Director, Strategy Analytics

Fanatics, Inc.

Director of Strategy Analytics driving data-informed marketing strategies at Fanatics Commerce. Collaborating with digital marketing teams to enhance customer acquisition across various channels.

Posted 7/11/2026full-timeSan Mateo • California • 🇺🇸 United StatesLead💰 $143,000 - $235,000 per yearWebsite

Tech Stack

Tools & technologies

SQL

About the role

Key responsibilities & impact

Translate complex digital marketing data across Paid Search, Paid Social, Display, and Affiliate channels into clear, actionable insights that directly improve the fan acquisition experience and customer journey.
Develop and maintain data visualizations and dashboards that enable the organization to continuously monitor performance and identify opportunities to improve both profitability and user experience.
Partner with digital marketing channel managers to identify growth opportunities and cost savings that enhance how fans discover and engage with Fanatics Commerce's eCommerce platform.
Apply cross-channel impact analysis — including cannibalization, partial channel attribution, and marketing mix modeling — to ensure fans are reached through the most effective and efficient channels.
Dig two to three layers below the surface of marketing data to uncover non-obvious insights that drive smarter investment decisions and unlock new growth levers.
Partner with data science to build, optimize, and productionalize bidding models that improve the efficiency and performance of digital marketing spend.
Hypothesize opportunities within complex data sets, design and execute test plans, analyze results, and synthesize findings into concrete recommendations for senior leadership.
Drive the adoption of advanced statistical methods and analytic tools to continuously evolve the team's analytical capabilities and rigor.
Take full ownership of the end-to-end analytics lifecycle — from data exploration and hypothesis generation through test design, analysis, and actionable recommendation — and drive each initiative to a conclusion.
Gain and maintain a deep understanding of the factors driving digital marketing sales, cost, ROI, and marginal returns across all channels.
Lead the development of scalable data visualization and reporting infrastructure that empowers the broader organization to make faster, more informed decisions.
Operate with a proactive, get-it-done mindset — identifying problems before they escalate and independently driving solutions across complex, ambiguous environments.
Serve as a strategic analytics partner to Digital Marketing channel managers and business stakeholders, translating analytical findings into commercially relevant recommendations that influence channel strategy and budget allocation.
Collaborate with data science, engineering, and business intelligence teams to ensure analytics infrastructure, models, and tools are built to scale and meet evolving business needs.
Effectively communicate complex analysis to non-technical stakeholders and senior leadership, building confidence and alignment around data-driven decision-making.
Set a high analytical bar for the Strategy & Analytics team, fostering a culture of intellectual curiosity, rigor, and continuous improvement.
Mentor and develop team members by modeling deep-dive analytical thinking and equipping them with frameworks to uncover insights that drive meaningful business impact.
Apply AI and technology to improve efficiency, quality, and outcomes
Use data and digital tools to inform decisions and enhance performance
Demonstrate curiosity and adaptability in adopting new technologies and ways of working
Contribute to a culture of innovation and continuous improvement

Requirements

What you’ll need

8+ years of experience in eCommerce, with a focus on digital marketing analytics and a demonstrated track record of career growth and measurable business influence.
Deep expertise across digital marketing channels and attribution fundamentals, including last-click, LTV, pixel-based measurement, and DTC eCommerce funnel progression.
Proficiency in SQL is required; hands-on experience working with large, complex data sets to generate insights and support decision-making at scale.
Strong analytical, technical, and problem-solving skills with exceptional attention to detail and the ability to independently drive projects to completion.
Understanding of statistical concepts and methods; advanced statistics and working knowledge of at least one analytic or statistical software package (e.g., R) strongly preferred.
Proven ability to communicate complex analytical findings clearly and persuasively to non-technical stakeholders and senior leadership.
Experience leading cross-functional initiatives and partnering with teams across marketing, data science, and engineering to deliver complex, high-impact projects.

Benefits

Comp & perks

Health, dental, and vision insurance
401(k) plan with company match
Paid time off and holidays
Professional development opportunities
Flexible work arrangements

ATS Keywords

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Applicant Tracking System Keywords

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Hard Skills & Tools

Data AnalysisAttribution FundamentalsMarketing Mix ModelingBidding Model OptimizationTest Design and ExecutionStatistical Software (R)Data ExplorationHypothesis GenerationPerformance MonitoringROI Analysis

Soft Skills

Problem-SolvingAttention to DetailCommunicationMentoringCuriosity