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Core Competencies
Role fitCore Competencies
Use this summary to align your resume positioning with the role.
Demonstrates expertise in analytics with a focus on A/B testing, causal inference methods, and data-driven decision-making. Proficient in SQL and Python, with strong communication skills to present complex findings to diverse audiences.
Highest-signal resume keywords
A/B Testing Design and AnalysisCausal Inference MethodsSQL ProficiencyPython ProgrammingData Visualization Tools
ATS Keywords
Tailor your resumeApplicant Tracking System Keywords
Tip: use these terms in your resume and cover letter to boost ATS matches.
Hard Skills
AnalyticsElasticity ModelsData AnalysisExperiment DesignRoot-Cause Investigation
Soft Skills
Written CommunicationVerbal Communication
Tools & Technologies
BI Visualization ToolsLLM Tools
Industry Keywords
Pricing ExperienceMarketplace MetricsData-Driven Decisions
Tech Stack
Tools & technologiesPythonSQL
About the role
Key responsibilities & impact- Design, run, and read out experiments for the Pricing Experience team, focusing on geo and market-level tests
- Use experiment results to recommend which changes to move forward with, including when data is ambiguous
- Partner with the Pricing Experience PM and Data Scientist to find and size opportunities and shape the roadmap
- Build analyses such as elasticity models
- Present findings and recommendations to senior leadership and the product organization
- Serve as the analytics point of contact for price-related data
- Track how price-related data affects key marketplace metrics
- Support data-driven pricing experience decisions, marketplace performance analysis, root-cause investigation, and solution development
Requirements
What you’ll need- 5+ years of experience in analytics
- Experience designing and analyzing A/B tests and quasi-experiments, with a working knowledge of causal inference methods (e.g. difference-in-differences, synthetic control)
- A track record of owning analyses end to end in ambiguous or new areas where metrics weren't already defined, and using data to influence product decisions
- Strong written and verbal communication, with the ability to explain complex or ambiguous findings clearly to technical and non-technical audiences
- Strong SQL and Python skills, plus experience with BI visualization tools
- Regular, effective use of LLM tools in your analytics work
- Candidates must be based in the Greater Seattle Area
- Applicants must be currently authorized to work in the United States on a full-time basis, without the need for current or future employer sponsorship for an employment-based visa status
Benefits
Comp & perks- Competitive compensation
- 401k match
- Flexible PTO
- Competitive benefits package, including medical, dental, and vision insurance
- Commuter benefits
- Bring your dog to work (and unlimited puppy time)
- Doggy benefits, including $1000 toward adopting your first dog
- Stocked fridges, coffee, soda, and lots of treats (for humans and dogs) and free catered lunches semi-monthly
- Regular team activities performed in-person and virtually
- Access to AI tools