Pricing Analyst
GitLab
Pricing Analyst
Job Description
About this Role
Join GitLab, the open-core pioneer behind the most comprehensive AI-powered DevSecOps platform revolutionizing software development worldwide.
Our mission empowers everyone to contribute and co-create the software powering our world, transforming consumers into contributors for accelerated human progress.
As a Pricing Analyst, you'll shape innovative pricing, packaging, and monetization strategies for cutting-edge AI capabilities like GitLab Duo.
Dive into the heart of Product team dynamics, turning complex sales and product data into trusted models that drive business growth.
Build sophisticated dashboards with SQL, Python, R, and Tableau to deliver actionable insights on pricing performance.
Synthesize pricing research, competitive intelligence, and qualitative findings to craft recommendations that redefine value for customers.
Stand up reliable reporting frameworks in your first year, proposing monetization for AI and compute-intensive features.
Thrive in a high-performance culture where AI amplifies productivity, innovation flourishes, and every voice shapes the future.
Collaborate with industry leaders across Product, Sales, Finance, and Go-to-Market to solve intricate pricing challenges.
Accelerate your career at GitLab, where continuous knowledge exchange and our core values unlock your full potential.
Locations
- EMEA, Remote, North America (Remote)
Salary
Salary details available upon request
85,000 - 140,000 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 for data querying and analysisintermediate
- Python for pricing models and automationintermediate
- R for statistical modelingintermediate
- Tableau for dashboard creation and visualizationintermediate
- Pricing research methods (Van Westendorp, Gabor-Granger)intermediate
- Conjoint and MaxDiff analysis techniquesintermediate
- Predictive and scenario modelingintermediate
- Excel for financial and data analysisintermediate
- Data synthesis and competitive intelligenceintermediate
- Dashboard maintenance and KPI trackingintermediate
Required Qualifications
- Experience in pricing or business analytics within a SaaS environment (experience)
- Proficiency translating sales, product, and usage data into pricing insights (experience)
- Hands-on experience building dashboards (e.g., Tableau) to monitor pricing performance (experience)
- Practical knowledge of discount strategy analysis and optimization (experience)
- Experience assessing discount effectiveness and providing deal guidance (experience)
- Strong analytical skills with SQL, Python, or R for model building (experience)
- Ability to conduct pricing research including Van Westendorp and conjoint (experience)
- Cross-functional collaboration with Product, Sales, and Finance teams (experience)
- Track record of evaluating packaging and tiering strategies (experience)
- Bachelor's degree in business, economics, statistics, or related field (experience)
Preferred Qualifications
- Advanced degree in economics, statistics, or data science (experience)
- Experience with R for statistical modeling and analysis (experience)
- Familiarity with Gabor-Granger and MaxDiff research methods (experience)
- Background in AI or compute-intensive product monetization (experience)
- Prior work in DevSecOps or software platform pricing (experience)
- Skills in predictive scenario modeling for customer segments (experience)
- Knowledge of value metrics definition and adoption tracking (experience)
- Experience presenting pricing proposals to senior leadership (experience)
- Proficiency in competitive pricing intelligence synthesis (experience)
- History of driving pricing experiments and measurement frameworks (experience)
Responsibilities
- Analyze pricing and monetization performance across sales, product, and usage data
- Build and maintain Tableau dashboards tracking key pricing metrics and trends
- Develop predictive and scenario models for price, packaging, and discount impacts
- Evaluate packaging effectiveness and recommend tier and threshold refinements
- Partner with Product Management on AI and compute feature pricing metrics
- Conduct pricing research using Van Westendorp, conjoint, and MaxDiff methods
- Synthesize research findings with competitive analysis for recommendations
- Establish measurement frameworks and experiments for pricing initiatives
- Provide analytical support to Sales and Finance for deal structuring
- Communicate results and proposals to senior leadership for alignment
Benefits
- general: Competitive base salary with performance-based incentives
- general: Equity compensation and Employee Stock Purchase Plan
- general: Comprehensive benefits supporting health, finances, and well-being
- general: Flexible Paid Time Off policy
- general: Team Member Resource Groups for inclusion and belonging
- general: Growth and Development Fund for professional advancement
- general: Generous parental leave provisions
- general: Home office support and equipment allowances
- general: Learning and development opportunities with industry leaders
- general: Continuous knowledge exchange in a values-driven culture
Tags & Categories
Pricing Analyst
GitLab
Pricing Analyst
Job Description
About this Role
Join GitLab, the open-core pioneer behind the most comprehensive AI-powered DevSecOps platform revolutionizing software development worldwide.
Our mission empowers everyone to contribute and co-create the software powering our world, transforming consumers into contributors for accelerated human progress.
As a Pricing Analyst, you'll shape innovative pricing, packaging, and monetization strategies for cutting-edge AI capabilities like GitLab Duo.
Dive into the heart of Product team dynamics, turning complex sales and product data into trusted models that drive business growth.
Build sophisticated dashboards with SQL, Python, R, and Tableau to deliver actionable insights on pricing performance.
Synthesize pricing research, competitive intelligence, and qualitative findings to craft recommendations that redefine value for customers.
Stand up reliable reporting frameworks in your first year, proposing monetization for AI and compute-intensive features.
Thrive in a high-performance culture where AI amplifies productivity, innovation flourishes, and every voice shapes the future.
Collaborate with industry leaders across Product, Sales, Finance, and Go-to-Market to solve intricate pricing challenges.
Accelerate your career at GitLab, where continuous knowledge exchange and our core values unlock your full potential.
Locations
- EMEA, Remote, North America (Remote)
Salary
Salary details available upon request
85,000 - 140,000 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 for data querying and analysisintermediate
- Python for pricing models and automationintermediate
- R for statistical modelingintermediate
- Tableau for dashboard creation and visualizationintermediate
- Pricing research methods (Van Westendorp, Gabor-Granger)intermediate
- Conjoint and MaxDiff analysis techniquesintermediate
- Predictive and scenario modelingintermediate
- Excel for financial and data analysisintermediate
- Data synthesis and competitive intelligenceintermediate
- Dashboard maintenance and KPI trackingintermediate
Required Qualifications
- Experience in pricing or business analytics within a SaaS environment (experience)
- Proficiency translating sales, product, and usage data into pricing insights (experience)
- Hands-on experience building dashboards (e.g., Tableau) to monitor pricing performance (experience)
- Practical knowledge of discount strategy analysis and optimization (experience)
- Experience assessing discount effectiveness and providing deal guidance (experience)
- Strong analytical skills with SQL, Python, or R for model building (experience)
- Ability to conduct pricing research including Van Westendorp and conjoint (experience)
- Cross-functional collaboration with Product, Sales, and Finance teams (experience)
- Track record of evaluating packaging and tiering strategies (experience)
- Bachelor's degree in business, economics, statistics, or related field (experience)
Preferred Qualifications
- Advanced degree in economics, statistics, or data science (experience)
- Experience with R for statistical modeling and analysis (experience)
- Familiarity with Gabor-Granger and MaxDiff research methods (experience)
- Background in AI or compute-intensive product monetization (experience)
- Prior work in DevSecOps or software platform pricing (experience)
- Skills in predictive scenario modeling for customer segments (experience)
- Knowledge of value metrics definition and adoption tracking (experience)
- Experience presenting pricing proposals to senior leadership (experience)
- Proficiency in competitive pricing intelligence synthesis (experience)
- History of driving pricing experiments and measurement frameworks (experience)
Responsibilities
- Analyze pricing and monetization performance across sales, product, and usage data
- Build and maintain Tableau dashboards tracking key pricing metrics and trends
- Develop predictive and scenario models for price, packaging, and discount impacts
- Evaluate packaging effectiveness and recommend tier and threshold refinements
- Partner with Product Management on AI and compute feature pricing metrics
- Conduct pricing research using Van Westendorp, conjoint, and MaxDiff methods
- Synthesize research findings with competitive analysis for recommendations
- Establish measurement frameworks and experiments for pricing initiatives
- Provide analytical support to Sales and Finance for deal structuring
- Communicate results and proposals to senior leadership for alignment
Benefits
- general: Competitive base salary with performance-based incentives
- general: Equity compensation and Employee Stock Purchase Plan
- general: Comprehensive benefits supporting health, finances, and well-being
- general: Flexible Paid Time Off policy
- general: Team Member Resource Groups for inclusion and belonging
- general: Growth and Development Fund for professional advancement
- general: Generous parental leave provisions
- general: Home office support and equipment allowances
- general: Learning and development opportunities with industry leaders
- general: Continuous knowledge exchange in a values-driven culture
Tags & Categories