Tech Stack
Tag name is followed by "@" symbol and proficiency level value.
About proficiency levels:
- 1-2 — basic awareness. Minimal hands-on experience, and a rudimentary understanding of the technology's purpose;
- 3-6 — daily use. Comfortable and regular usage, capable of handling common tasks and challenges related to the technology;
- 7-9 — you are an expert, you can teach others, you know all the pitfalls and tricks;
- 10 — exceptional knowledge, comprehensive understanding, and adeptness in all aspects of the technology, including advanced problem-solving. Think twice before claiming or demanding such level.
AI @ 6
BI @ 6
Communication @ 6
Data Structures @ 4
Go @ 4
Google Sheets
Marketing @ 4
Python @ 4
Reporting @ 4
SQL @ 4
Snowflake @ 4
Tableau @ 6
dbt @ 4
- 1-2 — basic awareness. Minimal hands-on experience, and a rudimentary understanding of the technology's purpose;
- 3-6 — daily use. Comfortable and regular usage, capable of handling common tasks and challenges related to the technology;
- 7-9 — you are an expert, you can teach others, you know all the pitfalls and tricks;
- 10 — exceptional knowledge, comprehensive understanding, and adeptness in all aspects of the technology, including advanced problem-solving. Think twice before claiming or demanding such level.
Details
As a Revenue Analytics Manager, you will turn complex sales and go-to-market data into insights, analytical tools, and recommendations that help leaders make better decisions. You will work with first-order, SMB, sales development, and core sales performance metrics, owning projects from stakeholder discovery through analysis and delivery.
The role primarily uses Claude, dbt, Snowflake, SQL, and Python. Deliverables may include scalable data models, verified queries, agentic workflows, dashboards, reporting, or ad hoc analysis via Google Sheets. You will collaborate with Pipeline, Sales Strategy, Customer Success, Sales, Field Operations/RevOps, and Finance teams in an all-remote, asynchronous environment.
Responsibilities
- Lead end-to-end first-order and new-business analytics projects, including defining questions, building datasets, conducting analysis, and developing recommendations.
- Evaluate legacy Tableau dashboards to determine which should be maintained, updated, or migrated to AI-based solutions.
- Analyze first-order pipeline, new-business attainment, quota performance, forecast accuracy, and other sales metrics using SQL and Python.
- Translate business needs into scalable analytical solutions and tools.
- Own the quality, structure, and usability of sales data across Snowflake, dbt models, and other relevant data sources.
- Manage stakeholder expectations, project timelines, priorities, trade-offs, and outcomes.
- Align sales analytics with go-to-market and customer-success metrics.
- Improve analytics processes, documentation, standards, and reusable analytical assets.
Requirements
- Experience in sales analytics and interpreting metrics such as pipeline health, quota attainment, and forecast accuracy.
- Proficiency with AI and business intelligence tools, including Tableau or a similar BI platform.
- Practical experience querying and transforming data with SQL and Python.
- Experience with analytics engineering and selecting appropriate solutions such as views, tables, or custom queries.
- Project and stakeholder management skills, with the ability to translate business questions into analytical plans and communicate findings to non-technical partners.
- Experience supporting sales or go-to-market teams, including exposure to new-business development, pre-sales, marketing, or small and mid-market sales processes.
- Exposure to dbt, Snowflake, or comparable technologies, and understanding of data structures that support scalable reporting.
- Clear, structured communication skills for asynchronous collaboration across time zones.
- Willingness to learn GitLab’s products, data model, and working practices.
Benefits
- Benefits supporting health, finances, and well-being.
- Flexible paid time off.
- Team Member Resource Groups.
- Equity compensation and Employee Stock Purchase Plan.
- Growth and Development Fund.
- Parental leave.
GitLab is an equal opportunity workplace and supports reasonable accommodations during the recruiting process.