Revenue Analytics Manager
New
G
GitLabDevSecOps, Software
Remote, Canada; Remote, US, all-remote, asynchronous environment, collaborating across time zonesFull-TimeManager
Salary$126,400 — $213,600 USD
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Job Details
- Required Skills
- PythonSQLBusiness IntelligenceSnowflakeTableaudbt
Requirements
- Background working in sales analytics, with hands-on experience interpreting key sales metrics such as pipeline health, quota attainment, and forecast accuracy.
- Proficiency with AI and business intelligence tools, with direct experience using Tableau or a similar BI platform.
- Practical skills in querying and transforming data using SQL and Python.
- Comfort working with modern data warehouses and analytics environments.
- Experience with Analytic Engineering and the ability to determine when a solution should be a view, a table, or a custom query to meet long term objectives.
- 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 new business development, pre-sales, marketing, or small and mid-market sales processes.
- Exposure to tools and concepts such as dbt, Snowflake, or comparable technologies.
- Clear, structured communication skills in an all-remote, asynchronous environment, including documenting work.
- Openness to learning GitLab’s product, data model, and ways of working.
Responsibilities
- Lead end-to-end first order and new business analytics work, from defining questions with stakeholders to building datasets, analysis, and clear recommendations that inform sales decisions.
- Determine which legacy Tableau dashboards need to be maintained, which need to be updated to new reporting standards, and which can be migrated to AI-based solutions.
- Drive deep analysis of first order pipeline, new business 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.
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