• Support exploratory, descriptive and predictive analysis of user feedback data; • Contribute to building and evolving data and AI pipelines, including data ingestion, processing and insight generation; • Participate in the development, testing and evaluation of LLM-based solutions, including advanced fine-tuning and prompting, and implementation of RAG (Retrieval-Augmented Generation); • Assist in creating and experimenting with intelligent agents integrated with tools, APIs and knowledge bases; • Assist in defining and monitoring model quality and performance metrics; • Contribute best practices for development, documentation and critical evaluation of the limitations of AI solutions; • Collaborate on automating analytical processes to achieve scalability and efficiency.

Role Description As a Revenue Analytics Manager, you’ll be the go-to individual contributor for turning complex sales and go-to-market data into clear insights and tools that help leaders make better decisions. You’ll work with first order, SMB, and sales development and core sales performance metrics to build AI tools, analytics, and insights that Field Operations stakeholders can rely on. You’ll own projects end to end: partnering with Sales and Operations stakeholders to understand questions, managing projects, running analysis, and translating results into recommendations that drive tangible impact. You’ll work primarily with Claude, dbt, Snowflake, SQL, and Python to build insights that can drive the business. Deliverables will be platform agnostic where you will be asked to determine the right solution for the current need, be it a scalable data model, verified queries, agentic workflows, dashboard and reporting, or even ad hoc analysis via gsheets. You’ll collaborate closely with adjacent functions such as Pipeline, Sales Strategy, and Customer Success analytics. Over your first year, you’ll focus on establishing a strong analytics foundation for new business and first orders, delivering quick-win insights and scalable reporting, and becoming a trusted partner to leaders across the go-to-market organization. What you’ll do - Lead end-to-end first order and new business analytics work, from defining questions with stakeholders to building datasets, analysis, and clear recommendations that inform sales decisions. - Determine which legacy Tableau dashboards need to be maintained, which need to be updated to new reporting standards, and which can be migrated to AI-based solutions. - Drive deep analysis of first order pipeline, new business attainment, and other sales metrics using SQL and Python to uncover trends, risks, and opportunities. - Collaborate closely with Sales, Field Operations / RevOps, Finance, and Customer Success partners to translate business needs into scalable analytical solutions and tools. - Own the quality, structure, and usability of sales data in partnership with central data teams, ensuring consistency across Snowflake, dbt models, and other data sources where relevant. - Manage stakeholder expectations and project timelines, prioritizing requests and communicating trade-offs and outcomes in a clear, structured way. - Partner with Customer Success and broader go-to-market teams to align sales analytics with go-to-market and customer success metrics where needed. - Contribute to improving analytics processes, documentation, and standards so the team can work more efficiently and reuse high-impact analytical assets. Qualifications - Background working in sales analytics, with hands-on experience interpreting key sales metrics such as pipeline health, quota attainment, and forecast accuracy. - Proficiency with AI and business intelligence tools, with direct experience using Tableau or a similar BI platform and the ability to adapt to GitLab’s tooling and approach. - Practical skills in querying, and transforming data using SQL and Python, and comfort working with modern data warehouses and analytics environments. - Experience with Analytic Engineering and the ability to determine when a solution should be a view, a table, or a custom query to meet long term objectives. - Ability to manage projects and stakeholders, translating business questions into analytical plans and communicating findings to non-technical partners. - Experience supporting sales or go-to-market teams, with familiarity in areas such as new business development, pre-sales, marketing, or small and mid-market sales processes. - Exposure to tools and concepts such as dbt, Snowflake, or comparable technologies, and an understanding of data structures that support scalable reporting. - Clear, structured communication skills in an all-remote, asynchronous environment, including documenting work and collaborating across time zones. - Openness to learning GitLab’s product, data model, and ways of working, with transferable experience from sales, revenue, or field operations analytics roles. Benefits - Flexible Paid Time Off - Team Member Resource Groups - Equity Compensation & Employee Stock Purchase Plan - Growth and Development Fund - Parental Leave

• Structure and evolve the organization's Data Governance model; • Assess governance maturity, data quality, metadata, data lineage and compliance of data assets; • Define policies, standards, roles and a Data Ownership and Data Stewardship model; • Implement and strengthen data catalog practices, business glossary, classification and lineage using Databricks Unity Catalog; • Define data quality rules, monitoring metrics and remediation processes; • Ensure compliance with LGPD (Brazilian General Data Protection Law), privacy policies, retention and handling of sensitive data; • Support the incorporation of governance practices and documentation into squad deliveries.

Role Description We're seeking a detail-oriented Data Enrichment Specialist to help review, validate, and update business records, ensuring accurate and reliable data for the team. This is a 3-month contract role with the opportunity for additional hours and a project extension. Duties and Responsibilities - Review and validate account records for accuracy. - Confirm company websites are active and associated with the correct business. - Verify business phone numbers, mailing addresses, and contact information. - Research companies with outdated or inactive websites to locate current information. - Identify and document every modification or addition made to each record. - Maintain organized, accurate spreadsheets and deliver completed work in a clean CSV format. - Follow established workflows while maintaining a high level of quality and consistency. Project Scope - Approximately 5,000 company records to review (not every record will require updates). - Initial quality assurance batch of 200–500 records before scaling. - Three-month project with work assigned in phases. - Opportunity for additional hours based on project pace and quality. Qualifications - Exceptional attention to detail. - Experience conducting online research and validating business information. - Strong written English communication skills. - Comfortable working with spreadsheets, including filtering, sorting, and maintaining clean data. - Able to work independently once processes are established. - Highly organized with the ability to perform repetitive tasks accurately. Requirements - Previous experience with data enrichment, lead research, CRM cleanup, or data quality projects. - Familiarity with LinkedIn and business directory research. - Experience working with CSV files and large datasets. - Experience supporting B2B sales or operations teams. Benefits - Permanent remote work flexibility. - Paid Time Off. - Health Maintenance Organization (HMO) coverage. - Annual performance bonuses. - Dedicated coaches offer an extra channel of support and skill-building. - Opportunities for professional growth.