Recharge · 1 day ago

Senior Product Analyst

United States

Full-time

Remote

Senior Level

5+ years exp

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E-CommerceMobile Payments

Comp. & Benefits

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Responsibilities

Live by and champion all of our core values (#ownership, #empathy, #day-one, and #humility).

Collaborate with stakeholders in cross-projects and team settings to identify and clarify business or product questions to answer. Provide feedback to translate and refine business questions into tractable analysis, evaluation metrics, or mathematical models.

Perform analysis utilizing relevant tools (e.g., SQL, Python). Provide analytical thought leadership through proactive and strategic contributions (e.g., suggests new analyses, infrastructure or experiments to drive improvements in the business).

Own outcomes for projects by covering problem definition, metrics development, data extraction and manipulation, visualization, creation, and implementation of analytical/statistical models, and presentation to stakeholders.

Develop solutions, lead, and manage problems that may be ambiguous and lacking clear precedent by framing problems, generating hypotheses, and making recommendations from a perspective that combines both, analytical and product-specific expertise.

Work independently to find creative solutions to difficult problems.

Effectively communicate analyses and experimental outcomes to business stakeholders, ensuring insights are presented with clear business context and relevance.

Write and maintain technical documentation for the data models and analytics solutions.

Qualification

Find out how your skills align with this job's requirements. If anything seems off, you can easily click on the tags to select or unselect skills to reflect your actual expertise.

SQLPythonStatistical analysisData modelingMachine learningSnowflakeDimensional modelingLookerGoogle ColabFivetranCloudSQL/MySQLGitlabDockerGCPLangchainEcommerce experience

Required

Bachelor's degree, or equivalent work experience, in Statistics, Mathematics, Data Science, Engineering, Physics, Economics, or a related quantitative field.

5+ years of work experience using analytics to solve product or business problems, performing statistical analysis, and coding (e.g., Python, R, SQL).

Experience developing and operating within Snowflake.

Expert in translating data findings to broader audiences including non-data stakeholders, engineering, and executive leadership to maximize impact.

Experience working on advanced analytics models (machine learning or learning based models) that accomplish tasks such as making recommendations or scoring users.

Ability to demonstrate high self-sufficiency to take on complex problems in a timely manner.

Consistently navigates ambiguous technical and business requirements while making flexible technical decisions.

Consistently delivers technically challenging tasks efficiently with quality, speed, and simplicity.