Framing ambiguous problems, defining what success looks like, and translating business challenges into measurable analytical strategies.
Owning and evolving scalable data models, pipelines, and core metrics that serve as the long-term foundations for operational performance in Sales and Membership Operations.
Building and iterating on analytical and modeling solutions, shipping quickly, learning from real-world feedback, and refining systems to drive measurable impact.
Leveraging emerging ML/AI tools thoughtfully, integrating them into production workflows where they add leverage, grounded in strong data fundamentals and clear business outcomes.
Requirements
7+ years of individual technical contributor experience
Strong SQL and experience working in modern data ecosystems (Snowflake, dbt, Python, Looker or similar)
Skilled at collaborating with cross-functional teams and influencing decisions with data-driven insights
Comfort building scalable, maintainable data pipelines and performing deep statistical analysis, predictive modeling, or experimental design to drive business strategy.
Tech Stack
Python
SQL
Benefits
Employer sponsored health, dental and vision plan with low or no premium
Generous paid time off
$100 monthly mobile or internet stipend
Stock options for all employees
Bonus eligibility for all roles excluding Director and above; Commission eligibility for Sales roles