Analytics Engineers sit at the intersection of business teams, Data Analytics and Data Engineering and are responsible for bringing robust, efficient, and integrated data models and products to life. Analytics Engineers speak the language of business teams and technical teams, they are able to translate data insights and analysis needs into models powered by the Enterprise Data Platform. The successful Analytics Engineer is able to blend business acumen with technical expertise and transition between business strategy and data development.
The role involves designing, developing, and extending dbt code to extend the Enterprise Dimensional Model, approving data model changes, providing data modeling expertise to all GitLab teams, and owning stakeholder relationships in various business functions. The Senior Analytics Engineer serves as a Data Model subject matter expert, advocates for the Data Quality Program, and guides work breakdown sessions. They will also organize and plan quarter-long development initiatives as per the Data Team Planning Drumbeat.