Grafana Labs
Analytics Manager | Canada| Remote
Job Summary
The role involves developing dashboards and reports to support Sales and operational teams, with a focus on data-driven decision-making within a fast-paced environment. Candidates should have experience in sales or GTM organizations, proficiency in SQL, JavaScript, and data visualization tools, along with a background in data engineering and business intelligence. The position emphasizes cross-functional collaboration, data modeling, and providing insights to senior management. It offers the opportunity to work remotely at a high-growth tech company with a strong open-source culture.
Required Skills
Benefits
Job Description
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 an expert in Sales and Analytics who can partner deeply and efficiently across our Go-To-Market organization to help support high-tempo, data-driven decisions. Reporting to our Director of RevOps Analytics, the Analytics Manager will be part of a rapidly growing Revenue Operations team focused on bringing greater predictability and insight to the business, and helping define our GTM strategy. To be successful, you will be able to operate in an unstructured, fast paced environment and look forward to building the foundations for our future growth. You will bring a solid technical foundation across a wide variety of skills used in the GTM Organization to tackle critical operational and business initiatives.
What You’ll Be Doing:
- Develop reliable, accurate, powerful, and easy-to-use dashboarding, tooling, and reporting to support Sales and operational teams
- Develop repeatable, scalable models to help define Go-To-Market planning and performance assessment
- Partner cross functionally to establish a team perspective on ongoing growth opportunities (new markets, expansion of channels, methods to increase rep productivity, etc.)
- Optimize the information design across the GTM technology stack to enable the development of marketing and sales analytics
- Work closely with GTM leadership to prepare thoughtful analysis and insights for senior leadership
- Define highly accurate, stable, and performant data models that feed production system integrations and key source tables for analytics
- Manage urgent ad hoc data analysis / QA support requests
What Makes You a Great Fit:
- Experience in a Sales or GTM organization, and familiar with common sales models like rep productivity, rep capacity, campaign influence, and quota modeling
- 3+ years of SQL experience: writing complex yet efficient SQL is a daily habit for you
- 1+ year of JavaScript experience
- 1+ year of Data Visualization Experience with one of the following tools: Tableau, Looker, Mode Analytics, Sisense
- Experience getting their hands dirty with ETL / data engineering and familiar with popular data warehouses (BigQuery, Snowflake, etc)
- Experience with the following: Salesforce, BigQuery, DBT, ZenDesk
- Excellent communication skills with senior management audiences- explain “what it is”, “why it matters” and “what should we do” in terms of your data and analysis; deliver customer-oriented KPIs, dashboards, and runbooks in order to ensure alignment with those audiences
- Previous experience with Grafana visualization, or a desire to invest the time to learn
Bonus Points For:
- Knowledge of consumption modeling financial metrics
- 3+ years of production model development
- 1+ year of Python / Spark / Scala - familiar with statistical and machine learning packages, as well as generating ad hoc ETL jobs
- Experience as a user of any of the following tools - JIRA, Asana, Databricks, Github, Intercom, MixPanel, Optimizely, Marketo
Compensation & Rewards:
In Canada, the OTE (On-Target Earnings) compensation range for this role is CAD 116,788 - CAD 140,146. 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
Grafana Labs
Grafana is the open source analytics & monitoring solution for every database.
See more jobsSafe Remote Job Search Tips
Verify Employer Thoroughly
Research the company's identity thoroughly before applying. Check for a professional website with contacts, active social media, and LinkedIn profiles. Verify details across platforms and look for reviews on Glassdoor or Trustpilot to confirm legitimacy.
Never Pay to Get a Job
Legitimate employers never require payment for applications, training, background checks, or equipment. Always reject upfront payment requests or demands for bank details, even if they claim it's for purchasing necessary work gear on your behalf.
Safeguard Your Personal Information
Protect sensitive data like SSN, bank details, or ID copies. Share this only after accepting a formal, written job offer. Ensure it's submitted via a secure company system or portal, never through insecure channels like standard email attachments.
Scrutinize Communication & Interviews
Watch for communication red flags: poor grammar, generic emails (@gmail), vague details, or undue pressure. Be highly suspicious of interviews held only via text or chat apps; legitimate companies typically use video or phone calls.
Beware of Unrealistic Offers
If an offer's salary or benefits seem unrealistically high for the work involved, be cautious. Research standard pay for similar roles. Offers that appear 'too good to be true' are often scams designed to lure you into providing information or payment.
Insist on a Formal Contract
Always secure and review a formal, written job offer or employment contract before starting work or sharing final personal details. Ensure it clearly defines your role, compensation, key terms, and conditions to avoid misunderstandings or scams.