Sales Analytics Manager

Job Description

GitLab is an open-core software company that develops the most comprehensive AI-powered DevSecOps Platform, used by more than 100,000 organizations. Our mission is to enable everyone to contribute to and co-create the software that powers our world. When everyone can contribute, consumers become contributors, significantly accelerating human progress.

Our platform unites teams and organizations, breaking down barriers and redefining what’s possible in software development. Thanks to products like Duo Enterprise and Duo Agent Platform, customers get AI benefits at every stage of the SDLC. The same principles built into our products are reflected in how our team works: we embrace AI as a core productivity multiplier, with all team members expected to incorporate AI into their daily workflows to drive efficiency, innovation, and impact. GitLab is where careers accelerate, innovation flourishes, and every voice is valued.

Our high-performance culture is driven by our values and continuous knowledge exchange, enabling our team members to reach their full potential while collaborating with industry leaders to solve complex problems. Co-create the future with us as we build technology that transforms how the world develops software.

An overview of this roleAs the Sales Analytics Manager, you’ll be the go-to individual contributor for turning complex sales and go-to-market data into clear insights and tools that help leaders make better decisions. You’ll work with pipeline, quota, and core sales performance metrics to build analytics, dashboards, and reporting that Field Operations stakeholders can rely on. You’ll own projects end to end: partnering with stakeholders to understand questions, managing projects, running the analysis, and translating results into recommendations that drive tangible impact.

You’ll work primarily with Tableau, SQL, and Python. You’ll also engage with modern data stack components like data warehouse and modeling tools such as Snowflake and dbt, and you’ll collaborate closely with adjacent functions such as Customer Success analytics. Over your first year, you’ll focus on establishing a strong analytics foundation for sales, delivering quick-win insights and scalable reporting, and becoming a trusted partner to leaders across the go-to-market organization.

What you’ll doLead end-to-end sales analytics work, from defining questions with stakeholders to building datasets, analysis, and clear recommendations that inform sales decisions. Develop and maintain reporting and dashboards in Tableau and other reporting tools that surface pipeline, quota, and core sales performance metrics to sales and leadership teams.

Drive deep analysis of sales pipeline, quota attainment, and other sales metrics using SQL and Python to uncover trends, risks, and opportunities. Collaborate closely with Sales, Field Operations / RevOps, Finance, and Customer Success partners to translate business needs into scalable analytical solutions and tools. Own the quality, structure, and usability of sales data in partnership with central data teams, ensuring consistency across Snowflake, dbt models, and other data sources where relevant.

Manage stakeholder expectations and project timelines, prioritizing requests and communicating trade-offs and outcomes in a clear, structured way. Partner with Customer Success and broader go-to-market teams to align sales analytics with go-to-market and customer success metrics where needed. Contribute to improving analytics processes, documentation, and standards so the team can work more efficiently and reuse high-impact analytical assets.

What you’ll bringBackground working in sales analytics, including hands-on experience with pipeline, quota, and core sales performance metrics. Proficiency with business intelligence tools, with direct experience using Tableau or a similar BI platform and the ability to adapt to GitLab’s tooling. Practical skills in querying and transforming data using SQL and Python, and comfort working with modern data warehouses and analytics environments.

Ability to manage projects and stakeholders, translating business questions into analytical plans and communicating findings to non-technical partners. Experience supporting sales or go-to-market teams, with familiarity in areas such as customer success, pre-sales, post-sales, or partner / channel motions. Exposure to tools and concepts such as dbt, Snowflake, or comparable technologies, and an understanding of data structures that support scalable reporting.

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