Senior Manager, Analytics
New
T
The AthleticSports media
This role is 100% remote for candidates currently residing in the United States or Canada.Full-TimeManager
Salary not disclosed
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Job Details
- Experience
- 7+ years of progressive experience in data analytics, product analytics, or applied quantitative roles; 1–3+ years of experience formally managing, leading, or mentoring data scientists or analysts.
- Required Skills
- PythonSQLSnowflakeTableauA/B testingBigQueryLookerR
Requirements
- Have 7+ years of progressive experience in data analytics, product analytics, or applied quantitative roles delivering reporting, analysis, and strategic insight.
- Have 1–3+ years of experience formally managing, leading, or mentoring data scientists or analysts.
- Demonstrate a track record of elevating analytical judgment in others.
- Bring expertise in SQL and experience with large-scale relational databases or modern cloud data warehouses such as Snowflake or BigQuery.
- Be proficient in Python or R for statistical modeling, data manipulation, and quantitative analysis.
- Have experience with BI or data visualization tools such as Looker, Tableau, or Mode.
- Have a strong background in A/B testing, causal inference, and cohort or retention modeling in a digital subscription or media environment.
- Experience in digital media or subscription-based business models is highly preferred.
- Familiarity with Git, GitHub, and code review workflows is highly preferred.
- Experience with upstream data complexity and high-volume, real-time event data is highly preferred.
- A quantitative degree, such as Data Science, Statistics, Computer Science, Economics, or Applied Math, is highly preferred.
Responsibilities
- Manage, mentor, and grow a team of data analysts while contributing hands-on to high-stakes projects.
- Evaluate statistical approaches and model analytical rigor.
- Shift the team toward proactive strategic inquiry and turn performance analysis into business recommendations.
- Partner with Product, Design, and Growth leaders to influence roadmap strategy and prioritize initiatives.
- Define learning objectives before work begins.
- Oversee A/B testing, causal inference, and behavioral and cohort modeling across digital destinations and app ecosystems.
- Define experiment guardrails and success metrics.
- Work with data and engineering teams to understand pipelines and establish standardized, trusted metric definitions.
- Integrate modern data tools and generative AI capabilities into daily workflows.
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