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 @ 6
Communication @ 4
Git @ 4
Product Management @ 4
Claude Code @ 4
Observability @ 4
AI @ 6
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 remote-first company building Grafana Cloud, an open observability platform. The Product Analytics team is hiring a Staff Product Analyst to partner closely with Grafana’s AI organization to define KPIs, improve measurement practices, guide experiment design and evaluation, and translate data into recommendations that influence product decisions. The role supports Grafana Assistant (synchronous chat), Investigations (asynchronous AI workflow for incident analysis), and AI observability solutions such as 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 with Product Design, Product Management, and Engineering to enable reliable analysis of AI features and workflows.
- Design, evaluate, and interpret experiments (A/B tests) 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), and using code version control (git).
- Experience using AI-assisted coding tools (e.g., Cursor, Claude Code) to prototype and iterate on 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.
Nice to have
- Knowledge about observability.
- Familiarity with Airflow or Prefect for ad hoc ETL jobs.
Benefits / Compensation
- Base compensation range in Canada: $164,490 - $197,389 CAD (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 by Grafana Labs.
- 100% remote company with in-person onboarding; global annual leave policy of 30 days per annum (with 3 days reserved for Grafana Shutdown Days).