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Senior Manager, Analytics (Remote)

The Athletic
Remote, USA
Full-time
Manager · 7+ years experience
Remote
Discovered 5 days ago
SQLPythonTableau

Full Job Posting

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 "service analytics" and dashboard maintenance 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.

Requirements

  • 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.

Additional information

The annual base salary range for this role is $170,000.00 - $190,000.00 USD. The total compensation offered for this position may vary based on factors such as education, experience, skills, and location. It may also 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 your role, you 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, paid sick days, paid parental leave, tuition reimbursement and professional development programs.

For roles outside of the U.S., information on benefits will be provided during the interview process.

We are excited to learn more about you and your experience. To keep our hiring process as fair and authentic as possible, we ask that you submit your own work and not use GenAI tools to generate substantive content during the application and interview process. If you are a candidate for a technical role, we will let you know what specific tools you are permitted to use for your technical assessment.

The Athletic Media Company is an equal opportunity employer and enthusiastically encourages people from all backgrounds and experiences to apply. The Athletic will consider all applicants without regard to race, religion, color, national origin, ancestry, physical and/or mental disability, medical condition, genetic information, marital status, sex, gender, gender identity, gender expression, transgender status, age, sexual orientation, military or veteran status, or any other protected characteristic under applicable law.

Click here to review our Applica nt Privacy Notice, which describes how and when The Athletic Media Company collects, uses, and shares certain personal information of job applicants and prospective employees.

Beware of fraudulent job recruiting schemes! Our recruiters use [email protected] exclusively, and our team members will use an email address with @ theathletic.com domain. We do not conduct interviews via text or instant message and we do not ask candidates to download software, to purchase equipment through us, or to provide sensitive personally identifiable information, such as bank accounts or social security numbers. If you have been contacted by someone claiming to be a member of the recruiting/HR team at The Athletic but operating from a different email address about a job offer, please report it as potential job fraud to the law enforcement and to [email protected].

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