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Staff Product Analyst | USA | Remote

United States (Remote)

Grafana Labs is a remote-first, open-source powerhouse. There are more than 20M users of Grafana, the open source visualization tool, around the globe, monitoring everything from beehives to climate change in the Alps. The instantly recognizable dashboards have been spotted everywhere from a NASA launch and Minecraft HQ to Wimbledon and the Tour de France. Grafana Labs also helps more than 3,000 companies -- including Bloomberg, JPMorgan Chase, and eBay -- manage their observability strategies with the Grafana LGTM Stack, which can be run fully managed with Grafana Cloud or self-managed with the Grafana Enterprise Stack, both featuring scalable metrics (Grafana Mimir), logs (Grafana Loki), and traces (Grafana Tempo).

We’re scaling fast and staying true to what makes us different: an open-source legacy, a global collaborative culture, and a passion for meaningful work. Our team thrives in an innovation-driven environment where transparency, autonomy, and trust fuel everything we do.

You may not meet every requirement, and that’s okay. If this role excites you, we’d love you to raise your hand for what could be a truly career-defining opportunity.

The Opportunity:

We are looking for a Staff Product Analyst to join our growing data team and guide our implementation of Product Analytics tooling (e.g., FullStory, Rudderstack) and help drive product strategy and roadmap prioritization through data. This role will partner closely with our R&D functions, with a specific focus on supporting the Product Design department, and report to our Head of Data.

If you are excited about helping to build our Product Analytics team in our next stage of growth, we'd love to hear from you!

What You’ll Be Doing:

  • Partner cross-functionally across Product to establish top-level KPIs, dashboards, and product roadmap planning.
  • Guide the instrumentation of product data in collaboration with our Product Design, Product Management, and Engineering teams.
  • Enable and scale the effective use of FullStory (and other Product Analytics tools) across Product Design teams to uncover user behavior, pain points, and opportunities.
  • Develop dbt models to transform and test our user behavior data in partnership with our 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.

What Makes You a Great Fit:

  • Experience partnering across product and engineering organizations, and familiarity with typical product KPIs and frameworks (e.g., DAU/MAU, funnels, A/B testing).
  • SQL: writing complex yet efficient SQL is a daily habit for you.
  • Data Visualization: experience with any of the following tools: Tableau, Looker, Omni, Hex, or of course, Grafana!
  • Experience writing dbt models, implementing Product Analytics tooling (e.g., Heap, Pendo, Amplitude, FullStory), and code version control (git).
  • Experience using AI-assisted coding tools (e.g., Cursor, Claude Code) to quickly 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 many of the essential cross-team and cross-functional relationships necessary for the team’s success.

Bonus Points For:

  • Knowledge about observability.
  • Familiarity with Airflow or Prefect - generating ad hoc ETL jobs.

In the United States, the base compensation range for this role is $162,275 - $194,730. Actual compensation may vary based on level, experience, and skillset as assessed throughout the interview process. All of our roles include Restricted Stock Units (RSUs), giving every team member ownership in Grafana Labs' success. We believe in shared outcomes—RSUs help us stay aligned and invested as we scale globally.

*Compensation ranges are country specific. If you are applying for this role from a different location than listed above, your recruiter will discuss your specific market’s defined pay range & benefits at the beginning of the process.

Why You’ll Thrive at Grafana Labs:

  • 100% Remote, Global Culture - As a remote-only company, we bring together talent from around the world, united by a culture of collaboration and shared purpose.
  • Scaling Organization – Tackle meaningful work in a high-growth, ever-evolving environment.
  • Transparent Communication – Expect open decision-making and regular company-wide updates.
  • Innovation-Driven – Autonomy and support to ship great work and try new things.
  • Open Source Roots – Built on community-driven values that shape how we work.
  • Empowered Teams – High trust, low ego culture that values outcomes over optics.
  • Career Growth Pathways – Defined opportunities to grow and develop your career.
  • Approachable Leadership – Transparent execs who are involved, visible, and human.
  • Passionate People – Join a team of smart, supportive folks who care deeply about what they do.
  • In-Person onboarding - We want you to thrive from day 1 with your fellow new ‘Grafanistas’ to learn all about what we do and how we do it. 
  • Balance is Key - We operate a global annual leave policy of 30 days per annum. 3 days of your annual leave entitlement are reserved for Grafana Shutdown Days to allow the team to really disconnect. *We will comply with local legislation where applicable.

Equal Opportunity Employer: We will recruit, train, compensate and promote regardless of race, religion, color, national origin, gender, disability, age, veteran status, and all the other fascinating characteristics that make us different and unique. We believe that equality and diversity builds a strong organization and we’re working hard to make sure that’s the foundation of our organization as we grow.

Grafana Labs may utilize AI tools in its recruitment process to assist in matching information provided in CVs to job postings. The recruitment team will continue to review inbound CVs manually to identify alignment with current openings.

#LI-Remote

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