Senior Analytics Engineer

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An overview of this role

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.

What You’ll Do  

• Serve as the Directly Responsible Individual for major sections of the Enterprise Dimensional Model
• Design, develop, and extend dbt code to extend the Enterprise Dimensional Model
• Approve data model changes as a Data Team Reviewer and code owner for specific database and data model schemas
• Provide data modeling expertise to all GitLab teams through code reviews, pairing, and training to help deliver optimal, DRY, and scalable database designs and queries in Snowflake and in Periscope.
• Own one or more stakeholder relationship in Go To Market, Research & Development, or General & Administrative business functions
• Serve as Data Model subject matter expert and data model spokesperson, demonstrated by the ability to address questions quickly and accurately
• Advocate for the Data Quality Program and Trusted Data to help ensure all data is profiled, reviewed, and accurate to support critical decisions
• Guide Work Breakdown Sessions
• Organize and Plan quarter-long development initiatives per the Data Team Planning Drumbeat

What You’ll Bring 

• 6+ years in the Data space as an analyst, engineer, scientist, or equivalent
• 2+ years managing the same data model system over time, evolving the model to meet new business requirements
• Demonstrated experience leading 4 or more analytics projects from beginning to operationalization
• Demonstrated experience designing and socializing Entity Relationship Diagrams and reference SQL scripts to scale data acumen and adoption
• Experience working with multiple commercial data warehouses, ETL tools, and data visualization tools
• Extensive experience in 2 or more major data subject areas (marketing, sales, finance, product, people, etc.)
• Ability to use GitLab
• Ability to thrive in a fully remote organization
• Positive and solution-oriented mindset
• Comfort working in a highly agile, intensely iterative environment
• Self-motivated and self-managing, with task organizational skills
• Great communication: Regularly achieve consensus amongst technical and business teams
• Demonstrated capacity to clearly and concisely communicate complex business activities, technical requirements, and recommendations
• Demonstrated experience with one or more of the following business subject areas: marketing, finance, sales, product, customer success, customer support, engineering, or people

How GitLab will support you

• Benefits to support your health, finances, and well-being
• All remote, asynchronous work environment
• Flexible Paid Time Off
• Team Me