Senior Revenue Analytics Analyst

GitLab

Confirmed live 2 days ago High trust
Remote

Quick summary

Work type
Remote
Location
Canada
Salary
$115,200–$194,400 / yr
Posted
60 days ago
Freshness
Confirmed live 2 days ago

Market check

Salary context

Competitive pay

How this pay compares to similar roles

Similar $149k
This role $155k
$106k most similar roles pay here $204k

This role pays more than 60% of similar roles. Most pay $120,500–$177,900 — the shaded band above. At the midpoint, this role pays about $155k versus about $149k for comparable roles.

Based on 240 similar postings.

Employer

About GitLab

GitLab is an all-remote software company that develops an AI-powered DevSecOps platform combining source code management, CI/CD, security scanning, and project planning in a single application.

GitLab currently has 79 open roles on FindRole.

Listed pay typically runs $137,400–$213,600 across 61 roles with salary data.

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View all roles at GitLab

At a glance

TL;DR · Senior Revenue Analytics Analyst

As a Senior Revenue Analytics Analyst, you will join the Revenue Analytics team to transform sales and go-to-market data into actionable insights for leadership and frontline teams. You will partner with Solution Architect, Sales Strategy, and Ecosystem teams to translate complex questions regarding pre-sales motions, trial management, and partner influence into clear analytical requirements. Your daily work involves building and maintaining analytics foundations, designing AI tools, and performing segmentation, cohort analysis, and A/B testing to inform scaled engagement strategies. You will manage data quality and consistency across the tech stack while providing guidance on sales metrics like win rates and adoption. To succeed, you must be proficient in SQL and Python, with experience using Snowflake and dbt models. This role solves critical business problems regarding pipeline health, conversion, and customer success within a SaaS environment.

What you'll do

  • Translate complex business questions from sales and partner teams into clear analytical requirements.
  • Design and build AI-powered tools and analytics to track trial management, win rates, and adoption metrics.
  • Develop maintainable solutions in business intelligence and AI tools that follow internal standards for performance monitoring.
  • Partner with data teams to define requirements for engagement data models and ensure high data quality.
  • Use segmentation, cohort analysis, and A/B testing to inform scaled engagement strategies and forecast program impacts.
  • Serve as a subject matter expert by documenting methodologies and providing guidance on sales analytics best practices.
  • Analyze pipeline, trial success rates, and other key metrics using SQL and Python to identify trends and risks.

What we're looking for

  • Experience in analytics roles focused on pre-sales motions and SaaS, including customer engagement, adoption, and health analysis.
  • Ability to combine data from multiple systems to create a unified view of pre-sales and partner engagements.
  • Proficiency writing complex SQL queries using joins, aggregations, common table expressions, and conditional logic.
  • Experience using Python and SQL to analyze pipeline, trial success rates, and other sales metrics.
  • Proven ability to translate complex business questions into clear analytical requirements for technical and non-technical audiences.
  • Ability to collaborate with cross-functional teams in a remote, distributed environment.
  • Experience ensuring data quality and consistency across platforms like Snowflake and dbt models.
  • Openness to experimenting with new tools, including generative AI and experimentation techniques.

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