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Senior Analytics Engineer Grafana Labs. The Sr. Analytics Engineer will be responsible for empowering analysts and data-driven stakeholders by owning the architecture and infrastructure by which we ingest, transform, test, document, and connect data across Grafana Labs. Critical to the success of this role will be consistent communication with end stakeholders (analysts and business partners) in order to build a data stack that is flexible enough to meet the needs of our business as we grow.. Key Responsibilities. 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. Create and own best practices for version control, documentation, testing, and other data-related areas. Requirements. 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. `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!. What you’ll bring to the role. 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. In the US, the Base compensation range for this role is $123,933 - $148,719. Actual compensation may vary based on level, experience, and skillset as assessed in the interview process. Benefits include equity, bonus (if applicable) and other benefits listed . here. .. *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 & benefits at the beginning of the process