Own, operate, and maintain the architecture and infrastructure of our data stack (e.g. BigQuery, dbt, Fivetran)
Ensure that the data we need to understand and serve our stakeholders is available, accurate, and accessible
Partner with GTM, Self-Serve, Marketing, Finance, and BizApps (and other stakeholders) to understand their data needs and identify places where the analytics stack can improve on what they’re doing
Become the go-to expert on our data pipeline, data tools, and what our data means
Create data processes and standard operating procedures that leverage AI agent skills and rules
Create and own best practices for version control, documentation, testing, and other data-related areas

3-5 years experience contributing to data modeling
Experience with dbt
Experience working with a wide variety of peers and stakeholders, from business users to analysts to data engineers
Experience creating and maintaining data quality tests and logic tests (e.g. unit tests)
Established track record enabling stakeholders to use data by various means such as documentation, training, and cataloging
A passion for understanding business questions and making data driven insights. Excellent analytical skills
An understanding of coding agents & agentic coding practices and patterns
Experience working in cloud environments such as AWS or GCP is a plus!
Familiarity with the monitoring, observability, log aggregation, or APM market is a plus!
Strong analytical, data processing, and problem-solving skills
Exceptional attention to detail
Strong verbal and written communications skills with the ability to effectively communicate with all levels of employees and provide support globally
Experience implementing best practices for analytics, dashboarding, documentation, and testing
Experience building collaboration and rapport within an organization with both technical and non-technical members
Experience working in a “remote first” environment
Empathetic, understanding, and humble
Strong work ethic
Experience working well in both a team environment and independently
Inquisitive demeanor with willingness to learn new technologies and responsibilities

100% Remote, Global Culture
Scaling Organization
Transparent Communication
Innovation-Driven
Open Source Roots
Empowered Teams
Career Growth Pathways
Approachable Leadership
Passionate People
In-Person onboarding
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.

Senior Analytics Engineer

Key skills