Operations Analyst, Strategy & Analytics

Fanatics Betting & Gaming•Denver, CO

10h•Hybrid

About The Position

As an Operations Data Analyst at Fanatics Betting & Gaming, you are on the front lines of how the Customer Operations Team understands its own performance. This role sits within the Analytics & AI Enablement team and is the connective tissue between the data and the decision: you'll build and own the analytical foundations that Ops leaders across Customer Support, Fraud, Payments, and WFM rely on, and then you'll translate what it means, guide recommendations, and align stakeholders on what to do next. Technical depth alone isn't enough for this seat. We need someone who's as strong in SQL as they are at turning that analysis into a clear, persuasive narrative and building real working relationships across a fast-moving, cross-functional organization. Think less "analyst who reports numbers" and more "operator who happens to be excellent with data."

Requirements

2–4 years of experience in Strategy, Consulting, Strategic Operations, or a closely related analytical role.
Strong hands-on SQL skills — able to write, QA, and optimize complex queries independently.
Excellent communication and storytelling skills, with experience presenting to senior leadership.
A natural problem solver with a strong bias toward action and a track record of driving things to completion.
Empathetic team player who works effectively across functions and builds trust quickly with new stakeholders.
Curious, fast learner who's genuinely interested in the sports betting / iGaming space.
Comfortable operating in a fast-paced, ambiguous, hyper-growth environment where priorities shift.

Nice To Haves

Experience building or maintaining dashboards in Sigma, Tableau, or a comparable BI tool.
Familiarity with DBT or a similar data transformation framework.
Exposure to AI/ML-adjacent workflows, agent builds, or automation initiatives.
Familiarity with operational KPIs across customer support, fraud, payments, or workforce management.
Experience with Python or a similar scripting language for data manipulation.
Bachelor's degree in Business, Analytics, Economics, Computer Science, or a related field.

Responsibilities

Translate complex, sometimes messy data into a clear point of view with actionable recommendations Ops teams can use
Present findings and proposals directly to Ops leaders and senior stakeholders with confidence and polish
Build genuine working relationships across Payments, Fraud, Product, WFM, and CX - you're a collaborator first, not just a data provider.
Read the room: know when a stakeholder needs the executive summary versus the full methodology, and adjust accordingly.
Manage multiple concurrent projects with clear, consistent communication to stakeholders and leadership.
Own your domain end-to-end: build the pipelines, maintain the dashboards, and surface the insights before anyone has to ask.
Write, QA, and optimize complex SQL independently - comfortable with SQL is a must-have
Proactively catch data quality issues and resolve them (or escalate them) before they surface in leadership reporting.
Deprecate manual, one-off reporting in favor of automated, always-on solutions.
Autonomously drive short and long-term projects from problem definition through execution, with a strong bias toward action.
Support the Ops AI roadmap - pulling data, building the business case, and validating the data foundation before a build kicks off.
Track and report on AI agent performance post-deployment against top-line Ops goals.
Build lightweight alerting on critical Ops metrics to reduce reactive firefighting.