Data Analyst - Customer Intelligence
An overview of this role
As a Data Analyst, Customer Intelligence, you'll own the end-to-end development of customer-focused data products that help GitLab teams understand and improve the customer journey. You'll translate business questions from Go-To-Market and Product partners into clear requirements. You'll explore product usage and feedback data and turn findings into dashboards, reports, and recommendations that support better decisions across Sales, Marketing, Customer Success, Finance, and Product. Working within the Enterprise Data team, you'll collaborate closely with Data Engineers, Analytics Engineers, and Data Scientists. You'll experiment with GenAI tooling to increase speed to insight. You'll also advocate for data quality, security, and performance as you shape the long-term analytics strategy around our customers and their lifecycle.
What you’ll do
Collaborate with Go-To-Market, Product, and Enterprise Data teammates to translate business questions about the customer journey and product usage into clear analytical requirements.
Design and build dashboards and reports that serve as a single source of truth and provide trusted visibility into customer lifecycle, behavior, and feedback.
Explore and analyze data from sources such as GitLab.com, Salesforce, Zuora, Zendesk, Marketo, NetSuite, and Snowplow to uncover trends, risks, and opportunities for growth or improvement.
Craft well-structured, maintainable visualizations in Tableau that follow internal standards and support decision-making at scale.
Partner with Data Engineering and Analytics Engineering to define requirements for customer and product data models, shaping how data is collected, structured, and exposed.
Experiment with generative AI tooling alongside the Data Platform team to enable conversational access to data products and reduce time to insight for stakeholders.
Advocate for and contribute to improvements in data quality, security, and performance across the analytics lifecycle.
Serve as a subject matter expert in data visualization and analysis by providing code reviews, pairing, and training to help other analysts deliver high-quality insights.
What you’ll bring
Experience in analytics roles focused on SaaS products, including analyzing product usage, customer journeys, and lifecycle stages.
Background combining data from multiple business systems (for example, marketing automation, product analytics, ERP, CRM) to create a unified view of the customer.
Proficiency writing complex SQL queries with joins, aggregations, common table expressions, and conditional logic.
Skill in designing and building business intelligence dashboards (such as in Tableau) that are maintainable, scalable, and aligned to stakeholder needs.
Ability to translate complex business questions into clear analytical approaches, and to communicate findings and recommendations in a concise, accessible way.
Experience collaborating with cross-functional partners such as Customer Success, Product, Marketing, Sales, and Finance in a remote, distributed environment.
Attention to data quality, security, and performance, with a habit of documenting logic and edge cases clearly.
Openness to experimenting with new tools, including generative AI, and to applying transferable skills from related analytics or data roles.
About the team
The Enterprise Data team partners with every department at GitLab to build and maintain trusted, scalable data products that inform strategic decisions across the business. As part of this team, the Customer Intelligence focus works closely with Data Engineers, Analytics Engineers, Data Scientists, and functional partners in Sales, Marketing, Finance, Customer Success, and Product to turn product usage and customer lifecycle data into actionable insights and self-serve dashboards. The team is fully remote and collaborates asynchronously across time zones, using shared standards, code reviews, and documentation to ensure consistency and quality. Current priorities include experimenting with GenAI-powered analytics experiences in partnership with the Data Platform team. For more on how this team works, see the Data Team Handbook Page.
The base salary range for this role’s listed level is currently for residents of the United States only. This range is intended to reflect the role's base salary rate in locations throughout the US. Grade level and salary ranges are determined through interviews and a review of education, experience, knowledge, skills, abilities of the applicant, equity with other team members, alignment with market data, and geographic location. The base salary range does not include any bonuses, equity, or benefits. See more information on our benefits and equity. Sales roles are also eligible for incentive pay targeted at up to 100% of the offered base salary.
United States Salary Range
$78,400—$168,000 USD
About the job
Apply for this position
Data Analyst - Customer Intelligence
An overview of this role
As a Data Analyst, Customer Intelligence, you'll own the end-to-end development of customer-focused data products that help GitLab teams understand and improve the customer journey. You'll translate business questions from Go-To-Market and Product partners into clear requirements. You'll explore product usage and feedback data and turn findings into dashboards, reports, and recommendations that support better decisions across Sales, Marketing, Customer Success, Finance, and Product. Working within the Enterprise Data team, you'll collaborate closely with Data Engineers, Analytics Engineers, and Data Scientists. You'll experiment with GenAI tooling to increase speed to insight. You'll also advocate for data quality, security, and performance as you shape the long-term analytics strategy around our customers and their lifecycle.
What you’ll do
Collaborate with Go-To-Market, Product, and Enterprise Data teammates to translate business questions about the customer journey and product usage into clear analytical requirements.
Design and build dashboards and reports that serve as a single source of truth and provide trusted visibility into customer lifecycle, behavior, and feedback.
Explore and analyze data from sources such as GitLab.com, Salesforce, Zuora, Zendesk, Marketo, NetSuite, and Snowplow to uncover trends, risks, and opportunities for growth or improvement.
Craft well-structured, maintainable visualizations in Tableau that follow internal standards and support decision-making at scale.
Partner with Data Engineering and Analytics Engineering to define requirements for customer and product data models, shaping how data is collected, structured, and exposed.
Experiment with generative AI tooling alongside the Data Platform team to enable conversational access to data products and reduce time to insight for stakeholders.
Advocate for and contribute to improvements in data quality, security, and performance across the analytics lifecycle.
Serve as a subject matter expert in data visualization and analysis by providing code reviews, pairing, and training to help other analysts deliver high-quality insights.
What you’ll bring
Experience in analytics roles focused on SaaS products, including analyzing product usage, customer journeys, and lifecycle stages.
Background combining data from multiple business systems (for example, marketing automation, product analytics, ERP, CRM) to create a unified view of the customer.
Proficiency writing complex SQL queries with joins, aggregations, common table expressions, and conditional logic.
Skill in designing and building business intelligence dashboards (such as in Tableau) that are maintainable, scalable, and aligned to stakeholder needs.
Ability to translate complex business questions into clear analytical approaches, and to communicate findings and recommendations in a concise, accessible way.
Experience collaborating with cross-functional partners such as Customer Success, Product, Marketing, Sales, and Finance in a remote, distributed environment.
Attention to data quality, security, and performance, with a habit of documenting logic and edge cases clearly.
Openness to experimenting with new tools, including generative AI, and to applying transferable skills from related analytics or data roles.
About the team
The Enterprise Data team partners with every department at GitLab to build and maintain trusted, scalable data products that inform strategic decisions across the business. As part of this team, the Customer Intelligence focus works closely with Data Engineers, Analytics Engineers, Data Scientists, and functional partners in Sales, Marketing, Finance, Customer Success, and Product to turn product usage and customer lifecycle data into actionable insights and self-serve dashboards. The team is fully remote and collaborates asynchronously across time zones, using shared standards, code reviews, and documentation to ensure consistency and quality. Current priorities include experimenting with GenAI-powered analytics experiences in partnership with the Data Platform team. For more on how this team works, see the Data Team Handbook Page.
The base salary range for this role’s listed level is currently for residents of the United States only. This range is intended to reflect the role's base salary rate in locations throughout the US. Grade level and salary ranges are determined through interviews and a review of education, experience, knowledge, skills, abilities of the applicant, equity with other team members, alignment with market data, and geographic location. The base salary range does not include any bonuses, equity, or benefits. See more information on our benefits and equity. Sales roles are also eligible for incentive pay targeted at up to 100% of the offered base salary.
United States Salary Range
$78,400—$168,000 USD