Staff AI Product Analyst
Skills
AdoptionAnalyticsCode DesignData AnalyticsGrafanaModelingProduct Road Mapping
What the job involves
The main requirements, responsibilities and hiring steps.
Requirements
- Experience partnering across product and engineering organizations
- Familiarity with product KPIs and frameworks such as DAU/MAU funnels and A/B testing
- Experience defining and tracking success metrics for complex product areas ideally AI-powered features or workflows
- Strong SQL skills with complex efficient query writing as a daily habit
- Experience with data visualization tools such as Tableau Looker Omni Hex or Grafana
- Experience writing dbt models and using Product Analytics tools such as Heap Pendo Amplitude or FullStory
- Experience with AI-assisted coding tools to prototype and iterate across analysis data modeling instrumentation visualization and code development
- Excellent communication skills for technical and non-technical audiences
Nice to have
- Observability knowledge
- Airflow familiarity
- Prefect familiarity
Day to day
- Partner cross-functionally across Product to define top-level KPIs dashboards and roadmap planning for AI-powered experiences
- Shape how success is measured for Grafana Assistant Investigations and AI observability solutions by tracking adoption engagement quality retention and user outcomes
- Guide product data instrumentation and experiment design then translate analysis into clear recommendations that influence product decisions
- Develop dbt models and support scalable Product Analytics practices that improve measurement standards across the company