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Senior Product Data Analyst
On-siteFull-timeProduct AnalyticsEnterprise Software
Own product and growth analytics for a SaaS platform, helping product teams understand signup, activation, feature adoption, retention, and release performance. Partner with product managers, engineers, and leadership to turn complex questions into trusted insights and practical decisions. The role,
Responsibilities
- Define events, funnels, activation criteria, adoption metrics, and post-launch measurement with product managers and engineers
- Analyze signup conversion, first-day behavior, feature adoption, retention, and release performance
- Provide leadership with trusted insights and actionable recommendations
- Define and validate analytics events and integrate them into usage and feature-usage models
- Extend and validate dbt models, managing changes through pull requests and CI
- Build and maintain focused Looker dashboards for product decisions
- Investigate anomalies, usage drops, tracking failures, spam, and inconsistent metrics
- Convert repeatable analyses and operational processes into agent skills, rules, and automated workflows
Requirements
- At least 3 years of product or growth analytics experience in a fast-paced SaaS or web company
- Advanced SQL skills and experience with large event datasets
- Production dbt experience, including data lineage, DAGs, testing, and CI
- Experience with Git-based workflows, pull requests, and code reviews
- Experience building decision-oriented dashboards in Looker or a comparable BI platform
- Practical experience using AI agents in analytical or engineering workflows
- Strong business judgment and ability to turn ambiguous questions into clear analytical approaches
- Strong communication, ownership, adaptability, and stakeholder-influence skills
Nice to have
- Experience designing and testing a governed semantic layer
- Python experience
- Background in statistics, experimentation, or A/B testing
- Experience with B2B, multi-tenant products and company- and user-level behavior
- Experience building agent skills, rules, automated workflows, or internal data agents
Benefits
- Professional development and ongoing training
- Team social events
- Supportive and collaborative work environment