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.
This is a remote opportunity and we would be interested in applicants from USA time zones only at this time.
Senior Analytics EngineerThe Opportunity:
The Senior Analytics Engineer will be responsible for empowering analysts and data-driven stakeholders by owning the architecture and infrastructure by which we ingest, transform, test, document, and connect data across Grafana Labs. Critical to the success of this role will be consistent communication with end stakeholders (analysts and business partners) in order to build a data stack that is flexible enough to meet the needs of our business as we grow.
What You’ll Be Doing:
- Own, operate, and maintain the architecture and infrastructure of our data stack (e.g. BigQuery, dbt, Fivetran)
- Ensure that the data we need to understand and serve our stakeholders is available, accurate, and accessible
- Partner with GTM, Self-Serve, Marketing, Finance, and BizApps (and other stakeholders) to understand their data needs and identify places where the analytics stack can improve on what they’re doing
- Become the go-to expert on our data pipeline, data tools, and what our data means
- Create data processes and standard operating procedures that leverage AI agent skills and rules
- Create and own best practices for version control, documentation, testing, and other data-related areas
What Makes You a Great Fit:
- 3-5 years experience contributing to data modeling
- Experience with dbt
- Experience working with a wide variety of peers and stakeholders, from business users to analysts to data engineers
- Experience creating and maintaining data quality tests and logic tests (e.g. unit tests)
- Established track record enabling stakeholders to use data by various means such as documentation, training, and cataloging
- A passion for understanding business questions and making data driven insights. Excellent analytical skills
- An understanding of coding agents & agentic coding practices and patterns
- Experience working in cloud environments such as AWS or GCP is a plus!
- Familiarity with the monitoring, observability, log aggregation, or APM market is a plus!
- Strong analytical, data processing, and problem-solving skills
- Exceptional attention to detail
- Strong verbal and written communications skills with the ability to effectively communicate with all levels of employees and provide support globally
- Experience implementing best practices for analytics, dashboarding, documentation, and testing
- Experience building collaboration and rapport within an organization with both technical and non-technical members
- Experience working in a “remote first” environment
- Empathetic, understanding, and humble
- Strong work ethic
- Experience working well in both a team environment and independently
- Inquisitive demeanor with willingness to learn new technologies and responsibilities
Compensation & Rewards:
In the United States, the Base compensation range for this role is USD 127,651 - USD 153,180. 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.
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Grafana Labs New York, New York, USA Office
29 Broadway, Penthouse, New York, New York, United States, 10006
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