Experimentation Analyst
Skills
- Strong proficiency in SQL and/or Python for data analysis
- 2+ years designing and analyzing experiments (A/B testing)
- Solid understanding of statistics including frequentist and Bayesian approaches
- Ability to perform power analyses and sample-size calculations
- Experience presenting results to technical and non-technical audiences
- Comfort working in ambiguous environments and proposing structure
- Self-starter with strong ownership mindset
Responsibilities
- Design and execute statistically sound experiments end-to-end with limited oversight
- Conduct power analyses and recommend sample sizes
- Translate business questions into analytical approaches and communicate trade-offs
- Analyze test results at macro and micro levels and identify actionable insights
- Create clear data narratives and present findings to technical and non-technical stakeholders
- Partner with Product, Customer Success, and Engineering to inform roadmaps and client work
- Identify and recommend improvements to experimentation workflows and processes
Education
- Bachelor's degree in Statistics, Computer Science, Economics, or related field preferred
- Equivalent practical experience in experimentation or data analysis accepted
Benefits
- Full health, dental, and vision insurance (company funds up to 95%)
- Employee stock option program
- Company-sponsored retirement plan with matching (Fidelity)
- 12 annual paid holidays (including 2 flexible days)
- Generous PTO policy
- Remote-first environment with flexibility
- Bonus and equity eligibility
Average salary estimate
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