About
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.
Languages
- English
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