Senior Manager, Analytics (Remote)

The Senior Manager, Analytics leads and scales the Growth Product Insights practice within The Athletic's data leadership team, reporting to the Director, Data & Insights. The role sits at the intersection of sports, digital subscriptions, and data strategy, and operates as a player-coach who builds analytical models while developing a growing team of data analysts. The postholder owns a data pod and is responsible for advancing the analytics team to its next phase of development and implementing a best-in-class analytics practice.

• Manage, mentor, and grow a team of data analysts while modelling analytical rigour, evaluating statistical approaches, and contributing hands-on to ambiguous, high-stakes projects as a player-coach.
• Shift the team's mindset from reactive service analytics and dashboard maintenance to proactive strategic inquiry, focusing on the "why" behind performance metrics.
• Translate data into concrete business recommendations that inform decision-making.
• Act as a strategic data partner embedded with Product, Design, and Growth leaders to influence roadmap strategy, prioritise high-impact initiatives, and establish clear learning objectives before work begins.
• Oversee product experimentation (A/B testing), causal inference, and behavioural and cohort modelling across digital destinations and app ecosystems, ensuring guardrails and success metrics are rigorously defined.
• Partner with upstream data and engineering teams to understand data pipelines, navigate complexity, and establish standardised, trusted metric definitions across the organisation.
• Integrate cutting-edge data tools and modern generative AI capabilities into daily workflows to streamline routine tasks, accelerate analysis, and increase overall team capacity.
• Demonstrate a strong commitment to the company's values, journalistic independence, and the broader mission of The New York Times Company.

• 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 judgement in others.
• Expertise in SQL and experience working with large-scale relational databases or modern cloud data warehouses (e.g. Snowflake, BigQuery).
• Proficiency in Python or R for statistical modelling, data manipulation, and deeper quantitative analysis.
• Experience with modern BI and data visualisation tools such as Looker, Tableau, or Mode.
• Strong background in experimentation (A/B testing), causal inference, and cohort/retention modelling within a digital subscription or media environment.

• Experience in a digital media or subscription-based business model.
• Familiarity with version control workflows (Git, GitHub, code reviews).
• Experience navigating upstream data complexity and working with high-volume, real-time event data.
• Passion for sports media and digital publishing.
• Bachelor's, Master's, or PhD in a quantitative field such as Data Science, Statistics, Computer Science, Economics, Applied Math, or a related field.

• 100% remote for candidates currently residing in the United States or Canada.

• The total compensation offered may vary based on factors such as education, experience, skills, and location, and may include non-cash rewards and benefits. The base salary range is subject to change and may be modified in the future.

• For roles in the U.S., dependent on the role, candidates may be eligible for variable pay such as an annual bonus and restricted stock.
• Benefits may include medical, dental, and vision benefits.
• Flexible Spending Accounts (F.S.A.s).
• A company-matching 401(k) plan.
• Paid vacation and 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.