Manager, Data Analyst (Remote)

Fanatics is building a global digital sports platform spanning commerce, collectibles, and betting and gaming. The Manager, Data Analyst leads a small Operations Analytics team while remaining hands-on with SQL, analytics, dashboards, data foundations, automation, and AI enablement. The role owns complex cross-functional initiatives and delivers trusted insights and recommendations to operational stakeholders and senior leadership.

Responsibilities:

• Manage, coach, and develop a team of 2–3 analysts, including goal setting, regular feedback, performance management, and career development
• Set and hold the technical and analytical bar for the team's output, through direct review of SQL, dbt models, dashboards, and analyses
• Manage day-to-day prioritization across the team’s queue of Ops stakeholder requests, escalating broader tradeoffs and resourcing decisions to the Sr. Manager when needed
• Personally lead complex, cross-functional analytical initiatives end-to-end from an ambiguous business problem through scoping, analysis, and a decision-ready recommendation
• Diagnose root causes in the data rather than symptoms, and translate the diagnosis into a concrete recommendation
• Lead scenario analysis and impact sizing for product initiatives, operational changes, and staffing decisions - shaping how the question itself gets framed
• Set standards and guide the team’s approach to Ops dashboards and reporting, ensuring leaders have clear visibility into performance through well-defined KPIs and documented assumptions
• Present findings to operational stakeholders and senior leadership, and defend your methodology under scrutiny
• Own the quality and reliability of the dbt models and analytical datasets maintained by the Ops Analytics team
• Partner with central data teams as needed on upstream pipelines, data-platform needs, etc., representing Ops requirements and escalating reliability issues when needed
• Help the team replace recurring manual data pulls with maintainable reporting, automation, and alerting
• Partner with the Sr. Manager and Strategic Operations leaders on the Ops analytics AI roadmap, bringing an analytics perspective to use-case prioritization, data readiness, and validation
• Ensure the team provides the trusted data, metrics, and evaluation frameworks needed to support agent development
• Track and report on the performance of deployed agents against agreed-upon Ops goals
• Help establish where AI can be trusted in analytical workflows and where human review and judgment should remain in the loop

Requirements:

• 6+ years in analytics, business intelligence, data analytics, or strategic operations
• 2+ years directly managing analysts as direct reports, including performance management, hiring, and career development
• Advanced, hands-on SQL. You write, QA, and optimize complex queries yourself today, and you review others' work at that level
• Working fluency in dbt: You can build and review models, make sound design decisions, and identify issues in your team's work
• Demonstrated experience owning complex, cross-functional projects end-to-end, from ambiguous ask to stakeholder-ready recommendation
• Experience building and maintaining dashboards in Sigma, Tableau, or a comparable tool
• Strong stakeholder management: you communicate complex problems clearly to senior leaders and propose alternative approaches when the data warrants it
• High attention to detail - you and your team catch data quality issues before they surface in leadership reporting
• Experience supporting AI/ML workflows, agent builds, or automation initiatives
• Python or a similar scripting language for data manipulation and automation
• Familiarity with operational KPIs across customer support, fraud, payments, or workforce management
• Experience in gaming, fintech, or sports
• Bachelor's degree in Analytics, Computer Science, Statistics, Economics, or a related field