Senior Finance Analytics Manager

Details

Grafana Labs, the company behind the open observability cloud, is founded on the principles of open source, open standards, open ecosystems, and open culture. Grafana Cloud, our fully managed observability platform, is flexible and built for scale.

We’re a 100% remote company with 1,600+ team members across 40+ countries.

The Opportunity

We are looking for a Senior Finance Analytics Manager to join our Finance and Strategy team and stand up our Corporate Finance Analytics function. This is a high-impact, individual contributor role with end-to-end ownership and no direct people management responsibilities, reporting to the Senior Finance Director of Corporate, R&D, and G&A.

To be successful, you should look forward to operating in an unstructured, fast-paced, remote-first environment where you will establish the reporting guardrails and analytical frameworks for our future growth, bringing greater predictability and insight to support high-tempo, data-driven decisions.

In this role, you will gain deep exposure to company-wide key operating metrics (e.g., Customer Count, ARR, NDR) and provide critical insights to strategic decision-making. You will help define the building blocks of a sound data and financial analytics practice—developing impactful analyses, building datasets, and creating dashboards for our evolving business.

What You’ll Be Doing

• Data Modeling & Architecture: Partner with distributed data teams to build, iterate, and optimize corporate data architecture. Develop reliable data models to help define company-wide performance metrics, tracking them from raw source data through user-friendly reporting layers.
• Dashboards & Reporting: Design, build, and maintain production-quality dashboards and scalable data products. Establish reliable, automated tooling that allows internal stakeholders to monitor key operating metrics in real-time.
• Advanced Analytics & Deep Dives: Build advanced analytical models to unlock deeper insights into customer behaviors and macro trends, mapping operational opportunities directly to financial outcomes.
• Executive Storytelling: Synthesize complex data and analyses into compelling, structured narratives and actionable insights for executive consumption and senior leadership decision-making.
• Enablement & Governance: Lead cross-functional projects to develop datasets that support the organization’s evolving needs; provide documentation and continuous enablement so finance and business teams can self-serve basic data needs.
• Operational Excellence: Maintain a high bar for analytics integrity across the organization by managing urgent, ad-hoc data analysis requests and maintaining rigorous QA support for core financial data.

What Makes You a Great Fit

• Professional Experience: 5+ years of experience in corporate analytics, financial analytics, data science, or a directly related quantitative field. Experience in a fast-paced technology or SaaS business is highly preferred.
• SQL Mastery: 5+ years of hands-on SQL experience, with a daily habit of writing complex, highly efficient queries to mine data and build production-ready data models.
• Data Visualization: 3+ years of experience building user-focused, production-quality dashboards in tools like Looker, Tableau, Mode, or Sisense. Previous experience with Grafana visualization, or a strong desire to invest time to learn it, is a major plus.
• Data Stack & Architecture: Practical experience performing data model development, building ETL processes, and working within modern data warehouses (BigQuery, Snowflake). Familiarity with dbt is highly desirable.
• Business Systems: Familiarity with enterprise systems and data structures, specifically NetSuite and Salesforce, to understand how financial and operational data flows from the source to reporting layers.
• Executive Communication: Exceptional communication skills with a proven track record of translating complex analysis into structured narratives for senior management.
• Analytical Balance: Strong critical reasoning and financial modeling skills, including tracking core SaaS metrics (ARR, NDR, retention) and mapping operational trends directly to financial outcomes.

Bonus Points For

• Industry & Scale Context: Experience in a high-growth SaaS, cloud, or open-source company—particularly within a public company or an environment undergoing IPO readiness.
• Global Collaboration: Proven success working within globally distributed, remote-first organizations across multiple time zones.
• AI & LLM Data Preparation: Experience documenting datasets and optimizing tooling for Model Context Protocol (MCP) server ingestion, or constructing AI skills and plugins to enable automated, LLM-driven internal data discovery.

Compensation and Rewards

In the United States, the base compensation range for this role is $160,000 - $195,000. Actual compensation may vary based on level, experience, and skillset as assessed throughout the interview process. All roles include Restricted Stock Units (RSUs).

Why You’ll Thrive at Grafana Labs

• 100% Remote, Global Culture
• Scaling Organization
• Transparent Communication
• Innovation-Driven
• Open Source Roots
• Empowered Teams
• Career Growth Pathways
• Approachable Leadership
• In-Person onboarding
• Balance is Key: global annual leave policy of 30 days per annum, with 3 days reserved for Grafana Shutdown Days.

Equal Opportunity Employer

Grafana Labs is an equal opportunities employer.

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.