Don’t send a generic resume — generate a resume and cover letter tailored to this exact role.
NexGen Cloud is seeking a Data Analyst to join our fast-growing AI compute business. You will build pipelines bringing data into Databricks and Power BI, ensuring data quality and trust across revenue, occupancy and billing.
You will own daily reporting, reconcile figures across sources, and support sales leadership with pipeline health insights, while enabling teams to work confidently with BI tools and data.
NexGen Cloud is a fast-growing GPU cloud and AI infrastructure business. We're the company behind Hyperstack — a self-serve, on-demand cloud platform built for high-performance AI, HPC, and compute-heavy workloads. Powered by 100% renewable energy and NVIDIA architecture, Hyperstack gives teams from AI startups to enterprise the compute they need, without the cost or complexity of legacy cloud.
We move fast, solve hard problems, and build things that matter. If you want ownership, real impact, and a front-row seat to one of the most consequential infrastructure shifts of the decade — this is the place.
NexGen Cloud is moving to a data-driven way of running the business. Right now, revenue, occupancy, billing and pipeline data live across data warehouses, business systems and APIs, and the numbers don't always agree. We're building out our Strategic Finance team so that leadership, sales and operations can rely on one set of figures and act on them daily.
This role suits someone who enjoys the technical craft of data and wants to learn the commercial side of the AI compute market. We'll teach you that context. When a number looks wrong, you'll dig until you find why, and you'll come back with a fix as well as the problem.
Rather than a checklist, here's what success in this role actually looks like:
We care more about how you think and work than a perfect CV. You'll likely bring a combination of the following:
We welcome applications from all backgrounds. If you enjoy solving complex infrastructure problems and want to build something meaningful at scale, we'd like to hear from you.
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