data
Posted May 19Senior Manager, Analytics & Insights | United States | Remote
at Grafana Labs
United StatesRemote
Responsibilities
- 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
- Manage urgent ad-hoc data analysis and QA support requests
Requirements
- 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 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.
- 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.
- 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.
- 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.
- Work closely with GTM leadership to prepare thoughtful analysis and insights for senior leadership.
- 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
- experience with one of the following tools: Tableau, Looker, Mode Analytics, Sisense •
- Experience getting your hands dirty performing production-ready, user-focused data model development / building ETLs; familiarity with popular data warehouses (BigQuery, Snowflake, etc.) •
- Experience with the following: Salesforce, BigQuery, dbt, NetSuite
- Knowledge of financial metrics, revenue recognition
- Experience with documentation of datasets and tooling for MCP server ingestion, construction of AI skills and plugins •
- Grafana Labs may utilize AI tools in its recruitment process to assist in matching information provided in CVs to job postings.
Experience
- 3+ years of data visualization
- 3+ years of production data model development
- 1+ years of Python / Spark / Scala - familiar with statistical and machine learning packages, as well as generating ad-hoc ETL jobs
Benefits
- experience with Grafana visualization, or a desire to invest the time to learn Bonus Points For:
- Experience as a user of any of the following tools: Jira, Asana, Databricks, GitHub, Hightouch, Fivetran Compensation and Rewards:
- In the United States, the base compensation range for this role is $ 202,244 - $242,693 .
- Actual compensation may vary based on level, experience, and skillset as assessed throughout the interview process.
- *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 &
- 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.
Contact
- Learn more at grafana.com and follow us on LinkedIn and X .
Additional 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 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.
- 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:
- 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 are deeply curious, intensely detail-oriented, and excited by new and challenging puzzles.
- You thrive collaborating with teammates who challenge you to grow every day, and your
- 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 user-oriented datasets, KPIs, dashboards, and runbooks to ensure alignment with those audiences Previous