GTM Analytics Engineer, Chainguard

• 4+ years of experience in a relevant Data role (data or analytics engineering)
• Proven ability to operate within a fast-paced, hyper growth environment and propose domain-relevant solutions based on industry best practices
• Advanced proficiency in SQL, with proven experience in designing and building scalable data pipelines and infrastructure
• Experienced in using business intelligence tools (Sigma, Tableau, Looker, Mode, Hex) to communicate complex data into actionable insights and enable self-serve
• Strong understanding of data warehousing concepts, ETL processes/workflows, and data modeling techniques
• Excellent problem-solving skills and the ability to work independently in a fast-paced environment
• Best-in-class attention to detail and unwavering commitment to data governance, accuracy, and compliance best practices
• Understanding of the GTM datasets, SaaS industry, and business levers of impact

Desirable

• We are looking for a Go-to-Market Analytics Engineer to join our Analytics team within the GTM Strategy and Operations function
• In this key role, you will play a pivotal part in shaping a data-driven culture, optimizing decision-making processes, and spearheading strategic initiatives through advanced analytics
• Your expertise will be critical in delivering insights that empower informed decisions, all within a dynamic, fast-paced, and hyper-growth environment
• Develop a best-in-class data platform that empowers critical business decisions and serve as the subject matter expert for the sources of truth within our GTM data ecosystem
• Architect, design, and implement scalable and robust data pipelines with best in class tech maintaining comprehensive documentation throughout the process
• Manage the entire lifecycle of metrics and models, from initial prototyping through to production deployment and ongoing optimization
• Design and enhance tools, including dashboards, that enable the team to independently extract, analyze, and translate data into actionable insights
• Partner with data analysts and other data teammates to design and build data models that support analytical and reporting needs
• Develop, optimize, and maintain ETL processes to seamlessly integrate data from multiple sources into our data lake
• Play a critical role in shaping the future direction of the analytics infrastructure as our company scales
• Build partnerships with Sales, Marketing, CS, and Finance, who are the consumers of the data through effective communication and and knowledge sharing