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Senior Manager, Analytics (Remote)

The New York Times· Data
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Remote$170k - $190kFull-timePosted 4d ago

About the role

Lead and scale the Growth Product Insights practice within The Athletic’s analytics organization, acting as a player-coach to guide a growing team of data analysts, define KPIs, build analytical models, and translate subscriber and product data into high-leverage business decisions.

Responsibilities

  • Lead as a Player-Coach: Manage, mentor, and grow a team of Data Analysts. Model analytical rigor, evaluate statistical approaches, and actively contribute to hands-on execution on ambiguous, high-stakes projects.
  • Drive Proactive Insights: Shift the team’s mindset from reactive analytics to proactive strategic inquiry. Focus on answering the why behind performance metrics and translating data into concrete business recommendations.
  • Act as a Strategic Data Partner: Embed with Product, Design, and Growth leaders as a thought partner to influence roadmap strategy, prioritize high-impact initiatives, and establish clear learning objectives before work begins.
  • Advance Experimentation & Measurement: Oversee product experimentation (A/B testing), causal inference, and behavioral/cohort modeling across digital destinations and app ecosystems, ensuring guardrails and success metrics are rigorously defined.
  • Build Trust in Data: Partner with upstream data and engineering teams to understand data pipelines, navigate complexity, and establish standardized, trusted metric definitions across the organization.
  • Leverage Modern Tools & AI: Integrate cutting-edge data tools and modern generative AI capabilities into daily workflows to streamline routine tasks, accelerate analysis, and increase overall team capacity.
  • Embrace Our Mission: Demonstrate strong commitment to our values, journalistic independence, and the broader mission of The New York Times Company.

Qualifications

  • 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, with a track record of elevating analytical judgment in others.
  • Expertise in SQL and experience working with large-scale relational databases / modern cloud data warehouses (e.g., Snowflake, 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 (Data Science, Statistics, Computer Science, Economics, Applied Math, or related field) highly preferred.

Skills

Required:SQLPython or RBI / Data VisualizationExperimentation / Causal InferenceLeadership / Mentoring

Benefits

  • The annual base salary range for this role is $170,000.00 - $190,000.00 USD.
  • Total compensation may vary based on factors such as education, experience, skills, and location, and may include non-cash rewards and benefits.
  • For roles in the U.S., eligible for variable pay such as an annual bonus and restricted stock. Benefits may include medical, dental and vision, FSA, company-matching 401(k), paid vacation, paid sick days, paid parental leave, tuition reimbursement and professional development programs.
  • For roles outside the U.S., information on benefits will be provided during the interview process.
Last updated Oct 21, 2026. Interested? Apply on the company site.
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