Senior Manager

<h3>📋 Description</h3> • The Senior Manager, Analytics Engineering (R&D) sits at the intersection of Business Strategy, Analytics Engineering, and Data Engineering and is responsible for leading a team that brings robust, efficient, and integrated data products to life. • The Senior Manager, Analytics Engineering (R&D) speaks the language of business teams and technical teams, able to translate data insights and analysis needs into data models powered by the Enterprise Data Platform. • The successful Senior Manager, Analytics Engineering (R&D) is able to blend business acumen with technical expertise and transition between business strategy and data development. • In this role, the incumbent will have an opportunity to drive impact on a large scale by leading a team that delivers trusted data that is used by Senior Leadership to power Customer Product Adoption at GitLab. • Manage, lead, and develop a high-performance Analytics Engineering team specializing in Product Usage data, including day-to-day assignments, bi-weekly milestone planning, 1-1s, quarterly objectives, and annual reviews. • Lead the development of sophisticated data models that transform complex event-level usage data from our product into actionable business insights. • Player/Coach that can both lead a team of expert data modelers and make hands-on contributions to our most challenging Product Usage data transformations and modeling initiatives. • Understand the big picture of product adoption and user behavior, demonstrating how your teams Product Usage data models support strategic decision-making through prioritization, planning, and advanced solutioning. • Architect and oversee the implementation of scalable data pipelines that process high-volume, real-time product usage events into reliable, performant data models. • Collaborate closely with Product, Engineering, and Business Strategy teams to translate complex usage patterns and behavioral analytics requirements into robust data model specifications. <h3>🎯 Requirements</h3> • Share our values, and work in accordance with those values • 5+ years hands on experience in a data analytics/engineering/science role • 2+ years hands on experience performing quantitative analysis to tackle business problems with a focus on feature and usage metrics to increase conversion and retention • 1+ years hands on experience creating dimensional models composed of facts and dimensions • 1+ years leading or managing a team of 3 or more data analysts/engineers/scientists • Demonstrate ability to understand and communicate end-to-end data systems: from compute to ELT to Reporting to Analysis • Exceptional experience creating and developing partnerships with internal team members towards delivery of impactful analytics solutions • Experience defining and executing project plans at the day, week, and month time spans • Demonstrably deep understanding of SQL and relational databases (we use Snowflake) • Experience working with large quantities of raw, disorganized data <h3>🏖️ Benefits</h3> • Benefits to support your health, finances, and well-being • All remote, asynchronous work environment • Flexible Paid Time Off • Team Member Resource Groups • Equity Compensation & Employee Stock Purchase Plan • Growth and Development Fund • Parental leave • Home office support