Senior Product Analyst

Route

. Partner with Product Managers to identify opportunities, evaluate tradeoffs and influence product strategy and roadmap decisions .

Posted 10/30/2026full-timeRemote • Utah • United StatesSenior💰 $146,000 - $169,000 per yearWebsite

Core Competencies

Role fit

Core Competencies

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Demonstrates expertise in product analytics, including advanced SQL, data modeling, and A/B testing methodologies. Proficient in building measurement frameworks and utilizing AI tools to enhance analytical workflows while effectively communicating insights across cross-functional teams.

Highest-signal resume keywords

Advanced SQL SkillsExperience with DbtA/B Testing ExpertiseProficiency with PythonExperience in Ecommerce

ATS Keywords

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Applicant Tracking System Keywords

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Hard Skills

Product AnalyticsData AnalyticsStatistical MethodsKPI DefinitionData ModelingMetric DesignAnalytical Data ModelsHypothesis TestingSample SizingExperimental Bias

Soft Skills

Strong Communication SkillsProblem-Solving AbilityCollaboration SkillsInfluencing SkillsBusiness Judgment

Tools & Technologies

AI ToolsBI PlatformsAnalytics Engineering WorkflowsDashboardsReporting Tools

Industry Keywords

EcommerceMarketplacesPaymentsDigital Product EnvironmentProduct Strategy

Tech Stack

Tools & technologies

PythonSQL

About the role

Key responsibilities & impact

Partner with Product Managers to identify opportunities, evaluate tradeoffs and influence product strategy and roadmap decisions
Translate ambiguous product and business questions into structured analytical approaches, hypotheses and recommendations
Analyze customer and merchant behavior, product funnels, adoption, retention, conversion and monetization
Design and evaluate A/B tests, including hypotheses, metrics, sample sizing, guardrails and statistical interpretation
Apply statistical methods to evaluate product performance, identify root causes and quantify impact
Define product KPIs and measurement frameworks connecting customer outcomes, product performance and business impact
Build and maintain scalable analytical data models using SQL and dbt
Develop dashboards, reporting and self-service analytics
Perform deep-dive analyses and recommend next steps
Partner with Engineering and Data Engineering on instrumentation, data availability and analytical requirements
Collaborate with Finance, Revenue Operations and other teams to connect product decisions with revenue, operational and financial outcomes
Apply AI tools across analytics and analytics engineering workflows while rigorously validating outputs
Communicate complex analyses to technical and non-technical audiences and drive alignment on decisions and priorities

Requirements

What you’ll need

5+ years of experience in product analytics, business or operations analytics, or data analytics supporting a product or growth organization
Strong product and business judgment
Advanced SQL skills and experience with large, complex datasets
Strong experience with dbt, data modeling, metric design and modern analytics engineering practices
Strong foundation in statistics and experimentation, including A/B testing, hypothesis testing, confidence intervals, sample sizing and common sources of experimental bias
Experience defining KPIs and building measurement frameworks
Experience using AI tools in analytical or analytics engineering workflows, with ability to validate and interpret AI-generated outputs
Proficiency with Python for analysis, automation or analytical workflows
Experience building dashboards and reporting in modern BI or product analytics platforms
Ability to structure and solve ambiguous problems independently
Strong 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 environment is strongly preferred

Benefits

Comp & perks

Employer pays 95%–100% of health insurance premiums for employees and their families
Remote or hybrid work arrangements
Unlimited PTO
401(k) matching
Formalized growth opportunities
Learning and development
DEI programs and events
Equity incentive plan with stock options
Potential overtime pay for some roles
Potential annual bonus targets for eligible roles
Potential commission for eligible roles