At a Glance
- Tasks: Build data pipelines and automate reporting for our AI cloud platform.
- Company: Fast-growing GPU cloud and AI infrastructure business with a focus on renewable energy.
- Benefits: Competitive salary, flexible working, 25 days holiday, and private medical insurance.
- Other info: Join a collaborative culture with clear career progression and ownership opportunities.
- Why this job: Make a real impact in a data-driven environment and shape the future of AI compute.
- Qualifications: Experience as a Data Analyst, strong SQL and Power BI skills, and a problem-solving mindset.
The predicted salary is between 29700 - 36300 £ per year.
ABOUT NEXGEN CLOUD
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.
THE ROLE: Data Analyst
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.
WHAT YOU'LL BE DOING
- Build and maintain the pipelines that bring data from across the business into Databricks and Power BI, and automate the manual steps along the way.
- Own the daily revenue and occupancy reporting that leadership uses to track how the GPU fleet is performing.
- Check that what we bill matches what customers actually used, covering power draw, utilisation, asset registers and credits.
- Support commission calculations and give sales leadership a clear view of pipeline health, conversion and churn.
- Model pricing options and deal economics so investment decisions are grounded in real numbers.
- Validate every figure before it reaches leadership or anyone outside the company.
- Help the wider team work confidently with BI tools and data.
ABOUT YOU
We care more about how you think and work than a perfect CV. You'll likely bring a combination of the following:
- Essential: Hands-on experience as a Data Analyst or in a similar role, including data extraction, integration or automation projects.
- Strong SQL and Excel skills.
- Solid Power BI experience, including reconciling figures when different sources disagree.
- Hands-on use of a CRM (HubSpot or similar), and of AI tools to speed up analysis and build work.
- A root-cause mindset: you find the underlying cause rather than reporting the symptom, and you bring a proposed solution with it.
- Nice to Have: Experience with Databricks.
- Exposure to billing, revenue assurance or commission processes, ideally in a cloud, SaaS or usage-based business.
- Some experience with financial modelling or FP&A work.
- Time spent in a high-growth company where data processes were still being built.
WHAT WE OFFER
- Competitive salary and annual discretionary bonus scheme.
- Employee wellbeing benefits.
- 25 days holiday, plus public holidays.
- Private Medical Insurance.
- Enhanced Pension Scheme.
- Flexible working arrangements (remote or hybrid, depending on role and location).
- Real ownership and autonomy — the trust to take initiative and experiment.
- Visible, meaningful impact as we scale.
- Clear career progression in a high-growth company.
- A collaborative, international culture built on trust, transparency, and ownership.
- The chance to help shape NexGen Cloud's team, culture, and future.
WHY APPLY
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.
MORE INFORMATION
Visit our careers page to learn more about us or follow us on LinkedIn and X to learn more about our journey and keep up with our latest news and releases.
Data Analyst employer: Nexgencloud
NexGen Cloud is an exceptional employer for Data Analysts, offering a dynamic work environment where innovation meets sustainability. With a strong focus on employee wellbeing, competitive salaries, and flexible working arrangements, we empower our team to take ownership and make a real impact in the fast-evolving AI infrastructure landscape. Join us to grow your career in a collaborative culture that values transparency and encourages personal development while contributing to meaningful projects powered by renewable energy.
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We think this is how you could land Data Analyst
✨Get Involved in Data Science Meetups
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We think you need these skills to ace Data Analyst
Some tips for your application 🫡
Show Off Your Projects:In the world of data science, your projects can speak volumes about your skills. Make sure to showcase a few key projects in your CV or portfolio, especially those that highlight your ability to work with data sets, build models, or use relevant tools like Python, R, or SQL. Don’t forget to include links to any GitHub repositories if applicable!
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✨Brush Up on Your Statistics
For a data science role, we need to seriously sharpen our statistics skills. Get ready to tackle technical questions on probability distributions, hypothesis testing, and regression analysis. These are often the bread and butter of data science interviews, so don't just skim over them!
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Prepare a killer portfolio showcasing your data science projects. We should include details about the datasets used, the tools and techniques applied, and the impact of your findings. If we can walk them through a particularly challenging project or a cool visualisation that had real-world implications, it’ll really make us stand out!
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✨Prepare for Case Studies
Expect to encounter real-world case studies during the interview. We might be asked how we’d approach a data problem or analyse a dataset to extract insights. It's essential to think out loud and demonstrate our problem-solving process so that the interviewer can see our logical thinking in action.
