Staff Product Data Analyst

Role overview

As a Staff Product Data Analyst, you’ll use quantitative and qualitative insights to drive strategic decisions and optimize product performance. You’ll ensure the Product team has a 360° customer knowledge view, with a key focus on the Growth product line (making the product self-serve from trial to conversion). You’ll partner closely with the Director/VP of Product and report to the Data Analytics manager.

Responsibilities

• Define product success metrics: Identify and establish the core KPIs to measure product impact, ensuring alignment with business objectives.
• Enable data-driven teams: Guide teams with advanced analytical methodologies and tools; provide training so teams can independently use insights.
• Own experimentation & experimentation metrics:
  • Design A/B tests and testing guidelines
  • Align success metrics across cross-functional teams
  • Validate experiment technical setup
  • Track experiment performance and communicate time-to-insight expectations
• Analyze product performance & user behavior: Identify trends, issues, and opportunities to improve functionality and user experience.
• Influence roadmap discussions: Partner with product researchers to maintain an overview of journey insights, identify remaining customer knowledge gaps, and proactively shape roadmap priorities.
• Stakeholder communication: Translate complex findings into clear insights for non-technical partners.

Requirements

• Strong statistical analysis, data modeling, and data visualization skills.
• Ability to interpret complex datasets and turn results into actionable decisions.
• Hands-on experience with analytics/data tools including SQL, dbt, Excel, Tableau (or similar).
• Expertise creating advanced visualizations (dashboards, interactive reports) for broad audiences.
• Rigor in data integrity, accuracy, and validation of findings.
• Strong written/verbal communication skills and experience presenting to non-technical stakeholders.
• Cross-functional experience with product managers, engineers, and designers.
• Ability to influence stakeholders and manage multiple projects; familiarity with project management tools/methodologies.
• Understanding of business strategy and how data supports product/business goals.

Nice-to-haves / Stand out

• Prior experience as a data analyst and a background in business or engineering.

Team & reporting

• Product Insights department, composed of Product Data Analytics and Product Research.
• Reports to the Data Analytics manager of the team; partners with the Director of Product for the covered line.