Senior Product Analyst

This is a fully remote position, open to applicants in Utah.

📋 Description

• Collaborate with Product Managers to pinpoint opportunities, assess tradeoffs, and shape product strategy and roadmap decisions.

• Convert unclear product and business inquiries into structured analytical methods, hypotheses, and recommendations.

• Examine customer and merchant behaviors, product funnels, adoption rates, retention, conversion, and monetization.

• Design and assess A/B tests, encompassing hypotheses, metrics, sample sizes, guardrails, and statistical interpretation.

• Utilize statistical techniques to assess product performance, uncover root causes, and measure impact.

• Establish product KPIs and measurement frameworks that link customer outcomes, product effectiveness, and business results.

• Construct and sustain scalable analytical data models utilizing SQL and dbt.

• Create dashboards, reporting tools, and self-service analytics.

• Conduct in-depth analyses and propose actionable next steps.

• Work alongside Engineering and Data Engineering to ensure proper instrumentation, data accessibility, and analytical needs.

• Cooperate with Finance, Revenue Operations, and additional teams to align product decisions with revenue, operational, and financial outcomes.

• Leverage AI tools throughout analytics and analytics engineering processes while thoroughly validating outputs.

• Convey complex analyses to both technical and non-technical audiences, fostering alignment on decisions and priorities.

⛳️ Requirements

• Over 5 years of experience in product analytics, business or operations analytics, or data analytics in support of a product or growth organization.

• Strong judgment regarding product and business matters.

• Advanced SQL capabilities and experience with extensive, complex datasets.

• Significant experience with dbt, data modeling, metric design, and contemporary analytics engineering practices.

• Solid understanding of statistics and experimentation, including A/B testing, hypothesis testing, confidence intervals, sample sizing, and common experimental biases.

• Proven experience in defining KPIs and establishing measurement frameworks.

• Familiarity with AI tools in analytical or analytics engineering contexts, along with the ability to validate and interpret AI-generated results.

• Proficient in Python for analysis, automation, or analytical workflows.

• Experience in developing dashboards and reports using modern BI or product analytics platforms.

• Capability to independently structure and resolve ambiguous problems.

• Excellent written and verbal communication skills.

• Ability to collaborate and influence across Product, Engineering, Data Engineering, Finance, Revenue Operations, and other cross-functional teams.

• Experience in eCommerce, marketplaces, payments, or another high-volume digital product setting is highly preferred.

🏝️ Benefits

• The employer covers 95%–100% of health insurance premiums for employees and their families.

• Options for remote or hybrid work arrangements.

• Unlimited paid time off (PTO).

• 401(k) matching available.

• Structured growth opportunities.

• Learning and development initiatives.

• Diversity, Equity, and Inclusion (DEI) programs and events.

• Equity incentive plan with stock options.

• Potential for overtime pay in certain roles.

• Potential annual bonus targets for eligible positions.

• Possible commission for qualifying roles.