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, 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.
As a team member responsible for helping to bridge the gap between business and technology, the Analytics Engineer role requires equal amounts business acumen and technical acumen.
The Analytics Engineer reports to the Manager, Data.
The Analytics Engineer is a grade 6.
The Senior Analytics Engineer reports to the Manager, Data.
The Senior Analytics Engineer is a grade 7.
Responsibilites for the Senior Analytics Engineer extend the Analytics Engineer (Intermediate) job. In addition:
Requirements for the Senior Analytics Engineer extend the Analytics Engineer (Intermediate) job. In addition:
The Staff Analytics Engineer reports to the Manager, Data.
The Staff Analytics Engineer is a grade 8.
Market Justification: From a survey data perspective 98 companies have this role with an average of 3 employee incumbents in all industries. In tech there are 33 companies reporting an average of 2 employee incumbents. The business justification for Analytics Engineer Staff and Principal job grades is to retain and develop deep technical talent by establishing Individual Contributor focused career paths for our team members who do not want to move into Data People Management. Despite residing in the Finance Division, all Data job families are deeply technical in nature and require knowledge of databases, SQL, and modeling. Education in a technical field, typically Computer Science, Mathematics, Management Information Systems, or Data Analytics is typical for individuals in Data careers. At GitLab, the Analytics Engineer role is critical to support the growing Data Program because it helps glue together the business-facing Data Analyst roles with the technology-focused Data Engineering roles by creating data solutions for both roles. The Analytics Engineer is a specialized in dbt, which GitLab has chosen as the standard for developing Trusted Data Models.
Responsibilites for the Staff Analytics Engineer extend the Senior Analytics Engineer job. In addition:
Requirements for the Staff Analytics Engineer extend the Senior Analytics Engineer job. In addition:
Specializations within the Staff Analytics Engineer extend the Senior Analytics Engineer job:
The Principal Analytics Engineer is a grade 9.
Market Justification: While there is limited supporting survey data for a grade 9, the same market justification for a Staff Analytics Engineer holds true for a Principal Analytics Engineer. In addition, Analytics Engineering is a relatively new job family in the Data space and is not as mature as the well-established Data Analysis, Data Engineering, and Data Scientist job families. Despite this, the Analytics Engineering job family is growing quickly and there are reasonable analysis to support the addition of new job grades:
Responsibilites for the Principal Analytics Engineer extend the Staff Analytics Engineer job. In addition:
Requirements for the Principal Analytics Engineer extend the Staff Analytics Engineer job. In addition:
We are evaluating the addition of levels beyond the Senior level. Currently, beyond the Senior Analytics Engineer level the next step is to move to the Manager, Data job family.
Candidates for this position can expect the hiring process to follow the order below. Please keep in mind that candidates can be declined from the position at any stage of the process.
Additional details about our process can be found on our hiring page.
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