Commercial Analyst in London

Commercial Analyst in London

London Full-Time 45000 - 55000 £ / year (est.) Home office (partial)
Nous

At a Glance

  • Tasks: Analyse data to drive business decisions and optimise user experiences.
  • Company: Fast-growing AI startup revolutionising household savings.
  • Benefits: Competitive salary, share options, flexible remote work, and 33 days holiday.
  • Other info: Collaborative office environment with regular social events and excellent career growth.
  • Why this job: Join a dynamic team making a real impact on people's lives.
  • Qualifications: 2-6 years in analytics, strong data skills, and a passion for problem-solving.

The predicted salary is between 45000 - 55000 £ per year.

About Nous

Nous is an AI agent that takes some of the load of life; making good decisions and acting for our users in areas where they’re not the experts or aren’t paying enough attention. We've started with optimising bills, where we're already saving households thousands, and are now expanding into new categories.

We’re growing fast, and it's working. 20x YoY growth makes us one of the fastest scaling startups in the UK. And NPS of +70 (higher than Apple) shows that our users love it.

We've just launched two more novel new products: Insurance and Subscription management. We’re the first to get the regulatory approval and build the tech to actually do the full insurance discovery and purchase journey as an agent for the user. We also actively save people money by cancelling unwanted subscriptions for them.

But we've only scratched the surface; our ambitions are much higher. We’re building a new category of product which is hard, so we’ve stacked the deck in our favour: an experienced founding team with multiple exits, and investors including the founders of Monzo, Wise, Booking.com, lastminute.com, Onfido, Funding Circle, Tide, Habito and more.

Still - the problems we’re solving are hard. To have real impact, agents need to break out of the sandbox and take action in the real world where there are consequences. This means solving all the hard, thorny, interesting, frustrating problems the real world has to offer.

About the role

Nous is one of the UK’s fastest growing, AI-native consumer start-ups. We’re looking for an exceptional Commercial Analyst whose ambition matches our own and can help accelerate our next phase of scale.

The Commercial team encompasses three main interlinked areas: the Growth team, responsible for scaling the Nous user-base; the product squad responsible for converting visitors to our website into happy users of the Nous service; and the team responsible for negotiating the tariffs and prices that we offer to our users.

This is a high-impact, high-context role sitting across all three areas. This person will be responsible for business analytics across the group. You’ll work closely with our founders and senior leaders throughout the business, turning data into insight that shapes where we place our biggest bets.

We’ve got serious commercial targets - we are on our way to helping millions of households across the UK. Your days will never be dull. We’re growing on every vector at once: users, the utility and insurance ‘service lines’ we manage, and the data users connect to us through open banking.

You might be building models that guide how we allocate budget, stand up the metrics that tell us whether a new channel is worth scaling, automate the reporting that quietly eats everyone’s time, or dig into the questions that no one has thought to ask yet. You won’t be boxed in, and you’ll be working on problems that genuinely matter from day one, with the support of smart, ambitious teammates.

We’re setting a high bar for this role. You don’t need to have done exactly this before - because nobody has - but you need to be smart, sharp, curious, and energised by the idea of being the person who makes an entire company smarter about itself.

About you

This is a high-performance analytical role at the commercial core of a fast-scaling business. We're open to a wide variety of experience levels, but it's ideal for someone in the early-to-middle stages of their career, e.g. 2-6 years of experience in a fast-paced, analytical environment such as a startup, consultancy, investment team, or growth-focused business.

You’ll need to have turned data into decisions in the real world — building models, analysing funnels, running experiments, or helping commercial teams understand what’s really going on beneath the numbers. You don’t need to be the deepest technical specialist, but you do need to be genuinely comfortable with data, hungry to learn, and excited to move quickly.

You’ll likely thrive in this role if:

  • You are relentlessly analytical.
  • You are instinctively commercial.
  • You’re fluent in data.
  • You know how to run a good experiment.
  • You love new tools and thrive on getting them to work for you, especially AI.
  • You think like an owner.
  • You move fast and learn fast.
  • You care about building something meaningful.

We’re building a best-in-class team, and we’re looking for someone who’s excited to grow with it. If you get a kick out of finding the signal in the noise — and turning it into decisions that move an ambitious business forward — we’d love to hear from you.

Remuneration and benefits

Compelling packages, including share options with life-changing upside. We’ve raised enough money to pay real salaries. We're building something great together and we all share in the upside. If we win, we win together.

An environment where you can do your best work:

  • A great office set up for lots of collaborative working.
  • The equipment/setup/training you need to do your best work.
  • A high-context environment with lots of exposure to the big decisions.
  • Flexibility around remote work.
  • Very good coffee.
  • A well-stocked kitchen.
  • Informal social every week, something bigger every month, plus a set-piece event in the summer and again at Christmas.
  • 33 days paid holidays (including bank holidays).
  • Health and dental cash plans, including an employee assistance programme.
  • Travel benefits, including the cycle-to-work scheme and season ticket loans.

Nous has an office-first culture. That means we encourage in-person working, and most people do work from the office in Farringdon most of the time.

Commercial Analyst in London employer: Nous

At Nous, we pride ourselves on being an exceptional employer that fosters a collaborative and innovative work culture. Located in Farringdon, our office-first environment encourages teamwork and creativity, while offering generous benefits such as meaningful share options, 33 days of paid holidays, and a well-stocked kitchen to keep you energised. With ample opportunities for personal and professional growth, including mentorship and the chance to lead impactful projects, you'll find a rewarding career path that aligns with your passion for product engineering.

Nous

Contact Details:

Nous Recruitment Team

StudySmarter Expert Advice🤫

We think this is how you could land Commercial Analyst in London

Get to Grips with Data Visualisation Tools

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Join Local Business Intelligence Meetups

Look for local business intelligence meetups or analytics conferences in your area. These events are not just great for learning but also for networking with industry professionals who could lead you to opportunities at companies like Nous!

Engage with Online BI Communities

Join online forums or communities focused on business intelligence—think LinkedIn groups, Reddit threads, or even dedicated Slack channels. Engage actively by sharing your insights and asking questions; this can help you build visibility and connect with potential employers.

Leverage Your University’s Career Support

If you're a recent graduate, definitely tap into your university's career services. Many have connections with companies in need of full-time BI specialists, and they can guide you on how to pitch yourself effectively—don't miss out on that!

We think you need these skills to ace Commercial Analyst in London

Problem-Solving Skills
Communication Skills
Flexibility
Adaptability
Compassion
Teamwork
Organizational Skills

Some tips for your application 🫡

Highlight Your Analytical Skills:In the business intelligence field, showcasing your analytical skills is a must. Make sure your CV includes relevant experience with data analysis tools, programming languages like SQL or Python, and any projects where you've interpreted complex data sets to drive business decisions.

Showcase Your Business Acumen:Don't just focus on data; show us how you can apply your insights to real-world business problems. Highlight projects where you made a tangible impact on company performance, and be prepared to explain your thought process in your cover letter.

Tailor Your Documents for Us:When applying for a full-time role at Nous, tailor your CV and cover letter to reflect our organisational goals and strategies. Mention specific tools and methodologies that align with what we do—this shows you’ve done your homework and are genuinely interested in our mission!

Include Relevant Certifications:Certifications like Google Data Analytics or similar qualifications can really make you stand out in business intelligence. Include these in your application, as they demonstrate your commitment to the field and your willingness to stay current with industry standards.

How to prepare for a job interview at Nous

Show off your analytical skills

In a business intelligence role, you're going to need to demonstrate your analytical prowess. Be prepared to discuss specific tools you've used, like SQL, Tableau, or Power BI. Have real-world examples ready where you’ve turned data into actionable insights – this is what makes us shine in interviews!

Practice your technical know-how

Expect some technical questions during the interview that dive deep into your understanding of data modelling and analytics frameworks. Brush up on your knowledge of data warehousing concepts and be ready to tackle any real case scenarios they might present. They’ll want to see how you approach problems using your BI toolkit.

Portfolio of Projects

Since it's a full-time role, having a strong portfolio is key! Compile case studies demonstrating your previous projects, preferably showing how your insights led to business improvements. This can help us display how you think through complex datasets and your problem-solving process, which is what employers are keen on seeing.

Know their business model

Get familiar with Nous’s business model and recent data-driven decisions. Be prepared to discuss how your skills can specifically support their objectives or challenges. Understanding their landscape shows that you’re not just a data buff, but you’re also genuinely interested in how BI can impact their bottom line.