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 a 100% remote company building an open observability cloud. The Product Analytics team is hiring a Staff Product Analyst to serve as a strategic partner to Grafana’s AI organization, supporting Grafana Assistant (synchronous chat), Investigations (asynchronous AI incident analysis workflows), and AI observability solutions such as Sigil. This role reports to the Product Analytics Manager and focuses on defining KPIs, improving measurement practices, guiding experiment design and evaluation, and translating data into recommendations that influence product decisions.
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; familiarity with 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, implementing Product Analytics tooling (e.g., Heap, Pendo, Amplitude, FullStory), and using 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 and ability to explain technical topics to non-technical audiences and maintain cross-team relationships
Nice to have
- Knowledge about observability
- Familiarity with Airflow or Prefect for ad hoc ETL jobs
Compensation & Location
- This is a remote position. Grafana Labs is looking for candidates in the United Kingdom, Germany, Sweden, or Spain.
- In Sweden the base compensation range for this role is SEK 775,444 - 930,533. Actual compensation may vary by level, experience, and skillset as assessed in the interview process.
Benefits & Culture
- Equity and bonus (if applicable) and other benefits listed on the company careers page
- 100% remote, global culture with in-person onboarding
- Global annual leave policy of 30 days per annum (with 3 reserved Grafana Shutdown Days)
- Transparent communication, scaling organization, innovation-driven environment, career growth pathways, and approachable leadership
Equal Opportunity
Grafana Labs is an equal opportunities employer and welcomes applicants from diverse backgrounds. The company may utilize AI tools in its recruitment process to assist in matching CVs to job postings.