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Fanatics

China-based licensed sports merchandise retailer

Senior Analytics Engineer

Data Engineering +1Updated on Nov 14
Full-time$140.1k - $193.8kIn-person

About the Job

Requirements

  • At least 6 years of experience in analytics engineering, business intelligence, or a related field.
  • Advanced SQL skills, including independently writing, quality-assuring, and optimizing complex queries against large, imperfect datasets.
  • Experience building and maintaining dashboards in Tableau, Power BI, QuickSight, Looker, or similar business intelligence tools.
  • Hands-on experience with cloud data infrastructure, including AWS services and the Databricks platform, such as Delta Lake, Databricks SQL, and workflow orchestration.
  • Demonstrated experience owning complex, cross-functional projects end-to-end, from ambiguous requests 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, including experimental design and hypothesis testing, regression analysis, causal inference, time-series forecasting, multivariate analysis, segmentation and clustering, and Bayesian methods, applied through structured problem-solving frameworks for business analysis.
  • Strong stakeholder management and communication skills, including experience presenting to leadership and senior stakeholders, clearly translating complex problems, and proposing alternatives when warranted by the data.
  • High standards for data quality and accuracy, including identifying issues before they surface in leadership reporting.

Responsibilities

  • Lead complex, cross-functional analytical initiatives end-to-end, from an ambiguous business problem through scoping and analysis to 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, explaining causes and recommending actions beyond surface-level reporting.
  • Present findings to stakeholders and senior leadership, and defend the methodology under scrutiny.
  • Diagnose root causes in the data 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 to reduce recurring manual data pulls and repetitive manual decision-making.
  • Define key performance indicator definitions and methodology, then build the underlying data pipelines and visualizations.
  • Standardize reporting and unify processes across cross-functional teams.
  • Build and maintain a source of truth for internal business questions to support decision-making.
  • Build and maintain a knowledge repository to support the business's AI chat agent.
  • Design and build the logic that enables the chat agent to answer business questions accurately.
  • Build evaluation frameworks and guardrails to determine when the chat agent can operate independently and when it should defer to human review.

Desired Qualifications

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

About the Company

Fanatics

China-based licensed sports merchandise retailer

Fanatics China is a joint venture between Fanatics Inc. and Hillhouse Capital that localizes and scales licensed sports merchandise for China. It designs, manufactures, and markets fan gear for Chinese consumers, operating a multi-channel model that includes building and running e-commerce sites for global leagues and teams, exploring online marketplaces, and developing physical retail concepts. Its product workflow combines technology, data, and on-demand manufacturing to manage the entire supply chain, enabling fast response to demand. The company differentiates itself through a China-focused approach backed by Hillhouse’s network and investments, its end-to-end vertical commerce model, and partnerships with hundreds of sports organizations, which together help it navigate China’s complex retail landscape. The goal is to satisfy a previously underserved Chinese market for licensed sports merchandise by creating localized products and channels that connect fans with official gear.

Company size
10,001+
Company stage
Growth Equity (Venture Capital)
Total funding
$5.2B
Headquarters
Huangpu, China
Founded
1995

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