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
Hiring @ 4
Leadership @ 4
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 is hiring a Staff Product Analyst to join the Product Analytics team and serve as a strategic partner to the AI organization. The role supports teams building Grafana Assistant (synchronous chat), Investigations (asynchronous AI workflow for incident analysis), and AI observability solutions including Sigil. This is a remote position targeting candidates located in the United Kingdom, Germany, Sweden, or Spain. The role reports to the Product Analytics Manager.
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 cross-team relationships.
A plus
- Knowledge about observability.
- Familiarity with Airflow or Prefect for generating ad hoc ETL jobs.
Compensation & Benefits
- Germany base compensation range: €97,034 - €116,441 (actual compensation may vary by level, experience, and skillset). Benefits include equity, bonus (if applicable) and other benefits listed by Grafana Labs.
- 100% remote company culture; in-person onboarding is provided.
- Global annual leave policy of 30 days per annum (with 3 days reserved for Grafana Shutdown Days). Grafana will comply with local legislation where applicable.
- Additional company benefits: transparent communication, career growth pathways, innovation-driven environment, and supportive leadership.
Additional notes
- Grafana Labs is an equal opportunity employer and may utilize AI tools in its recruitment process to assist in matching CV information to job postings.