Senior Revenue Analytics Analyst at GitLab (Canada, United States)

GitLab

2 weeks ago

Senior Revenue Analytics Analyst

✓ Verified Job

Canonical indexed version, validated from employer's careers page.

Source: Company careers pageValidated by: Fursa AI

Last checked: 1 hour agoStatus: Live

Job Summary

Use revenue and go-to-market data to improve pre-sales engagement, trials-to-consumption, and partner-influenced deal outcomes. Translate partner questions into analytical requirements, design AI and BI solutions for trial management, win rates, adoption, conversion, and sales efficiency, and build analytics foundations for scalable one-to-many engagements. Collaborate across Revenue Analytics, Sales, RevOps, Finance, and Customer Success to strengthen data models, champion data quality, and drive insights using SQL, Python, Snowflake, dbt, and Tableau.

Location: Canada, United States

Workplace: Remote

Employment Type: Full time

Job Function: Data Analytics & Business Intelligence

Seniority: Mid level

Key Responsibilities

•Partner with Solution Architect, Sales Strategy, Ecosystem, and other Go-To-Market stakeholders to translate questions about pre-sales engagement, consumption, pipeline, and sales efficiency into analytical requirements.
•Design and build AI and analytics solutions for trial management, win rates, adoption, conversion, and overall sales metrics.
•Create well-structured, maintainable BI and AI tools that let customer-facing teams monitor performance and take action.
•Define engagement data model and stakeholder requirements with operational and data teams, shaping how data is collected, structured, and made available.
•Use segmentation, cohort analysis, and experimentation (including A/B testing) to inform scaled engagement strategies and forecast digital program impact.

Pay and Benefits

Salary: USD 115,200 - 194,400 annually

Equity and Bonus:Equity

Perks:Paid LeaveParental LeaveEquity

Key Requirements

•Experience in analytics roles focused on pre-sales motions and SaaS, including analyzing customer engagement, adoption, and health across the customer lifecycle.
•Proficiency writing complex SQL queries (joins, aggregations, common table expressions, conditional logic) for reporting and deep analysis.
•Ability to drive analysis of pipeline, pre-sales engagements, trial success rates, and sales metrics using SQL and Python to identify trends, risks, and opportunities.
•Experience combining data from multiple customer and go-to-market systems to create unified views of pre-sales and partner engagements and outcomes.
•Collaboration experience across functions (Sales, Field Operations/RevOps, Finance, Customer Success) and remote, distributed teams, translating business needs into scalable analytical solutions.

Experience:SaaSSales analyticsPre-sales analytics

Skills:CommunicationCross-functional collaborationProblem-solvingData quality focusDocumentation

Languages:English

Tech Stack:SQLPythonTableauSnowflakeDbtAIGenerative AI

Company Brief

GitLab

Provides a single application for the complete DevSecOps lifecycle, offering source code management, CI/CD, security, and collaboration tools to help teams deliver software faster and more securely.

Industry: Developer Tools

Company Size: Enterprise (1,001+ employees)

Revenue: USD 250M to 500M

Growth: Public Company

Valuation: Public Company (Market Cap in USD)

Funding: IPO / Publicly Listed

Headquarters: San Francisco, United States

Founded: 2011

Website LinkedIn

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GitLab

2 weeks ago

Senior Revenue Analytics Analyst

✓ Verified Job

Canonical indexed version, validated from employer's careers page.

Source: Company careers pageValidated by: Fursa AI

Last checked: 1 hour agoStatus: Live

Job Summary

Location: Canada, United States

Workplace: Remote

Employment Type: Full time

Job Function: Data Analytics & Business Intelligence

Seniority: Mid level

Key Responsibilities

•Partner with Solution Architect, Sales Strategy, Ecosystem, and other Go-To-Market stakeholders to translate questions about pre-sales engagement, consumption, pipeline, and sales efficiency into analytical requirements.
•Design and build AI and analytics solutions for trial management, win rates, adoption, conversion, and overall sales metrics.
•Create well-structured, maintainable BI and AI tools that let customer-facing teams monitor performance and take action.
•Define engagement data model and stakeholder requirements with operational and data teams, shaping how data is collected, structured, and made available.
•Use segmentation, cohort analysis, and experimentation (including A/B testing) to inform scaled engagement strategies and forecast digital program impact.

Pay and Benefits

Salary: USD 115,200 - 194,400 annually

Equity and Bonus:Equity

Perks:Paid LeaveParental LeaveEquity

Key Requirements

•Experience in analytics roles focused on pre-sales motions and SaaS, including analyzing customer engagement, adoption, and health across the customer lifecycle.
•Proficiency writing complex SQL queries (joins, aggregations, common table expressions, conditional logic) for reporting and deep analysis.
•Ability to drive analysis of pipeline, pre-sales engagements, trial success rates, and sales metrics using SQL and Python to identify trends, risks, and opportunities.
•Experience combining data from multiple customer and go-to-market systems to create unified views of pre-sales and partner engagements and outcomes.
•Collaboration experience across functions (Sales, Field Operations/RevOps, Finance, Customer Success) and remote, distributed teams, translating business needs into scalable analytical solutions.

Experience:SaaSSales analyticsPre-sales analytics

Skills:CommunicationCross-functional collaborationProblem-solvingData quality focusDocumentation

Languages:English

Tech Stack:SQLPythonTableauSnowflakeDbtAIGenerative AI

Company Brief

GitLab

Provides a single application for the complete DevSecOps lifecycle, offering source code management, CI/CD, security, and collaboration tools to help teams deliver software faster and more securely.

Industry: Developer Tools

Company Size: Enterprise (1,001+ employees)

Revenue: USD 250M to 500M

Growth: Public Company

Valuation: Public Company (Market Cap in USD)

Funding: IPO / Publicly Listed

Headquarters: San Francisco, United States

Founded: 2011

Website LinkedIn