# Principal Product Analyst

**Company:** [Hover](https://hotfix.jobs/companies/hover)
**Location:** San Francisco, CA, New York, NY
**Role:** Data Analytics
**Salary:** $199k – $246k/yr
**Experience:** 7+ years
**Skills:** SQL, Python, Tableau, dbt, Snowflake, Hex, Segment, Mixpanel, A/B Testing, Causal Inference
**Posted:** 2026-05-27

> Strategic Principal Product Analyst embedded in the Insurance product quad-pod to define success metrics, drive experimentation, build analytics infrastructure, and influence AI-powered product direction.

## Job Description

## Responsibilities

- Drive strategic analytics initiatives supporting Hover’s Insurance product portfolio
- Partner closely with Product Managers and Engineering Leads to define success metrics, design experiments, and evaluate product performance
- Build frameworks that define and measure inspection quality, customer outcomes, and enterprise ROI
- Lead end-to-end analytical projects — from problem framing and data exploration to storytelling and influencing strategic decisions
- Drive experiment design and analysis for A/B tests and quasi-experimental studies
- Improve telemetry and instrumentation foundations across Segment, Mixpanel, and internal analytics systems
- Help evolve product measurement approaches for AI-assisted and agentic workflows
- Build a deep understanding of customer journeys and identify opportunities to improve product adoption, retention, and user experience
- Surface insights that influence roadmap prioritization and strategic product investments
- Collaborate directly with enterprise insurance customers to evaluate adoption and product effectiveness
- Create scalable data frameworks that help stakeholders align around business and product outcomes
- Help elevate analytics maturity across the organization by improving self-serve analytics capabilities and championing data-informed decision making

## Requirements

- 7+ years of experience in Product Analytics, Data Science, Product Strategy, or related analytical product-focused roles
- Expert-level SQL proficiency for complex analysis and data exploration
- Experience with data tech stack and BI software
- Strong product intuition and ability to synthesize ambiguous problems into actionable recommendations
- Experience partnering deeply with Product and Engineering organizations to influence product direction
- Experience designing and evaluating experiments using A/B testing or causal inference methodologies
- Strong communication skills with the ability to influence both technical and executive audiences
- Experience working in fast-paced, cross-functional product environments with multiple competing priorities
- Curiosity and practical experience leveraging AI tools to accelerate analysis, improve workflows, or uncover product insights

## Nice-to-Haves

- Python literacy and comfort working with analytical or experimentation workflows
- Experience with Tableau, DBT, Snowflake, Hex
- Insurance, fintech, enterprise SaaS, or AI product experience
- Experience evaluating AI-enabled or workflow automation products

## Compensation & Benefits

- Competitive salary and meaningful equity in a fast-growing company
- Comprehensive medical, dental, and vision coverage for you and dependents
- Unlimited and flexible vacation policy
- Generous paid parental and new child bonding leave
- Mandatory self-care days each month
- Remote wellbeing resources including fitness classes, meditation tools, virtual therapy, and family planning assistance
- Support for continued education, management training, conferences, workshops, or certifications
- US base salary range: $199,000 - $246,000 annually

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