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The Athletic

Senior Manager, Data

The Athletic

. Manage, mentor, and grow a team of Data Analysts .

Posted 10/21/2026full-timeRemote • United States, CanadaSenior💰 $170,000 - $190,000 per yearWebsite

Core Competencies

Role fit
Core Competencies

Use this summary to align your resume positioning with the role.

Demonstrates expertise in data analytics and product analytics, with a strong focus on statistical modeling, experimentation, and strategic insight generation. Proven ability to lead and mentor teams while integrating modern data tools and methodologies into workflows.

Highest-signal resume keywords
Data Analytics ManagementSQL ExpertiseStatistical Modeling with Python or RA/B Testing and ExperimentationDigital Media Experience

ATS Keywords

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Applicant Tracking System Keywords

Tip: use these terms in your resume and cover letter to boost ATS matches.

Hard Skills
Data AnalyticsProduct AnalyticsStatistical ModelingA/B TestingCausal InferenceCohort ModelingData ManipulationReportingStrategic InsightMetric Definition
Soft Skills
MentoringCollaborationCommunicationAnalytical RigorProblem Solving
Tools & Technologies
SQLSnowflakeBigQueryLookerTableauModeGitGithubGenerative AI ToolsData Visualization
Industry Keywords
Digital MediaSubscription-Based Business ModelData ComplexityReal-Time Event DataSports Media

Tech Stack

Tools & technologies
BigQueryCloudPythonSQLTableau

About the role

Key responsibilities & impact
  • Manage, mentor, and grow a team of Data Analysts
  • Model analytical rigor, evaluate statistical approaches, and contribute hands-on to ambiguous, high-stakes projects
  • Shift the team from reactive service analytics and dashboard maintenance to proactive strategic inquiry
  • Explain the reasons behind performance metrics and translate data into concrete business recommendations
  • Partner with Product, Design, and Growth leaders to influence roadmap strategy and prioritize high-impact initiatives
  • Establish clear learning objectives before analytical work begins
  • Oversee product experimentation, including A/B testing, causal inference, and behavioral/cohort modeling across digital destinations and app ecosystems
  • Define rigorous guardrails and success metrics
  • Partner with upstream data and engineering teams to understand data pipelines and navigate data complexity
  • Establish standardized, trusted metric definitions across the organization
  • Integrate modern data tools and generative AI capabilities into daily workflows
  • Demonstrate commitment to The Athletic’s values, journalistic independence, and The New York Times Company mission
  • Report to the Director, Data & Insights

Requirements

What you’ll need
  • 7+ years of progressive experience in data analytics, product analytics, or applied quantitative roles delivering reporting, analysis, and strategic insight
  • 1–3+ years of experience formally managing, leading, or mentoring data scientists or analysts
  • Expertise in SQL
  • Experience with large-scale relational databases and modern cloud data warehouses, such as Snowflake or BigQuery
  • Proficiency in Python or R for statistical modeling, data manipulation, and deeper quantitative analysis
  • Experience with modern BI/data visualization tools such as Looker, Tableau, or Mode
  • Strong background in experimentation (A/B testing), causal inference, and cohort/retention modeling within a digital subscription or media environment
  • Experience in digital media or subscription-based business model highly preferred
  • Familiarity with version control workflows (Git, Github, code reviews) highly preferred
  • Experience navigating upstream data complexity and working with high-volume, real-time event data highly preferred
  • Passion for sports media and digital publishing highly preferred
  • Bachelor’s, Master’s, or PhD in a quantitative field highly preferred

Benefits

Comp & perks
  • Variable pay, such as an annual bonus and restricted stock, may be available for U.S. roles depending on the role
  • Medical, dental and vision benefits
  • Flexible Spending Accounts (F.S.A.s)
  • Company-matching 401(k) plan
  • Paid vacation
  • Paid sick days
  • Paid parental leave
  • Tuition reimbursement
  • Professional development programs