Senior Product Analyst

Route • Lehi, UT

6d • $144,000 - $210,000

About The Position

As a Senior Product Analyst on Route’s Product team, you will be a strategic and analytical partner, helping shape product strategy, evaluate opportunities, and improve product performance. You will work through complex and sometimes ambiguous questions, bringing together product data, customer behavior, and business context to inform decisions.

The role combines product analytics, experimentation, and analytics engineering. You will own analyses from problem definition through recommendation, develop trusted metrics and data models, and help build an analytical foundation that enables teams to move quickly with confidence. You will work closely with Product, Engineering, Data Engineering, Finance, Revenue Operations, and other cross-functional partners to connect product performance to broader business outcomes.

Requirements

• At least 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, including the ability to explain why results occurred, what they mean, and what should happen next.
• Advanced SQL skills and experience independently working 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 for products, features, or business initiatives.
• Experience using AI tools to improve analytical or analytics engineering workflows, with sound judgment in validating and interpreting 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 independently structure and solve ambiguous problems while balancing analytical rigor with practical business needs.
• Strong written and verbal communication skills, including the ability to turn complex findings into clear recommendations.
• Proven ability to collaborate and influence across Product, Engineering, Data Engineering, Finance, Revenue Operations, and other cross-functional teams.

Nice To Haves

• Experience in ecommerce, marketplaces, payments, or another high-volume digital product environment is strongly preferred.

Responsibilities

• Partner with Product Managers to identify opportunities, evaluate tradeoffs, and use data to influence product strategy and roadmap decisions.
• Translate ambiguous product and business questions into structured analytical approaches, clear hypotheses, and actionable recommendations.
• Analyze customer and merchant behavior, product funnels, adoption, retention, conversion, and monetization to identify opportunities for product optimization and growth.
• Design and evaluate A/B tests, including hypothesis development, metric selection, sample sizing, guardrails, and statistical interpretation.
• Apply statistical methods to evaluate product performance, isolate 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, focusing on reliable metric definitions, data quality, and reusable analytical foundations.
• Develop dashboards, reporting, and self-service analytics that give teams visibility into product and business performance.
• Perform deep-dive analyses to understand changes in key metrics, identify root causes, and recommend next steps.
• Partner with Engineering and Data Engineering on instrumentation, data availability, and analytical requirements for new products and features.
• Collaborate with Finance, Revenue Operations, and other teams to connect product decisions with revenue, operational, and financial outcomes.
• Apply AI tools thoughtfully across analytics and analytics engineering workflows to accelerate analysis, development, investigation, and automation while rigorously validating outputs.
• Communicate complex analyses clearly to technical and non-technical audiences and help drive alignment around decisions and priorities.

Benefits

• Route 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.
• Eligible employees may participate in Route’s equity incentive plan and receive stock options.
• Some roles may be eligible for overtime pay.

What This Job Offers

• Job Type: Full-time
• Career Level: Senior
• Education Level: No Education Listed