Chainguard · 1 day ago

GTM Analytics Engineer

Remote - US

Full-time

Remote

Mid Level

4+ years exp

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Responsibilities

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.

Qualification

Find out how your skills align with this job's requirements. If anything seems off, you can easily click on the tags to select or unselect skills to reflect your actual expertise.

Data EngineeringSQLETL ProcessesData ModelingBusiness Intelligence ToolsData WarehousingQuantitative Programming LanguagesGTM Datasets Understanding

Required

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