Senior Analytics Engineer, Topps Digital

Fanatics; Los Angeles (CA); On-site; USD 140,000 - 175,000; Full time

Job summary

Fanatics is seeking a Senior Analytics Engineer in Los Angeles to bridge data and business decisions. You will own BI dashboards, AI-driven insights, and cross-functional analytics initiatives, partnering with leaders to shape performance understanding and decisions.

You will build data pipelines, standardize reporting, and drive AI-enabled capabilities, balancing rigor with practical business impact in a fast-paced ecommerce environment.

Qualifications

• 6+ years in analytics engineering, BI or related field.
• Advanced SQL skills; write, QA and optimize large queries.
• Experience building dashboards in BI tools (Tableau/Power BI/Looker).
• Cloud data infra with AWS and Databricks expertise.
• Experience owning cross-functional projects end-to-end.
• Experience integrating AI tools into analytics.
• Strong organizational and multi-project management abilities.
• Excellent stakeholder communication and leadership experience.
• Commitment to data quality and rigorous analysis.

Responsibilities

• Lead end-to-end cross-functional analytics initiatives.
• Validate opportunities with scenario analysis and impact sizing.
• Apply rigorous statistical methods to business questions.
• Present findings to leadership and defend methodologies.
• Diagnose root causes and translate to actionable recommendations.
• Build and maintain dashboards, reporting, and AI insights in Databricks.
• Automate workflows and define KPI definitions and pipelines.
• Standardize reporting across teams and maintain a source of truth.
• Collaborate with teams to shape decision making.

Skills

SQL proficiency

Dashboard development

Stakeholder management

Project leadership

AI integration

Data storytelling

Statistical knowledge

Cloud data infra

Tools

Databricks

AWS

Tableau

Power BI

Looker

Python

Asana

Jira

Job description

About Us

Fanatics is building a leading global digital sports platform. We ignite the passions of global sports fans and maximize the presence and reach for our hundreds of sports partners globally by offering products and services across Fanatics Commerce, Fanatics Collectibles, and Fanatics Betting & Gaming, allowing sports fans to Buy, Collect, and Bet. Through the Fanatics platform, sports fans can buy licensed fan gear, jerseys, lifestyle and streetwear products, headwear, and hardgoods; collect physical and digital trading cards, sports memorabilia, and other digital assets; and bet as the company builds its Sportsbook and iGaming platform. Fanatics has an established database of over 100 million global sports fans; a global partner network with approximately 900 sports properties, including major national and international professional sports leagues, players associations, teams, colleges, college conferences and retail partners, 2,500 athletes and celebrities, and 200 exclusive athletes; and over 2,000 retail locations, including its Lids retail stores. Our more than 22,000 employees are committed to relentlessly enhancing the fan experience and delighting sports fans globally.

About the Team

Fanatics is building a leading global digital sports platform. We ignite the passions of global sports fans and maximize the presence and reach for our hundreds of sports partners globally by offering products and services across Fanatics Commerce, Fanatics Collectibles, and Fanatics Betting & Gaming, allowing sports fans to Buy, Collect, and Bet. Through the Fanatics platform, sports fans can buy licensed fan gear, jerseys, lifestyle and streetwear products, headwear, and hardgoods; collect physical and digital trading cards, sports memorabilia, and other digital assets; and bet as the company builds its Sportsbook and iGaming platform. Fanatics has an established database of over 100 million global sports fans; a global partner network with approximately 900 sports properties, including major national and international professional sports leagues, players associations, teams, colleges, college conferences and retail partners, 2,500 athletes and celebrities, and 200 exclusive athletes; and over 2,000 retail locations, including its Lids retail stores. Our more than 22,000 employees are committed to relentlessly enhancing the fan experience and delighting sports fans globally.

Topps Digital, part of Fanatics Collectibles, powers digital collecting experiences across major sports and entertainment brands, including MLB, NFL, NBA, Global Football, WWE, UFC, Disney, Marvel, and Star Wars. It features digital collectible apps across sports and entertainment, bringing Topps' decades of trading card heritage into a mobile, digital-first format for collectors.

Role Summary

As a Senior Analytics Engineer at Topps Digital, part of Fanatics, you'll be the bridge between raw data and business decisions, owning everything from BI dashboards to AI-powered insights. We're looking for someone self-motivated and intellectually curious, who doesn't just answer the question asked, but challenges assumptions, asks why, and brings new, innovative thinking to the table. This isn't just an individual contributor role, you'll act as a thought leader, partnering directly with functional leads across the business to shape how we understand performance and make decisions.

What You'll Do

Analytical Work & Insights

• Lead complex, cross-functional analytical initiatives end-to-end, from an ambiguous business problem through scoping, analysis, and a decision-ready recommendation.
• Conduct analyses that validate business opportunities and support key decisions, including scenario analysis and impact sizing.
• Apply statistical rigor and structured problem-solving to business questions, going beyond surface-level reporting to explain why something is happening and what to do about it.
• Present findings to stakeholders and senior leadership, and defend your methodology under scrutiny.
• Diagnose root causes in the data, not just symptoms, and translate findings into concrete, actionable recommendations.
• Build and maintain dashboards, automated reporting, and AI-driven insight tools within the Databricks ecosystem.
• Optimize and automate operational workflows across the business, reducing reliance on recurring manual data pulls and repetitive, manual decisioning.
• Define KPI definitions and methodology, then build the underlying pipelines and visualizations.
• Standardize reporting and unify process across cross-functional teams.
• Build and maintain a source of truth for internal business questions to help drive decisions.

AI Enablement

• Build and maintain a knowledge repository to support the business's AI chat agent.
• Design and build the logic that power the chat agent's ability to answer business questions accurately.
• Build the evaluation frameworks and guardrails that determine when the chat agent can operate independently and when it should defer to human review.

Required Qualifications

• 6+ years of experience in analytics engineering, business intelligence, or a related field.
• Advanced SQL skills, with the ability to independently write, QA, and optimize complex queries against large, imperfect datasets.
• Experiencing building and maintaining dashboards in Tableau, Power BI, QuickSight, Looker, or similar BI tools.
• Hands-on experience with cloud data infrastructure, including AWS services and the Databricks platform (e.g., Delta Lake, Databricks SQL, and workflow orchestration).
• Demonstrated experience owning complex, cross-functional projects end-to-end, from ambiguous ask to stakeholder-ready recommendations.
• Experience integrating AI tools into analytics workflows.
• Strong organizational skills and the ability to manage multiple projects simultaneously.
• Experience with project management tools such as Asana or Jira, and familiarity with agile frameworks.
• Command of statistical methods, such as experimental design/hypothesis testing, regression analysis, causal inference, time-series forecasting, multivariate analysis, segmentation/clustering, and Bayesian methods, applied through structured problem-solving frameworks for business analysis.
• Strong stakeholder management and communication skills, with demonstrated experience presenting to leadership and senior stakeholders, translating complex problems clearly, and proposing alternative approaches when the data warrants it.
• An insistence on the highest standards of data quality and accuracy, catching issues before they surface in leadership reporting.

Preferred Qualifications

• Experience with Python, R, or relevant statistical programming languages.
• Background in e-commerce, sports, entertainment, and/or mobile gaming industries.
• A genuine interest in Fanatics, collectibles, mobile apps and gaming, and sports.

The salary range represents base pay only and does not include short-term or long-term incentive compensation. This salary range is specific to Los Angeles and may not be applicable to other locations. When determining base pay, as part of a final compensation package, we consider several factors such as location, experience, qualifications, and training. For information about our benefits, please visit https://benefitsatfanatics.com/

Los Angeles Salary Range

$140,120 - $175,150 USD

The salary range represents base pay only and does not include short-term or long-term incentive compensation. This salary range is specific to New York City and may not be applicable to other locations. When determining base pay, as part of a final compensation package, we consider several factors such as location, experience, qualifications, and training. For information about our benefits, please visit https://benefitsatfanatics.com/

Voluntary Self-Identification

For government reporting purposes, we ask candidates to respond to the below self-identification survey.Completion of the form is entirely voluntary. Whatever your decision, it will not be considered in the hiringprocess or thereafter. Any information that you do provide will be recorded and maintained in aconfidential file.

As set forth in Fanatics Collectibles’s Equal Employment Opportunity policy,we do not discriminate on the basis of any protected group status under any applicable law.

If you believe you belong to any of the categories of protected veterans listed below, please indicate by making the appropriate selection.As a government contractor subject to the Vietnam Era Veterans Readjustment Assistance Act (VEVRAA), we request this information in order to measurethe effectiveness of the outreach and positive recruitment efforts we undertake pursuant to VEVRAA. Classification of protected categoriesis as follows:

A \"disabled veteran\" is one of the following: a veteran of the U.S. military, ground, naval or air service who is entitled to compensation (or who but for the receipt of military retired pay would be entitled to compensation) under laws administered by the Secretary of Veterans Affairs; or a person who was discharged or released from active duty because of a service-connected disability.

A \"recently separated veteran\" means any veteran during the three-year period beginning on the date of such veteran's discharge or release from active duty in the U.S. military, ground, naval, or air service.

An \"active duty wartime or campaign badge veteran\" means a veteran who served on active duty in the U.S. military, ground, naval or air service during a war, or in a campaign or expedition for which a campaign badge has been authorized under the laws administered by the Department of Defense.

An \"Armed forces service medal veteran\" means a veteran who, while serving on active duty in the U.S. military, ground, naval or air service, participated in a United States military operation for which an Armed Forces service medal was awarded pursuant to Executive Order 12985.