Senior Customer Success Analytics Analyst
GitLab
Senior Customer Success Analytics Analyst
Job Description
About this Role
Join GitLab as a Senior Customer Success Analytics Analyst and empower teams to unlock the full potential of customer success through data-driven insights.
Dive into the heart of an open-core software company revolutionizing the DevSecOps landscape with its AI-powered platform.
Our mission is to enable everyone to contribute to and co-create the software powering our world, accelerating human progress.
Partner with global Customer Success and Digital CS teams to transform complex questions into actionable analytics.
Craft dashboards and reports that illuminate customer engagement, adoption, and satisfaction across the lifecycle.
Collaborate cross-functionally to build robust analytics foundations fueling one-to-many engagements and automation.
Experiment boldly with cutting-edge tools, including generative AI, to accelerate insights and innovation.
Thrive in a high-performance culture where every voice matters, values drive decisions, and careers soar.
Advocate for impeccable data quality while shaping how we measure and enhance customer health and outcomes.
Co-create the future in an environment where AI multiplies productivity and collaboration redefines possibilities.
Locations
- Canada, Remote, US (Remote)
Salary
Salary details available upon request
105,000 - 165,000 USD / yearly
Source: ai estimated
* This is an estimated range based on market data and may vary based on experience and qualifications.
Skills Required
- SQL (complex queries, joins, aggregations, CTEs)intermediate
- Business Intelligence tools (Tableau, Looker, Power BI)intermediate
- Customer success platforms (e.g., Gainsight)intermediate
- CRM (Salesforce)intermediate
- Marketing automation toolsintermediate
- Product analyticsintermediate
- Web analyticsintermediate
- Data modeling and visualizationintermediate
- Generative AI toolsintermediate
- Dashboard design and KPI trackingintermediate
Required Qualifications
- Experience in analytics roles focused on customer success and SaaS (experience)
- Analyzing customer engagement, adoption, and health across the customer lifecycle (experience)
- Background combining data from multiple customer and go-to-market systems (experience)
- Proficiency writing complex SQL queries with joins, aggregations, CTEs, and conditional logic (experience)
- Skill in designing and building BI dashboards in tools like Tableau, Looker, or Power BI (experience)
- Ability to translate complex customer success questions into clear analytical approaches (experience)
- Communicating findings concisely to technical and non-technical audiences (experience)
- Experience collaborating with cross-functional partners in Customer Success, Strategy, Marketing, Product, and Sales (experience)
- Attention to data quality, consistency, and performance with clear documentation (experience)
- Openness to experimenting with new tools including generative AI (experience)
Preferred Qualifications
- Advanced experience with customer success platforms like Gainsight (experience)
- Deep knowledge of product analytics and CRM systems like Salesforce (experience)
- Expertise in marketing automation tools (experience)
- Experience with web and product analytics data sources (experience)
- Familiarity with GitLab University or similar training platforms (experience)
- Background in Revenue Strategy & Operations (experience)
- Skills in experimentation techniques for analytics (experience)
- Experience shaping customer success data models (experience)
- Proven track record in one-to-many customer engagements (experience)
- Ability to mentor junior analysts in best practices (experience)
Responsibilities
- Partner with Digital CS, Strategy, Marketing, Product, and GTM teams to define analytical requirements
- Design and build dashboards and reports for case management, engagement, adoption, and satisfaction metrics
- Explore data from customer success platforms, GitLab University, Salesforce, and analytics tools
- Craft maintainable visualizations following internal standards for performance monitoring
- Collaborate with data teams to define requirements for customer success data models
- Analyze one-to-many engagements including webinars, workshops, emails, and in-app messaging
- Uncover trends, risks, and opportunities to improve customer outcomes
- Serve as SME in customer success analytics, sharing best practices and documentation
- Advocate for data quality, consistency, and clear metric definitions
- Experiment with analytics and CS tooling to increase speed to insight
Benefits
- general: Competitive base salary with incentive pay eligibility
- general: Equity compensation and Employee Stock Purchase Plan
- general: Comprehensive health, finances, and well-being benefits
- general: Flexible Paid Time Off
- general: Team Member Resource Groups for inclusion and belonging
- general: Growth and Development Fund for professional advancement
- general: Generous parental leave
- general: Home office support and equipment
- general: Continuous learning through knowledge exchange
- general: High-performance culture with career acceleration opportunities
Tags & Categories
Answer 10 quick questions to check your fit for Senior Customer Success Analytics Analyst @ GitLab.
Related Books and Jobs
Senior Customer Success Analytics Analyst
GitLab
Senior Customer Success Analytics Analyst
Job Description
About this Role
Join GitLab as a Senior Customer Success Analytics Analyst and empower teams to unlock the full potential of customer success through data-driven insights.
Dive into the heart of an open-core software company revolutionizing the DevSecOps landscape with its AI-powered platform.
Our mission is to enable everyone to contribute to and co-create the software powering our world, accelerating human progress.
Partner with global Customer Success and Digital CS teams to transform complex questions into actionable analytics.
Craft dashboards and reports that illuminate customer engagement, adoption, and satisfaction across the lifecycle.
Collaborate cross-functionally to build robust analytics foundations fueling one-to-many engagements and automation.
Experiment boldly with cutting-edge tools, including generative AI, to accelerate insights and innovation.
Thrive in a high-performance culture where every voice matters, values drive decisions, and careers soar.
Advocate for impeccable data quality while shaping how we measure and enhance customer health and outcomes.
Co-create the future in an environment where AI multiplies productivity and collaboration redefines possibilities.
Locations
- Canada, Remote, US (Remote)
Salary
Salary details available upon request
105,000 - 165,000 USD / yearly
Source: ai estimated
* This is an estimated range based on market data and may vary based on experience and qualifications.
Skills Required
- SQL (complex queries, joins, aggregations, CTEs)intermediate
- Business Intelligence tools (Tableau, Looker, Power BI)intermediate
- Customer success platforms (e.g., Gainsight)intermediate
- CRM (Salesforce)intermediate
- Marketing automation toolsintermediate
- Product analyticsintermediate
- Web analyticsintermediate
- Data modeling and visualizationintermediate
- Generative AI toolsintermediate
- Dashboard design and KPI trackingintermediate
Required Qualifications
- Experience in analytics roles focused on customer success and SaaS (experience)
- Analyzing customer engagement, adoption, and health across the customer lifecycle (experience)
- Background combining data from multiple customer and go-to-market systems (experience)
- Proficiency writing complex SQL queries with joins, aggregations, CTEs, and conditional logic (experience)
- Skill in designing and building BI dashboards in tools like Tableau, Looker, or Power BI (experience)
- Ability to translate complex customer success questions into clear analytical approaches (experience)
- Communicating findings concisely to technical and non-technical audiences (experience)
- Experience collaborating with cross-functional partners in Customer Success, Strategy, Marketing, Product, and Sales (experience)
- Attention to data quality, consistency, and performance with clear documentation (experience)
- Openness to experimenting with new tools including generative AI (experience)
Preferred Qualifications
- Advanced experience with customer success platforms like Gainsight (experience)
- Deep knowledge of product analytics and CRM systems like Salesforce (experience)
- Expertise in marketing automation tools (experience)
- Experience with web and product analytics data sources (experience)
- Familiarity with GitLab University or similar training platforms (experience)
- Background in Revenue Strategy & Operations (experience)
- Skills in experimentation techniques for analytics (experience)
- Experience shaping customer success data models (experience)
- Proven track record in one-to-many customer engagements (experience)
- Ability to mentor junior analysts in best practices (experience)
Responsibilities
- Partner with Digital CS, Strategy, Marketing, Product, and GTM teams to define analytical requirements
- Design and build dashboards and reports for case management, engagement, adoption, and satisfaction metrics
- Explore data from customer success platforms, GitLab University, Salesforce, and analytics tools
- Craft maintainable visualizations following internal standards for performance monitoring
- Collaborate with data teams to define requirements for customer success data models
- Analyze one-to-many engagements including webinars, workshops, emails, and in-app messaging
- Uncover trends, risks, and opportunities to improve customer outcomes
- Serve as SME in customer success analytics, sharing best practices and documentation
- Advocate for data quality, consistency, and clear metric definitions
- Experiment with analytics and CS tooling to increase speed to insight
Benefits
- general: Competitive base salary with incentive pay eligibility
- general: Equity compensation and Employee Stock Purchase Plan
- general: Comprehensive health, finances, and well-being benefits
- general: Flexible Paid Time Off
- general: Team Member Resource Groups for inclusion and belonging
- general: Growth and Development Fund for professional advancement
- general: Generous parental leave
- general: Home office support and equipment
- general: Continuous learning through knowledge exchange
- general: High-performance culture with career acceleration opportunities
Tags & Categories
Answer 10 quick questions to check your fit for Senior Customer Success Analytics Analyst @ GitLab.
Related Books and Jobs