Product Data Analyst

Position: Product Data Analyst (2 openings)

Product Data Analyst

Digital products play a central role in how we create value for customers, support the teams who serve them, and shape the consumer experience. Our product organization brings together small, empowered teams that move with clarity, speed, and purpose, enabling digital to be a meaningful source of advantage across our operating unit.

Our work touches on the experiences that keep the business running, including customer journeys, service delivery, sales workflows, and the systems that connect them. We are raising our standards for product craft and rebuilding the platforms behind these experiences.

We are hiring multiple Product Data Analysts to join our growing Product Data & Analytics function. Analysts are embedded within empowered product teams and partner closely with Product Managers, Designers, Engineers, and Researchers to bring data and evidence into everyday product decisions.

About the Role

Product Data Analysts are core members of empowered, cross-functional product teams. In this role, you will help teams deeply understand user behavior, evaluate opportunities, and measure progress toward meaningful outcomes.

You will use data to shape discovery, define success metrics, evaluate ideas, and inform prioritization. Your work will influence day-to-day product decisions as well as broader strategy by turning complex behavioral data into clear, actionable insight.

This role is a strong fit for analysts who enjoy working close to product teams, are curious about how users behave, and are motivated by helping teams learn faster and make better decisions.

What You'll Do for Us Responsibilities Product  Analytics & Insight

• Build a deep understanding of user and customer behavior by analyzing product usage, funnels, journeys, and segments
• Identify friction points, opportunities, and trends that inform product discovery and iteration
• Monitor key metrics and diagnose changes in performance across adoption, engagement, and retention

Discovery, Measurement & Experimentation

• Partner with Product Managers, Designers, and Engineers to define success metrics, KPIs, and guardrails
• Design and execute analyses, experiments, and tests (A/B tests, pilots, prototypes) to evaluate product ideas and measure impact
• Help teams move from output-based tracking to outcome-based measurement

Instrumentation & Data Quality

• Define and improve product instrumentation, event tracking, and data structures that reflect real user behavior
• Partner with engineering to ensure products are instrumented correctly and data is reliable, accurate, and usable
• Maintain documentation and shared understanding of metrics and definitions

Insight Communication & Influence

• Create dashboards, visualizations, and narratives that make insights accessible and actionable
• Synthesize quantitative findings into clear recommendations that influence product decisions and prioritization
• Contribute to a data-informed culture by helping raise analytical fluency across product teams

What You'll Need Key Qualifications

• 4-7 years of experience in product analytics, data analysis, business intelligence, or a related role supporting digital products
• Strong proficiency in SQL and comfort working with large, complex datasets
• Experience analyzing behavioral data, including funnels, cohorts, and segmentation
• Demonstrated ability to design and interpret experiments and data-driven evaluations
• Ability to translate complex quantitative findings into clear, actionable insights for non-technical audiences
• Strong collaboration skills and experience working within cross-functional product teams

Education

Bachelor's degree in analytics, statistics, economics, computer science, or a related quantitative field, or equivalent practical experience

Preferred Qualifications

• Experience supporting B2B, multi-sided, or ecosystem products with complex workflows
• Familiarity with product analytics and instrumentation tools (e.g., Amplitude, Mixpanel, Full Story, GA4)
• Experience with dashboarding and visualization tools (e.g., Tableau, Looker, Sigma)
• Exposure to statistical methods such as hypothesis testing, regression, or clustering
• Experience partnering closely with data science or…