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Senior Data Analyst, Experimentation

Data Analyst Full-time Permanent Remote

Job details

$120,000 - $135,000 Salary
Remote Eligibility
Senior Experience
Full-time Employment

About this role

Role overview As a Senior Data Analyst focused on experimentation, you will help teams make better product and marketing decisions through rigorous testing and clear analysis. You will lead experiment design and interpretation while also building analytics models, dashboards, and shared practices that make results easier to use across the organization.

Responsibilities - Design, monitor, and analyze A/B and multivariate experiments; translate findings into practical recommendations. - Work with product and marketing partners to prioritize experiments and define useful success measures. - Partner with engineering on event tracking and instrumentation so experiments have reliable data. - Build and maintain dbt models, experiment reporting, dashboards, metric definitions, and self-service data assets. - Coach analysts on causal inference, power analysis, metric selection, and explaining uncertainty. - Maintain an analytics roadmap and identify opportunities to move from one-off reporting toward predictive and self-service analysis.

Requirements - A relevant master’s degree and at least three years of experience, or a relevant bachelor’s degree and at least five years of experience. - Expert SQL skills, including writing complex queries and improving their performance. - Strong knowledge of experimental design, causal inference, and statistical testing. - Experience with dbt, data modeling, and data pipelines, including communicating ETL needs to engineering. - Proficiency in Python or R for statistical analysis and experience with a data visualization platform. - Strong communication skills and experience working with stakeholders across a cross-functional data team.

Nice to have - E-commerce or lifecycle marketing experience.

Benefits and work setup - Full-time, exempt role with fully remote work. - Listed annual salary range of $120,000–$135,000, with employee stock options based on experience. - Benefits include unlimited paid time off, medical, dental and vision plan options, life insurance, and a 401(k) plan.

Skills detected in the listing

PythonGoSQLPower BITableaudbtStakeholder Management
Detected Nov 6, 2026
Last verified Not yet verified

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