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NousNous is an AI-native consumer startup in the UK seeking a Commercial Analyst to drive high-impact analytics across growth, product, and pricing. You will turn data into decisions, build dashboards, and model scenarios to guide how the company scales and allocates budgets.
You’ll work closely with founders and senior leaders in a high-context environment, handling experiments, revenue insights, and cross-functional analysis from day one.
About NousNous 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. Similar to how Amazon picked books as its first category and grew from there.
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 (on top of our existing bill optimisation). Insurance: 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 (not just give them a link to the best deal). Subscription management: lots of companies use Open Banking to draw pretty graphs – we're the first to use it to actively save people money starting by cancelling unwanted subscriptions for them.
It would be easy to look at this and think we've got it all figured out. But we've only scratched the surface; our ambitions are SO 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. ‘Talk is cheap’ applies to agents too. 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.
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 3 main interlinked areas: the Growth team, responsible for scaling the the company user-base, the product squad responsible for converting visitors to our website into happy users of the the company 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 - on one day that might mean setting up and measuring a website-conversion experiment, on the next creating a dashboard for a crucial new revenue stream, and the next helping negotiate an industry-leading price from a utility provider. 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. When a number moves, you’re the person who knows why. When we’re deciding what to do next, you’re the person who’s already modelled the scenarios.
We’ve got serious commercial targets - we are on our way to helpingp 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, the other jobs we take off people’s hands (cancelling unwanted subscriptions, for one), 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, as well as comfortable working in a high-context environment with high expectations and a steep learning curve.
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 might well have an entrepreneurial background or desire and drive to be an entrepreneur in the future.
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’re probably not a data engineer - but you can unblock yourself if the data model isn’t quite set up how to need it.
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.
the company 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. We do a lot of brainstorming, problem-solving and interaction within the team and presence makes this more effective. It also helps ensure people have good peripheral awareness and high context. But we are pragmatic not doctrinal about this, and recognise that, sometimes, certain types of work can be better done remotely.