Ops Analytics Manager: Lead AI-Driven Data Insights

Fanatics

Denver (CO)

On-site

USD 117,000 - 170,000

Full time

42 hours ago
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Job summary

Fanatics is seeking an Analytics Manager within the Strategic Operations & Analytics team to lead a small group of analysts and own end-to-end cross-functional data initiatives across CX, Fraud, Payments, WFM, and VIP. The role is hands-on, splitting time between people leadership and doing the work, including SQL, dbt, dashboards, and model reviews.

You will set data standards, build scalable analytics, and partner with central data teams while guiding AI-enabled analytics roadmap.

Qualifications

  • 6+ years in analytics, business intelligence, data analytics, or strategic operations.
  • 2+ years directly managing analysts as direct reports.
  • Advanced, hands-on SQL and live technical exercise.
  • Working fluency in dbt for building/reviewing models.
  • Experience owning complex cross-functional projects end-to-end.
  • Experience building dashboards in Sigma/Tableau or similar tools.
  • Strong stakeholder management and clear communication to senior leaders.
  • High attention to detail and data quality.

Responsibilities

  • Lead and coach a team of 2–3 analysts with goal setting and performance feedback.
  • Review SQL, dbt models, dashboards, and analyses to set technical/analytic bar.
  • Oversee prioritization of Ops stakeholder requests and resource decisions.

Skills

Advanced SQL
dbt proficiency
Analytics leadership
Cross-functional projects
Data dashboards
Stakeholder mgmt
Python scripting

Education

Bachelor's in Analytics/CS/Stats

Tools

Sigma
Tableau

Job description

Fanatics is seeking an Analytics Manager within the Strategic Operations & Analytics team to lead a small group of analysts and own end-to-end cross-functional data initiatives across CX, Fraud, Payments, WFM, and VIP. The role is hands-on, splitting time between people leadership and doing the work, including SQL, dbt, dashboards, and model reviews.

You will set data standards, build scalable analytics, and partner with central data teams while guiding AI-enabled analytics roadmap.

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