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Senior Product Analyst
Not specifiedFull-timeProduct AnalyticsCloud ComputingAI InfrastructureEnterprise Software
Drive product decisions through end-to-end analytics for an AI search platform. Partner with Product, Engineering, Growth, and leadership to identify opportunities, evaluate outcomes, and guide product strategy.
Responsibilities
- Own product analytics from funnel definition and instrumentation through activation, adoption, retention, and paid conversion
- Partner with product managers and R&D leads to define success metrics, assess opportunities, prioritize roadmaps, and measure product impact
- Analyze behavioral, use-case, endpoint, and product-experience drivers of activation, retention, and expansion
- Design and evaluate experiments involving A/B tests, onboarding, pricing, and packaging
- Create reusable datasets from product, usage, and billing data using SQL, dbt, Python, and related tools
- Apply statistical and predictive methods, including segmentation, propensity, forecasting, classification, and clustering
- Monitor product metrics, investigate trends and anomalies, and share actionable insights
- Establish shared metric definitions, trusted sources of truth, and analytical standards across teams
Requirements
- At least 5 years of experience as a Product Analyst, Data Analyst, or Data Scientist, including 2 years in a product-facing role
- At least 2 years working at a SaaS or technology product company, with knowledge of funnels, cohorts, engagement, retention, and monetization
- Track record of using data to shape product decisions, roadmaps, launches, or strategy
- Experience working with large event-level datasets
- Strong Python skills for production data analysis, experimentation, and data modeling
- Strong statistical foundations
- Ability to influence business strategy and align cross-functional stakeholders, including executives
- Strong communication skills and ability to turn complex analysis into clear recommendations
- Experience with modern data tools such as Snowflake or BigQuery, dbt, Airflow, and BI tools
- Bachelor’s degree in Statistics, Mathematics, Computer Science, Industrial Engineering, or equivalent
Nice to have
- Experience at an API-first, developer-focused, or product-led growth company
- Experience building and deploying machine-learning models
- Familiarity with LLMs, AI tools, or using AI agents in analytical work
- Personal projects, a GitHub profile, portfolio, or publications
- Master’s degree in Statistics, Mathematics, Computer Science, or equivalent
Benefits
- Competitive compensation
- Career growth and learning opportunities
- Flexibility and ownership
- Collaborative, innovative culture
- Opportunity to work on impactful AI projects
- International environment and talented teams