Marketing Roles

The Analytics and Insights job family is responsible for providing data driven insights to the business to improve decision making. These are either a centralized analytics team working on cross-functional initiatives such as top 12 initiatives or Go-to-market or embedded analytics teams that live in the functional areas providing support and insights.

Responsibilities

• Business Partnership: Own stakeholder relationships regarding either business strategy, corporate metric forecasting, go to market, product strategy, pricing strategy and functional strategy needed to answer GitLab’s hardest questions.
• Data Subject Matter Expert.
• Partner with executive team members to provide data driven decision support using your analytical, process and business acumen.
• Highly skilled in being able to provide analysis and scientific data to answer GitLab’s toughest analytical questions.
• Communication: Prepare and review visualizations of all types of data to promote internal understanding of your team’s insights. Expert influencer to our executive team. Clearly articulate insights.
• Data Science Modeling: Design, implement and apply analytics techniques (e.g., optimization, machine learning, experimentation, mathematical modeling) using analytical tools and programming languages (e.g., R, Python, SAS). Be comfortable with a boring solution such as a heuristic when it helps drive the insight.
• Data Driven Insights and Analysis: Summarize key data driven insights to members of the executive team to drive better outcomes, an increase in revenue or decrease in cost. Provide insights across the company.
• The ability to discover data gaps and provide requirements to the Data team and to product management for the proper logging and data repositories.
• Be customer zero for our product teams as they design the MLOps and Product Analytics product areas.
• Be a culture definer and evolver of GitLab Values.
• Land data products with end stakeholders including preparing how to operationalize the data products, measure the impact of the data products and enable users.

Requirements

• Data Analysis: A passion for understanding business questions and making data driven insights. Excellent analytical skills.
• Proficient in SQL; R, Python preferred.
• A/B Testing experience: experience designing and executing A/B tests in collaboration with growth or product teams.
• Business Acumen: Be able to understand the business at a level to influence EVP priorities and company strategy.
• Business Partnership: Consistent track record of using quantitative analysis to impact key business decisions.
• Communication: Ability to present financial data concisely through written and oral communication. Expert at influencing business stakeholders.
• BS degree in Mathematics, Engineering, Statistics or relevant degree. MBA preferred.
• Ability to use GitLab.

Functional Specialties

• Go-to-market: provide data insights to improve GTM motions and activities from both operational and product data. Deliver data science products and data visibility.
• Product: provide insights for growth, product managers and pricing teams.
• Finance: Support the Finance function with corporate metric forecasting and driver analysis. Public company reporting and analysis as part of the quarterly close.
• Marketing: TBD
• Sales: TBD
• Engineering: TBD

Levels

Analytics and Insights Analyst

Job Grade

The Analytics and Insights Senior Analyst is a grade 6.

Analytics Engineers sit at the intersection of business teams, Data Analytics and Data Engineering and are responsible for bringing robust, efficient, and integrated data models and products to life. Analytics Engineers speak the language of business teams and technical teams, they are able to translate data insights and analysis needs into models powered by the Enterprise Data Platform. The successful Analytics Engineer is able to blend business acumen with technical expertise and transition between business strategy and data development.

This is a key leadership position on the Chief Marketing & Strategy Officer’s (CMSO) team. This highly visible role is a trusted partner to the CMSO to drive operational excellence and deliver repeatable business results. This role serves as a partner to the CMSO as a strategic advisor and executes cross-functional and cross-organization initiatives and activities supporting the CMSO’s strategy and vision in alignment with our company values. This role reports directly to the CMSO.

The Contributor Success team works on building efficiency and improvement of the contributor success program. The various roles in this team are:

Responsibilities

• Collaborate cross-functionally to deeply understand business questions, and design single-source-of-truth reports and dashboards to address them
• Enable data-driven decision-making through the detection of trends, discovery of anomalies/nuances, and identification of potential opportunities for growth / improvement
• Craft SQL code and dashboards that meet our internal standards for style, maintainability, and best practices for a high-scale analytics environment. Maintain and advocate for these standards through code review.
• Partner with Analytics Engineers, Data Engineers, and Governance/Quality Analysts to contribute to the enterprise data model and deliver trusted data sources and reports
• Understand and contribute to the full lifecycle of data in our Data Catalog, applying the DataOps philosophy (including an emphasis on automation and continuous iteration/deployment) across the development lifecycle
• Deliver high-quality, actionable reports and data products to functional stakeholders and the enterprise at large
• Conduct comprehensive data quality checks and validation against source systems to ensure data accuracy
• Document development work and process changes in issue/MR templates and/or the handbook
• Continuously upskill on analytics and data visualization methodologies, staying up-to-date on and adapting to industry changes

Requirements

• Ability to use GitLab
• Ability to thrive in a fully remote organization
• Ability to share and work in accordance with our values
• A positive and solution-oriented mindset
• Strong analytical and critical thinking skills with the ability to understand and implement complex business logic, gather and fulfill technical requirements, and design effective reporting solutions in an iterative manner
• Fluency in SQL with an ability to write complex SQL including multi-table joins, grouping and aggregation, common table expressions, and conditional filters
• Fluency in business intelligence tools (we use Tableau)
• Proficiency in data visualization best practices, with an interest in evangelizing those practices across the organization
• Experience working with a variety of data sources. Our data includes GitLab.com, Salesforce, Zuora, Zendesk, Marketo, NetSuite, Snowplow and many others (see the Data Team page)
• Effective communication collaboration skills, including the ability to provide clear status updates to stakeholders and leaders
• Comfort working in a highly agile, intensely iterative environment
• Self-motivated and self-managing, with strong organizational skills
• Prior experience in an analytics role, or equivalent education
• Awareness of, and willingness to research/experiment with, new technologies in the analytics space (including but not limited to the proliferation of AI/LLM applications in data)

Levels

Data Analyst Intern

An intern is not required to meet the base Data Analyst responsibilities and requirements, but is required to be interested in developing in towards them. An intern must:

The Data job family comprises executive-level roles dedicated to delivering a resilient data platform infrastructure, data-driven insights, data governance, data quality, and innovative data science products to empower informed decision-making and drive business success. These executives lead data teams focused on collaborating on cross-functional initiatives like top-priority projects or Go-to-Market challenges that thrive on data-driven solutions.

Their mandate includes driving company results by cultivating trusted, reliable, and innovative data products, Single Sources of Truth (SSOTs), and insights wherever and whenever needed. They strive to minimize the time from question to insight to action, enabling team members to work more efficiently by implementing streamlined processes, developing SSOTs, and facilitating self-service analytics.

The Data Engineer job family is focused on an analytical and business-oriented mindset with the ability to implement rigorous database solutions and best practices in order to produce and influence the adoption of strong quality data insights to drive business decisions in all areas of GitLab. The Data Engineer job family is essentially software engineers who have a particular focus on data movement and orchestration.

Data Engineer (Junior)

The Data Engineer (Junior) reports to the Manager, Data.

Data Governance and Quality Analyst Roles at GitLab

This role will be part of Data Governance and Data Quality team that comes under the larger umbrella of Data and Insights organization. The Data Governance and Data Quality Analyst will collaborate with cross-functional teams to implement and enforce data governance standards, manage data catalog, perform data quality assessments, and contribute to the overall success of the Data governance and data quality program and roadmap.

The Data Governance and Quality Program Manager is an individual contributor role, responsible for supporting Data Governance and Data Quality efforts across the organization, enabling business growth while ensuring compliance with risk and regulatory expectations. The position partners with various business and technology stakeholders to influence and drive adoption of related Data Management strategies, policies, standards and control frameworks. The role evaluates established and emerging data practices and technologies, while implementing processes and solutions.

The Manager, Data is responsible for delivering trusted data and analytics results to help GitLab make better and faster decisions by creating, developing, and leading a high-performance Team and continually improving the Data Platform along the Data Capability Model. The Manager, Data possesses a broad range of people skills and technical skills across the Data domain, as well as business acumen required to establish trusted partnerships with people inside and outside of GitLab. The Manager, Data reports to the Director/Senior Director, Data and Analytics.

The Data Science program at GitLab focuses on supporting internal teams and developing model-based insights to help us understand our business, customers, and product better. Data Scientists work across the entire development lifecycle, from inception to final delivery. As a result of helping GitLab understand major trends across our business, Data Scientists make significant strategic contributions to new and existing business initiatives.

Data Scientists work with peers on the Data Team and functional teams to:

Senior Director, Strategy

As the Senior Director, Strategy, you will play a pivotal role in shaping GitLab’s strategic direction, focusing on AI and hyperscaler trends. You will drive strategic initiatives that align with our growth and marketing objectives. The Senior Director, Strategy reports to the VP, Strategy and Developer Relations.

Job Grade

The Sr. Director of Strategy is a grade 11.

Responsibilities

• Lead the development and execution of business and products strategies focused on AI and hyperscaler engagements, particularly with AWS and Google
• Regularly engage with stakeholders and customers to validate and iterate strategies, ensuring alignment with their needs and market dynamics
• Develop a strategic AI-Driven platform vision, ensuring alignment across product, sales and marketing stakeholders
• Drive collaboration across functional teams to analyze issues and develop integrated solutions that enhance our innovation capacity, scalability, and delivery effectiveness
• Evaluate new market opportunities, providing insights that guide corporate prioritization and strategic decisions
• Communicate industry and competitive insights across the company, initiating strategies to improve our market position and profitability
• Work cross-functionally with the go-to-market teams to bring joint solutions to market and drive revenue growth
• Actively engage and collaborate with the Partner Sales organization

Requirements

• Proven experience as a visionary strategist with a deep understanding of cloud services and market dynamics
• Exceptional leadership and project management skills, capable of managing by influence across all company levels
• Innovative thinker open to exploring unconventional strategies to maximize impact.
• Comfortable with change and ambiguity, able to pivot strategies quickly as market conditions evolve
• Inspirational leadership style, with strong collaboration skills and a track record of working effectively in cross-functional teams
• Demonstrated ability to communicate complex ideas effectively, both verbally and in writing, to diverse audiences including executives, journalists, and technical specialists
• Experience in building and leading teams, particularly in business strategy and operations
• Background in the software development industry with a current focus on developer community engagement and advocacy, preferably within an open-source context.