The Athletic
The Athletic
The Athletic is a subscription-based sports media company founded in 2016, producing detailed reporting, live updates, and expert analysis across football, tennis, Formula 1, golf, MLB, NFL, NBA, NHL, and college sports. Its editorial team covers major leagues, tournaments, events, and players through in-depth journalism for sports audiences.

Senior Manager, Data Analytics

Lead Growth Product Insights at The Athletic, a sports media company. Manage analysts and use experimentation to inform subscription and product decisions.

Description

  • Lead, mentor, and develop a team of data analysts.
  • Set a high standard for analytical rigor, assess statistical methods, and contribute directly to ambiguous, high-stakes work.
  • Move the team beyond reactive analytics and dashboard upkeep toward proactive strategic investigation.
  • Explain the drivers behind performance metrics and turn findings into actionable business recommendations.
  • Work with Product, Design, and Growth leaders to shape roadmap strategy and prioritize high-impact initiatives.
  • Set clear learning goals before analytical work begins.
  • Oversee product experiments, including A/B tests, causal inference, and behavioral and cohort modeling across digital products and apps.
  • Set robust guardrails and define success metrics.
  • Work with data and engineering partners to understand pipelines and address data complexity.
  • Create consistent, trusted metric definitions across the organization.
  • Bring modern data tools and generative AI capabilities into everyday workflows.
  • Uphold The Athletic’s values, journalistic independence, and The New York Times Company’s mission.
  • Report to the Director of Data & Insights.

Requirements

  • At least seven years of progressive experience in data analytics, product analytics, or applied quantitative roles, delivering reporting, analysis, and strategic insight.
  • At least one to three years of formal experience managing, leading, or mentoring data scientists or analysts.
  • Expert-level SQL skills.
  • Experience with large relational databases and modern cloud data warehouses such as Snowflake or BigQuery.
  • Proficiency in Python or R for statistical modeling, data manipulation, and advanced quantitative analysis.
  • Experience with modern business intelligence and visualization tools such as Looker, Tableau, or Mode.
  • Strong experience with A/B testing, causal inference, and cohort or retention modeling in a digital subscription or media setting.
  • Experience in digital media or a subscription business is highly preferred.
  • Familiarity with version control workflows, including Git, GitHub, and code reviews, is highly preferred.
  • Experience working through upstream data complexity and with high-volume, real-time event data is highly preferred.
  • A strong interest in sports media and digital publishing is highly preferred.
  • A bachelor’s, master’s, or doctoral degree in a quantitative field is highly preferred.

Benefits

  • Variable compensation, such as an annual bonus and restricted stock, may be available for U.S. roles, depending on the position.
  • Medical, dental, and vision coverage.
  • Flexible Spending Accounts (FSAs).
  • Company-matched 401(k) plan.
  • Paid vacation.
  • Paid sick leave.
  • Paid parental leave.
  • Tuition reimbursement.
  • Professional development programs.

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