Senior Analytics Engineer
To see similar active jobs please follow this link: Remote Development jobs
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 & 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 & 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 process and standard operating procedures for the Data team
Create and own best practices for version control, documentation, testing, etc.
Requirements
3-5 years experience contributing to data modeling
Experience with dbt
3-5 years experience in developing dashboards and visualizations
A passion for understanding business questions and making data driven insights. Excellent analytical skills.
Be able to understand the business at a level to influence VP priorities and company strategy.
Consistent track record of using quantitative analysis to impact key business decisions
Ability to present data concisely through written and oral communication. Expert at influencing business stakeholders
BS degree in Economics, Mathematics, Engineering, Statistics or relevant degree
Experience working in cloud environments such as AWS, 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, 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
About the job
Senior Analytics Engineer
To see similar active jobs please follow this link: Remote Development jobs
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 & 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 & 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 process and standard operating procedures for the Data team
Create and own best practices for version control, documentation, testing, etc.
Requirements
3-5 years experience contributing to data modeling
Experience with dbt
3-5 years experience in developing dashboards and visualizations
A passion for understanding business questions and making data driven insights. Excellent analytical skills.
Be able to understand the business at a level to influence VP priorities and company strategy.
Consistent track record of using quantitative analysis to impact key business decisions
Ability to present data concisely through written and oral communication. Expert at influencing business stakeholders
BS degree in Economics, Mathematics, Engineering, Statistics or relevant degree
Experience working in cloud environments such as AWS, 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, 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