Senior Manager, Analytics (Remote)

OpenKrill; United States; Remote; USD 170,000 - 190,000; Full time

Benefits offered by this job

Medical, dental, and vision benefits

Company 401(k) with matching

Tuition reimbursement and professional

Job summary

The Athletic seeks a Senior Manager, Analytics to lead and scale the Growth Product Insights practice. You will own analytics post-migration to a modern data warehouse, define KPIs, and guide a growing team turning subscriber and product data into actionable business decisions.

Remote role for candidates in the United States or Canada, reporting to the Director, Data & Insights. You will collaborate with Product, Design, and Growth leaders to influence roadmaps and build a high-performing

Qualifications

• 7+ years of progressively responsible data analytics, product analytics, or quantitative roles.
• 1-3+ years of managing or mentoring data scientists or analysts.
• Expertise in SQL and experience with large-scale data warehouses (Snowflake, BigQuery).
• Proficiency in Python or R for statistical modeling and data manipulation.
• Experience with BI / Visualization tools (Looker/Tableau/Mode).
• Strong background in experimentation (A/B testing), causal inference, and cohort modeling.

Responsibilities

• Lead and scale a Data Analytics team as Player-Coach.
• Drive proactive insights and translate data into business recommendations.
• Partner with Product, Design and Growth to influence roadmap and learning objectives.
• Oversee experimentation, causal inference, and retention modeling across digital destinations and apps.
• Build trust in data with standardized, trusted metrics across the org.
• Incorporate modern tools and AI into workflows to boost team capacity.
• Uphold The Athletic and NYT Company values.

Skills

SQL

Python or R

A/B testing

Causal inference

Cohort/Retention modeling

Data visualization (Looker/Tableau/Was

Experience with large-scale data

Team leadership

Digital media / subscription

Git

Sports media interest

Education

Bachelor's/Master's/PhD in quantitative field

Tools

Snowflake

BigQuery

Looker

Tableau

Mode

Git

Job description

About Us

Powered by one of the largest global newsrooms in sports media, The Athletic brings sports fans the most comprehensive stories about the teams, sports and athletes they love. The Athletic's newsroom of 500+ full-time staff delivers in-depth coverage of hundreds of professional and college teams across more than 47 North American markets and all 20 football clubs in the English Premier League, as well as many Championship clubs.

About the Role

Join 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.

We 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.

In this role, you will report to the Director, Data & Insights.

This role is 100% remote for candidates currently residing in the United States or Canada.

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.

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.

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.