Lead Product Analyst

Ovii's Interpretation of the Role

Weave seeks a Lead Product Analyst to own end‑to‑end product analytics, define KPI frameworks, and partner with senior product leaders to drive data‑informed decisions across B2B and AI products.

Role Snapshot

• Lead product analytics lifecycle
• Define & track product KPIs
• Partner with product & engineering leaders
• Drive analytics excellence & AI insights
• Mentor junior analysts

Must-Have Requirements

• SQL
• Data visualization tools (Sigma, Tableau, Power BI)
• Stakeholder management
• Communication & storytelling
• Product analytics & KPI definition
• product analytics
• B2B domain
• KPI definition and tracking
• strategic influence
• Bachelor’s degree
• Master’s degree
• background check

Nice-to-Have Signals

• AI analytics tools
• Predictive modeling
• Mentorship
• AI‑focused analytics
• predictive modeling
• AI products

Work Setup

• Location: Lehi, United States
• Work mode: HYBRID
• Remote scope: UNSPECIFIED
• Employment type: Full-Time

Eligibility Gates

• Background check: required

Not Specified in JD

• Visa sponsorship
• Salary range
• Remote eligibility
• Relocation
• Travel
• Security clearance
• Coding test

What You'll Likely Work On

• Own the full E2E product analytics process from discovery through launch for core and AI features.
• Define, track, and analyze key product success metrics such as sales, onboarding, adoption, churn, and revenue.
• Create and execute a product analytics strategy and roadmap, delivering dashboards and data products that influence business outcomes.
• Serve as a trusted thought partner to senior product leaders, translating insights into actionable recommendations.
• Lead high‑visibility cross‑functional projects, setting scope, deliverables, and alignment with company strategy.
• Scale the analytics data foundation, self‑service capabilities, AI‑focused analytics, and predictive models.
• Mentor and guide other analysts, raising the bar for analytical rigor and innovation.

Good Fit If You Have

• Strategic visionary who sees business problems behind the numbers.
• Curious, proactive, and constantly seeks the "why" behind data.
• Values‑driven leader aligned with company core values.
• Enjoys mentoring peers and setting standards for excellence.