Senior Finance Analytics Manager | United States | Remote
About The Position
Grafana Labs is seeking a Senior Finance Analytics Manager to establish and lead their Corporate Finance Analytics function. This is a high-impact, individual contributor role with end-to-end ownership, reporting to the Senior Finance Director of Corporate, R&D, and G&A. The role operates in an unstructured, fast-paced, remote-first environment, focusing on establishing reporting guardrails and analytical frameworks to support growth and data-driven decision-making. The position offers deep exposure to key operating metrics and strategic decision-making, requiring a blend of technical analytical skills and business judgment for executive-level communication.
Requirements
- 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.
- 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.
- 3+ years of experience building user-focused, production-quality dashboards in tools like Looker, Tableau, Mode, or Sisense.
- Practical experience performing data model development, building ETL processes, and working within modern data warehouses (e.g., BigQuery, Snowflake).
- Familiarity with core enterprise systems and data structures, specifically NetSuite and Salesforce.
- Exceptional communication skills with a proven track track record of translating complex analysis into structured narratives for senior management.
- Strong critical reasoning and financial modeling skills.
- Understand common pitfalls of data analysis.
- Know how to track core SaaS metrics (ARR, NDR, retention).
- Can map operational trends directly to financial outcomes.
Nice To Haves
- Previous experience with Grafana visualization, or a strong desire to invest the time to learn it.
- Familiarity with dbt is highly desirable.
- Experience working in a high-growth SaaS, cloud, or open-source company, particularly within a public company or an environment undergoing IPO readiness.
- Proven success working within globally distributed, remote-first organizations across multiple time zones.
- 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.
Responsibilities
- Partner with distributed data teams to build, iterate, and optimize corporate data architecture.
- Develop reliable data models to define and track company-wide performance metrics from raw data to reporting layers.
- Design, build, and maintain production-quality dashboards and scalable data products.
- Establish reliable, automated tooling for real-time monitoring of key operating metrics.
- Build advanced analytical models to gain insights into customer behaviors and macro trends, linking operational opportunities to financial outcomes.
- Synthesize complex data and analyses into compelling narratives and actionable insights for executive consumption.
- Lead cross-functional projects to develop datasets supporting organizational needs.
- Provide documentation and enablement for finance and business teams to self-serve data needs.
- Manage urgent, ad-hoc data analysis requests.
- Maintain rigorous QA support for core financial data.
- Set a high bar for analytics integrity across the organization.
Benefits
- Restricted Stock Units (RSUs)
- 30 days of global annual leave
- 3 days reserved for Grafana Shutdown Days
- In-Person onboarding
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What This Job Offers
Job Type
Full-time
Career Level
Senior
Education Level
No Education Listed
