{"id":3009574,"url":"https://alion.io/job/the-athletic-senior-manager-data-remote","title":"Senior Manager, Analytics (Remote)","company":{"id":4234,"name":"The Athletic","domain":"theathletic.com","url":"https://alion.io/company/the-athletic","size_band":null,"is_staffing_agency":false,"employer_type":"direct","is_intermediary":false,"listed_via":null,"ats_vendor":"Lever","truth_index":null},"role":"Analytics","role_family":"Analytics","seniority":"senior","employment_type":"full_time","work_mode":"remote","remote_scope":"stated_countries","remote_scope_basis":"posting_text","remote_working_hours":null,"hiring_geo_confidence":"inferred","locations":["United States"],"countries":["US"],"hiring_countries":["US","CA"],"hiring_countries_total":2,"salary":null,"salary_estimate":{"min_usd":97000,"max_usd":201000,"period":"year","method":"role_seniority_country_remote_cell","sample_n":519},"experience_years_min":7,"visa_sponsorship":false,"relocation_package":false,"has_equity":false,"technologies":[{"name":"A/B Testing","optional":false},{"name":"Git","optional":false},{"name":"GitHub","optional":false},{"name":"Google BigQuery","optional":false},{"name":"Looker","optional":false},{"name":"Python","optional":false},{"name":"Snowflake","optional":false},{"name":"SQL","optional":false},{"name":"Tableau","optional":false}],"status":"live","first_seen_at":"2026-09-24T17:05:52Z","employer_posted_date":"2026-09-24","last_verified_at":"2026-10-22T21:36:56Z","board_verified":true,"closed_at":null,"days_open":28,"trust":{"level":"ok","repost_count":null,"flags":[],"days_open":28},"description":"About the Role\nJoin the data leadership team at The Athletic, the premier sports media division of The New York Times, and take ownership of a data pod. This is a critical data role that sits at the intersection of sports, digital subscriptions, and data strategy. This person will play a crucial role in advancing our analytics team to the next phase of development to help implement a best in class analytics practice.\nWe are seeking a Senior Manager, Analytics to lead and scale our Growth Product Insights practice. Following our recent migration to a modern data warehouse, you will act as a pivotal player-coach-bringing deep analytical rigor, defining key performance indicators, and guiding a growing team of data analysts. You will lead by example, building analytical models yourself while developing the talent around you to turn complex subscriber and product data into high-leverage business decisions.\nIn this role, you will report to the Director, Data & Insights.\nThis role is 100% remote for candidates currently residing in the United States or Canada.\nResponsibilities\nLead 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.\nDrive 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.\nAct 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.\nAdvance 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.\nBuild 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.\nLeverage 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.\nEmbrace Our Mission: Demonstrate strong commitment to our values, journalistic independence, and the broader mission of The New York Times Company.\nRequirements\n7+ years of progressive experience in data analytics, product analytics, or applied quantitative roles delivering reporting, analysis, and strategic insight.\n1-3+ years of experience formally managing, leading, or mentoring data scientists or analysts, with a track record of elevating analytical judgment in others.\nExpertise in SQL and experience working with large-scale relational databases / modern cloud data warehouses (e.g., Snowflake, BigQuery).\nProficiency in Python or R for statistical modeling, data manipulation, and deeper quantitative analysis.\nExperience with modern BI / Data Visualization tools such as Looker, Tableau, or Mode.\nStrong background in experimentation (A/B testing), causal inference, and cohort/retention modeling within a digital subscription or media environment.\nExperience in digital media or subscription-based business model highly preferred. \nFamiliarity with version control workflows (Git, Github, code reviews)highly preferred.\nExperience navigating upstream data complexity and working with high-volume, real-time event data highly preferred.\nPassion for sports media and digital publishing highly preferred.\nBachelor’s, Master’s, or PhD in a quantitative field (Data Science, Statistics, Computer Science, Economics, Applied Math, or related field) highly preferred.","description_format":"text","description_chars":3917,"description_truncated":false,"requirements":{"experience_years_min":7,"management_years_min":null,"team_size_min":null,"manages_managers":false,"education":{"level":"bachelor","optional":false},"security_clearance":false,"languages":[]},"benefits":[],"hiring_locations":[{"name":"United States","iso":"US","kind":"country"},{"name":"Canada","iso":"CA","kind":"country"}],"hiring_excludes":[],"relocation_offered":false,"industries":["Sports 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