Senior Data Analyst, Enterprise Analytics

About the Role

As part of this role, the Senior Data Analyst will also contribute to improving the Enterprise Analytics handbook and core data foundations. This includes ensuring that strategy, processes, and metric definitions are clear and usable in an all-remote, values-driven environment. The ability to work effectively in a distributed team and adapt to the dynamic nature of a rapidly growing company is essential.

Gitlab's commitment to innovation and excellence provides a stimulating environment where careers can accelerate, and every voice is valued. The company's high-performance culture, driven by its values and continuous knowledge exchange, enables team members to reach their full potential while collaborating with industry leaders to solve complex problems.

What You Will Do

• Build and maintain executive-facing scorecards, go-to-market performance views, and new-customer reporting that connect pipeline, bookings, and product usage signals into targets-versus-actuals tracking by motion.
• Design performant, reusable Tableau Cloud data sources and help shape the underlying dbt models so reporting layers are stable, governed, and aligned to single-source-of-truth patterns.
• Collaborate with Analytics Engineering and Data Engineering to improve dbt models that support reliable, scalable reporting for business stakeholders.
• Document metric logic, data lineage, and Tableau usage patterns in the handbook so stakeholders can understand how data products are built and used.
• Implement and monitor data quality checks and reconciliations across Snowflake, Salesforce, and other go-to-market systems to strengthen trust in company-level reporting.
• Partner with stakeholders to identify and prioritize analytics needs, developing solutions that meet business objectives.
• Develop and maintain comprehensive documentation of data sources, transformations, and outputs to ensure transparency and reproducibility of analytics workflows.
• Stay up-to-date with industry trends and emerging technologies in data analytics, evaluating their potential application within Gitlab.

What We Are Looking For

• Proven experience as a Senior Data Analyst or similar role, preferably in a fast-paced, technology-driven environment.
• Strong technical skills, particularly in Salesforce, Snowflake, Tableau, and dbt.
• Excellent communication and interpersonal skills, with the ability to convey complex data insights to both technical and non-technical stakeholders.
• Experience working with cross-functional teams, including sales, marketing, and finance.
• Strong understanding of data modeling, data warehousing, and ETL processes.
• Ability to work independently and as part of a distributed team, with a high degree of autonomy and self-motivation.
• Familiarity with agile development methodologies and version control systems like Git.
• Bachelor's degree in Computer Science, Statistics, Mathematics, or a related field.

Nice to Have

• Experience with Adjust or similar analytics platforms.
• Knowledge of programming languages such as Python or SQL.
• Certification in data analytics or a related field.
• Previous experience working in a remote or distributed team environment.

Benefits and Perks

• Competitive salary and equity package.
• Comprehensive health, dental, and vision insurance.
• Flexible PTO policy and paid holidays.
• Remote work stipend and equipment reimbursement.
• Opportunities for professional development and growth within the company.
• Access to cutting-edge technologies and tools.
• Collaborative and dynamic work environment with a team of industry leaders.

• Highlight your technical skills: Ensure your resume and cover letter emphasize your experience with Salesforce, Snowflake, Tableau, and dbt.
• Prepare examples of data insights: Be ready to discuss specific examples of how you've used data to inform business decisions in previous roles.
• Showcase your communication skills: Demonstrate your ability to communicate complex data insights to non-technical stakeholders through clear, concise language.
• Emphasize your experience with cross-functional teams: Highlight any experience working with sales, marketing, finance, and other teams to deliver data-driven solutions.
• Be prepared to discuss your approach to data quality: Show an understanding of the importance of data quality checks and reconciliations, and be ready to discuss your approach to ensuring data integrity.
• Research Gitlab's values and culture: Understand the company's values and culture, and be prepared to discuss how your own values and work style align with those of the company.
• Be ready for a technical interview: Prepare to answer technical questions related to data analytics, SQL, and programming languages, and be ready to complete a practical assessment or case study.