• 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

• Develop strategies to improve payment-processing efficiency and reduce operational risk. • Identify opportunities to optimize our processing strategies and customer interventions. Work with stakeholders to prioritize and plan for improvement. • Collaborate with software engineers, data science, operations, finance, and product managers to implement and measure new strategies and enhancements to the platform • Create automated monitors to systematically detect anomalies, identify discrepancies, errors, or potential fraud, and take appropriate action. • Conduct thorough investigations into payment-related issues, errors, and returns. Collaborating with internal teams to resolve discrepancies promptly. • Develop and maintain detailed documentation of payment processes, procedures, and workflows. Mentor and train others on the same. • Perform reconciliations and audits of financial data to ensure accuracy and integrity. • Support cross-functional projects and initiatives related to payment systems and operations.