opengreenhouselsvp
Senior Manager, Analytics & Insights | United States | Remote
Grafana Labs
LocationUnited States (Remote)
WorkplaceFull
Last observed2026-06-13 05:23:53.374079
Job idlsvp-grafana-labs:greenhouse:6000478004
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. With Grafana Cloud's actually useful AI, organizations can see, understand, and act on all their disparate data to move at the speed of their ambitions. Today, more than 35 million users and 7,000+ customers – including Anthropic, Bloomberg, NVIDIA, Microsoft, and Salesforce – trust Grafana Labs to ensure reliability of their applications and systems, resolve incidents quickly, and optimize their telemetry to reduce noise and cost. We are a 100% remote company with 1,600+ team members across 40+ countries, and we’re backed by leading investors including Lightspeed Venture Partners, Sequoia Capital, GIC, Coatue, J.P. Morgan, CapitalG, and Lead Edge Capital. Learn more at grafana.com and follow us on LinkedIn and X . 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 and Finance organizations to help support high-tempo, data-driven decisions. Reporting to our Director of Analytics & Insights, this role 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. You are deeply curious, intensely detail-oriented, and excited by new and challenging puzzles. Your background in Sales / Financial Analytics gives you the confidence to hit the ground running to define the building blocks of a sound data and analytics practice, but you continually look to tailor your models and insights to the unique attributes of the environment. You thrive collaborating with teammates who challenge you to grow every day, and your experience has given you the balanced ability to put a hard technical problem under a microscope without losing sight of the bigger picture required to effectively communicate with executive stakeholders. What You’ll Be Doing: Design reliable, accurate, powerful, and easy-to-use dashboarding, tooling, and reporting to support Sales and operational teams Develop reliable, accurate data models to help define financial and business performance metrics, from source data down through user-friendly reporting layers Lead cross-functional projects to develop tooling and datasets in support of the needs of operational teams; provide continuous enablement for these teams to self-serve basic data needs using what Analytics & Insights constructs Optimize the information design across the GTM technology stack to enable the development of marketing, sales, and financial analytics Work closely with GTM leadership to prepare thoughtful analysis and insights for senior leadership. Manage urgent ad-hoc data analysis and 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 5+ years of SQL experience: writing complex yet efficient SQL is a daily habit for you 3+ years of data visualization experience with one of the following to
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