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About the role
5+ years of experience in data science, product analytics, data analytics, quantitative analysis, or a related analytical role.
Expert SQL skills and strong proficiency with Python or R for analysis, experimentation, modeling, automation, and reproducible workflows.
Strong product sense, with experience translating ambiguous product or business problems into structured analyses, metrics, experiments, and recommendations.
Experience designing, analyzing, and interpreting experiments, including A/B tests, guardrail metrics, and common statistical pitfalls.
Experience building dashboards, reporting systems, reusable analyses, or data products that help stakeholders self-serve and make better decisions.
Familiarity with AI-assisted analytical workflows, such as using LLMs or agents for code generation, exploratory analysis, documentation, QA, summarization, or workflow automation.
Strong judgment around data quality, statistical validity, reproducibility, privacy, and the limitations of AI-generated analysis.
Excellent communication and stakeholder management skills, including the ability to explain complex findings clearly and influence senior audiences.
Bachelor’s or Master’s degree in a technical, quantitative, or data-related field, or equivalent practical experience.
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