processes, and comprehensive documentation. • You will confidently challenge assumptions and advocate for data-informed approaches, including with senior stakeholders.

• Provide expertise in advanced data analysis within specific domains such as clinical healthcare, readiness, logistics, or research • Translate domain-specific requirements into data definitions, business metadata, and semantic tagging standards • Support data governance initiatives, including metadata validation, stewardship workflows, and data quality assessments • Analyze sensitive datasets containing PHI/PII in compliance with HIPAA, DoD, and DHA policies • Collaborate with clinicians, operational leaders, and technical teams to ensure data products align with mission needs

• Develop a strong understanding of Fanatics Betting and Gaming. • Build strong relationships with internal stakeholders in finance, performance, marketing, engineering, legal & compliance, operations, commercial, and external regulatory authorities. • Provide leadership, mentoring and technical expertise within the Casino Analytics team, being ready to delve into other areas of business analytics as needed - especially in the early days of our team's growth. • Be a hands-on analyst, creating insights both regular and ad hoc. Gather and present insights metrics and activities to key stakeholders, becoming a trusted source of intelligence and advisory over time. • Remain current on technology and trends in data analytics and the sports betting & gaming world.

• Own and drive end-to-end product analytics and experimentation for key consumer-facing products and initiatives • Design, execute, and analyze A/B and multivariate experiments • Partner with Product Managers to define clear hypotheses, success metrics, and guardrails for experiments and product launches • Conduct deep-dive analysis on user behavior, funnels, cohorts, and journeys • Translate complex analytical findings into clear, actionable recommendations for technical and non-technical stakeholders • Develop and maintain key product KPIs, dashboards, and monitoring metrics • Ensure accurate event tracking and data instrumentation for new and existing product features • Build analytical models or ML solutions where appropriate • Act as a thought partner and data leader within product teams • Support ad-hoc analyses and strategic deep dives that influence roadmap prioritization and business strategy