Develop a strong understanding of Fanatics Betting and Gaming, as well as related products and operations.
Partner with CRM Strategy & Planning and cross-functional working groups to diagnose performance, identify trends and surface actionable optimization opportunities.
Analyze customer behavior across the full lifecycle; welcome, early-life, in-life actives, retention and reactivation to identify drivers of engagement, conversion and long-term value.
Develop and apply customer lifecycle analytics and segmentation frameworks to understand cohort behavior, lifecycle progression and shifts in customer value over time.
Support the adoption of ML and AI models within CRM, including propensity models, next-best-action and offer optimization, partnering with Data Science to integrate predictive models into lifecycle programs and campaign orchestration.
Build and maintain CRM BI dashboards to support performance monitoring, insight discovery and decision-making.
Collaboration with other Analysts and Data Scientists to find solutions to business problems.
Remain current on technology and trends in data analytics and the sports betting & gaming industry.

A minimum of 4 years proven experience in an analytics role.
Degree in a relevant field, e.g. Mathematics, Physics, Statistics, Engineering, or Computer Science.
Strong SQL proficiency.
Experience with data visualization and reporting tools, e.g. Tableau, Sigma or PowerBI.
Hands-on experience with customer lifecycle analytics, analyzing behavior across multiple lifecycle stages.
Proven experience building and applying segmentation frameworks to drive insight, experimentation and personalization.
Solid understanding of multi-touch attribution, incrementality and campaign interaction effects, particularly within owned CRM channels.
Demonstrated experience designing experiments and interpreting results with statistical rigor.
Demonstrated ability to partner closely with stakeholders, earning trust and prioritizing relationships.
Customer focused; highly outcome-oriented and data-driven; experienced in working in high-growth environments.
Logical and analytical approach to problem solving, with strong organizational and communication skills.
Previous experience in the betting and gaming industry is a significant plus.
Strong proficiency in a statistical programming language, e.g. R or Python would be an advantage

Data Analyst III – CRM

Key skills