Used Tools & Technologies
Not specified
Required Skills & Competences
Tag name is followed by "@" symbol and proficiency level value.
About proficiency levels:
- 1-2 — basic awareness. Minimal hands-on experience, and a rudimentary understanding of the technology's purpose;
- 3-6 — daily use. Comfortable and regular usage, capable of handling common tasks and challenges related to the technology;
- 7-9 — you are an expert, you can teach others, you know all the pitfalls and tricks;
- 10 — exceptional knowledge, comprehensive understanding, and adeptness in all aspects of the technology, including advanced problem-solving. Think twice before claiming or demanding such level.
Grafana @ 4
SQL @ 7
A/B Testing @ 3
Looker @ 4
Tableau @ 4
dbt @ 4
ETL @ 3
Airflow @ 3
Communication @ 4
Git @ 4
Product Management @ 4
Claude Code @ 4
Observability @ 4
AI @ 4
Data Visualization @ 4
Data Modeling @ 4
- 1-2 — basic awareness. Minimal hands-on experience, and a rudimentary understanding of the technology's purpose;
- 3-6 — daily use. Comfortable and regular usage, capable of handling common tasks and challenges related to the technology;
- 7-9 — you are an expert, you can teach others, you know all the pitfalls and tricks;
- 10 — exceptional knowledge, comprehensive understanding, and adeptness in all aspects of the technology, including advanced problem-solving. Think twice before claiming or demanding such level.
Details
Grafana Labs, the company behind the open observability cloud, is founded on open source, open standards, open ecosystems, and open culture. We’re a 100% remote company building Grafana Cloud — a managed observability platform with AI-powered experiences. We are looking for a Staff Product Analyst to join the Product Analytics team as a strategic partner to Grafana’s AI organization, supporting products such as Grafana Assistant, Investigations, and AI observability solutions including Sigil.
Responsibilities
- Partner cross-functionally across Product to establish top-level KPIs, dashboards, and product roadmap planning
- Define how success is measured for AI-powered product experiences, including adoption, engagement, quality, retention, and user outcomes
- Guide the instrumentation of product data in collaboration with Product Design, Product Management, and Engineering to enable reliable analysis of AI features and workflows
- Design, evaluate, and interpret experiments to assess the impact of new AI capabilities and inform product decisions
- Develop dbt models to transform and test user behavior data in partnership with the Analytics Engineering team
- Influence best practices for Product Analytics across teams and help define standards as the company scales
- Contribute to defining the long-term vision and strategy for Product Analytics, balancing near-term needs with scalable, durable solutions
Requirements
- Experience partnering across product and engineering organizations, and familiarity with typical product KPIs and frameworks (e.g., DAU/MAU, funnels, A/B testing)
- Experience defining and tracking success metrics for complex product areas, ideally including AI-powered features or workflows
- Strong SQL skills; writing complex yet efficient SQL is a daily habit
- Data visualization experience with tools such as Tableau, Looker, Omni, Hex, or Grafana
- Experience writing dbt models and implementing Product Analytics tooling (e.g., Heap, Pendo, Amplitude, FullStory)
- Experience with code version control (git)
- Experience using AI-assisted coding tools (e.g., Cursor, Claude Code) to prototype and iterate across analysis, data modeling, instrumentation, visualization and code development
- Excellent communication skills; able to explain technical topics to non-technical audiences and maintain essential cross-team relationships
A plus if you have
- Knowledge about observability
- Familiarity with Airflow or Prefect for generating ad hoc ETL jobs
Compensation
- In the UK, the base compensation range for this role is £91,755 - £110,106. Actual compensation may vary based on level, experience, and skillset as assessed in the interview process. Benefits include equity, bonus (if applicable) and other benefits listed on Grafana's careers page.
Benefits & Other Details
- 100% remote company with global team
- In-person onboarding
- Global annual leave policy of 30 days per annum (3 days reserved for Grafana Shutdown Days)
- Career growth pathways, transparent communication, and an innovation-driven culture
Equal Opportunity
Grafana Labs is an equal opportunities employer and welcomes applications from everyone. The company may utilize AI tools in its recruitment process to assist in matching CVs to job postings; recruitment team will continue to review inbound CVs manually.