Manager, Senior Manager, or Director Engineering Analytics at GitLab Inc.

What you can expect in a Manager or Senior Manager, Engineering Analytics role at GitLab:

• Define the tools and process to deliver data-driven insights for the Engineering Division.
• Define and maintain the Engineering Division's data visualizations, guidelines, and standards.
• Ensure accuracy of Performance Indicators in the Engineering Division and all its departments.
• Drive efficiency of Engineering Division's dashboards and metrics.
• Author your team's quarterly OKRs and the project plans to deliver on them.
• Run Engineering Analytics agile process and stand-up.
• Plan Engineering Analytics's long-term tasks and align with Quality Department's direction and vision.
• Hire and grow a team of Engineering Analysts.
• Provide guidance and coaching to Engineering Analysts.
• Collaborate closely with GitLab’s Data team.

What you can expect as a Director role:

The Above Plus

• Align the day-to-day execution of the Engineering Analytics team to the top objectives of the company. You'll be responsible for making sure our top objectives are well communicated to the entire Engineering Analytics team.
• Collaborate closely with director peers across the Engineering Division. You'll sponsor healthy conflict amongst the team to resolve issues quickly, escalating only when all options are exhausted.
• Define roles, grow, and hire your teams for what is needed from the business in the next 3-4 years.
• Coach the Engineering Analytics team to work within our communication guideline and lead by example.

Projects you might work:

You will lead Engineering Metrics efforts and a team of Analysts that delivers key actionable insights into our business bottomline.

You'll be focused on providing metrics that show a story for our Engineering Division to act upon. You'll also narrow our performance indicators to focus on the most important metrics that coincide with the major themes of each of our Departments.

You'll collaborate with cross functional stable counterparts to develop more granular analyses that give deeper insights into the performance of our Engineering Departments and a deeper view into how each Engineering product group teams are executing .

You Should Apply If You

• Are self-motivated and self-managing, with strong organizational skills.
• Share our values, and work in accordance with those values.
• Bring a track record of using quantitative analysis to generate insights, and drive better organizational decision making.
• Demonstrate a track record of solving scaling challenges and high growth optimizations with a positive impact on a business.
• Bring significant professional experience with hands-on SQL and relational databases.
• Bring some experience in a leadership position managing an analytics team.
• Have experience with Data Visualization Tools (E.g. Sisense, Looker, Tableau).
• Have experience with Data warehouses (e.g. Snowflake).
• Are a clear and concise communicator, able to convey complex business logic, and analytical recommendations to stakeholders.
• Bring proficiency in the English language, with excellent written and oral communication skills.
• Working knowledge of Git and source control.
• Bring an ability to thrive in a fully remote organization.
• Will be able to use GitLab in the future.
• Our values of collaboration, results, efficiency, diversity, iteration, and transparency resonate with you.
• You'll thrive in an environment where self-learning and self-service are encouraged and instilled as a part of our culture.