Note: The job is a remote job and is open to candidates in USA. Grafana Labs is the company behind the open observability cloud, committed to open source and innovation. They are seeking a Senior Manager, Analytics & Insights to support data-driven decisions across their Go-To-Market and Finance organizations, focusing on building a robust analytics practice to enhance business performance.
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
- Work closely with GTM leadership to prepare thoughtful analysis and insights for senior leadership
- Manage urgent ad-hoc data analysis and QA support requests
Skills
- 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 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
- 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 experience with Grafana visualization, or a desire to invest the time to learn
- Knowledge of financial metrics, revenue recognition
- 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
- Project management experience
- Experience with documentation of datasets and tooling for MCP server ingestion, construction of AI skills and plugins
- Experience as a user of any of the following tools: Jira, Asana, Databricks, GitHub, Hightouch, Fivetran
Benefits
- All of our roles include Restricted Stock Units (RSUs), giving every team member ownership in Grafana Labs' success.
- 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.
- 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.
Company Overview
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