• Advance the analytics layer end-to-end: Design, build, and maintain core dbt models that represent the business (e.g. customers, revenue, marketing performance, operations) and keep them production-ready. The means creating the source of truth for the business to operate on. • Define and evolve company metrics: Partner with stakeholders to create clear, consistent metric definitions, and implement them in Omni so teams can self-serve with confidence. • Lead cross-domain initiatives: Deliver high-impact analytics engineering projects that span multiple domains and teams—driving alignment, sequencing work, and shipping outcomes. • Make pragmatic modelling trade-offs: Balance speed, accuracy, and long-term maintainability; set patterns that scale as the company grows. • Raise data quality and trust: Introduce and maintain standards using dbt tests, CI/CD, documentation, and lightweight governance; catch issues early and reduce regressions. • Partner upstream to fix root causes: Work closely with Data Engineering to diagnose data issues, improve source/warehouse design, and keep the warehouse performant and reliable.

• Develop a strong understanding of Fanatics Betting and Gaming, as well as related products and operations. • Design and build insightful metric definitions, KPIs, and source of truth tables utilizing advanced sql • Ownership of our DBT cloud infrastructure and implementation of data modeling best practices • Collaboration with other Analysts and Data Engineering teams to find solutions to business problems. • Develop our Snowflake Intelligence AI to help empower teams to self-serve analytics. • Remain current on technology and trends in data analytics and the sports betting & gaming industry.

• Develop a strong understanding of Fanatics Betting and Gaming, as well as related products and operations. • Design and build insightful metric definitions, KPIs, and source of truth tables utilizing advanced sql • Ownership of our DBT cloud infrastructure and implementation of data modeling best practices • Collaboration with other Analysts and Data Engineering teams to find solutions to business problems. • Develop our Snowflake Intelligence AI to help empower teams to self-serve analytics. • Remain current on technology and trends in data analytics and the sports betting & gaming industry.

• Manage the data layer and intelligence layer of ecares, including: Patient, provider, scheduling, and care coordination data Operational performance metrics Product analytics for new features Predictive models for access, utilization, and outcomes Data pipelines and experimentation frameworks • Build and manage data pipelines connecting: eClinicalWorks (eCW) ecares health Operational systems • Design data models that reflect real healthcare workflows • Create prototypes, simulations, and experiments to test: Scheduling efficiency No-show reduction Care coordination outcomes • Partner with: Product owners Software engineers Operations and clinical leaders • Define and track KPIs that matter in healthcare: Access Throughput Outcomes Utilization • Help decide what features should be built based on data • Design analytics that are embedded directly into the product • Operate as both a data engineer and a product & operations consultant.