Sales Analytics Manager

GitLab

8d•Remote

About The Position

As 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.

Requirements

Background 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.
Clear, structured communication skills in an all-remote, asynchronous environment, including documenting work and collaborating across time zones.
Openness to learning GitLab’s product, data model, and ways of working, with transferable experience from sales, revenue, or field operations analytics roles.

Nice To Haves

Exposure to tools and concepts such as dbt, Snowflake, or comparable technologies, and an understanding of data structures that support scalable reporting.

Responsibilities

Lead 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.