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NEXTMOVEFDE careers · United States

Senior Data Analytics Engineer

AI summary of the role

Builds and delivers metrics for Hyperbolic Labs' GPU marketplace to support company business decisions.

What you’ll do

  • Define, build, and deliver critical metrics that drive business decisions across the company.
  • Transform complex data into actionable insights for stakeholders.
  • Produce accurate marketplace metrics independently.

What you’ll bring

  • 4-8 years experience in data analytics
  • Strong SQL and Python scripting skills
  • Experience with dashboard development and BI tools

Technologies

SQL · Python · Hex · Metabase · PostHog · GPU · AI infrastructure · data pipeline

About Hyperbolic Labs

Marketplace-style AI cloud for startups and researchers to rent GPUs, run serverless inference, and reserve dedicated capacity without hyperscaler friction.

Series A · 10–50 people

Source and classification

Internal deployment & tooling · Evidence for this classification:

Who We Are Hyperbolic Labs is on a mission to democratize AI by breaking down the barriers to computing power with our Open-Access AI Cloud. By making better use of idle computing resources across the globe, we offer an innovative GPU marketplace and AI inference service that promise affordability and accessibility for all. As pioneers at the intersection of AI and open-source technology, we believe in an open future where AI innovation is limited only by imagination, not by access to resources. We're looking for forward-thinking individuals who share our passion for making AI universally accessible, secure, and affordable. Join us in building a platform that empowers innovators everywhere to turn their visionary AI projects into reality. About the Role We're seeking our first data analytics hire to establish and own the data foundation for our rapidly growing GPU marketplace. This
More from the job description

Who We Are Hyperbolic Labs is on a mission to democratize AI by breaking down the barriers to computing power with our Open-Access AI Cloud. By making better use of idle computing resources across the globe, we offer an innovative GPU marketplace and AI inference service that promise affordability and accessibility for all. As pioneers at the intersection of AI and open-source technology, we believe in an open future where AI innovation is limited only by imagination, not by access to resources. We're looking for forward-thinking individuals who share our passion for making AI universally accessible, secure, and affordable. Join us in building a platform that empowers innovators everywhere to turn their visionary AI projects into reality. About the Role We're seeking our first data analytics hire to establish and own the data foundation for our rapidly growing GPU marketplace. This is a high-impact role where you'll work directly with leadership to define, build, and deliver the critical metrics that drive business decisions across the company. You'll bridge the gap between our highly technical AI infrastructure and business needs, transforming complex data into actionable insights. As a data-heavy compute marketplace business, we need someone who can understand the nuances of our marketplace, work independently to produce accurate metrics, and communicate insights clearly to stakeholders. You'll have the opportunity to shape our data analytics function from the ground up, with a clear path to growing into a leadership role as the team expands. Who You Are 4-8 years of experience in data analytics, preferably at a technical startup with a small analytics team where you had significant ownership Strong SQL and Python scripting skills for data manipulation and analysis Expert at data debugging and ensuring data correctness with a proactive approach to data health Experience with dashboard development and business intelligence tools (Hex, Metabase, PostHog, or similar) Exceptional attention to detail with consistent review and improvement of data systems Strong communication and collaboration skills with the ability to articulate complex data insights to leadership Experience working with highly technical teams and understanding technical business models Proactive in seeking clarification when needed and comfortable navigating ambiguity Ability to accept direct feedback and continuously improve Preferred Qualifications Experience in GPU compute infrastructure or cloud computing space Background in AI infrastructure or related technical domains Data engineering skills or familiarity with data pipeline development Experience at high-growth, early stage, technical companies Hyperbolic is an equal opportunity employer. We celebrate diversity and are committed to creating an inclusive environment for all employees.

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