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 culture with regular social events and excellent career growth.
- Why this job: Join a mission-driven team making a real impact on people's lives.
- Qualifications: 2-6 years in analytics; strong data skills and commercial mindset.
The predicted salary is between 49500 - 60500 £ 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 actively save people money starting by cancelling unwanted subscriptions for them.
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.
This is a high-impact, high-context role sitting across all three areas of the Commercial team: the Growth team, the product squad, and the team responsible for negotiating tariffs and prices. 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. 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 reporting, or dig into the questions that no one has thought to ask yet.
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 are relentlessly analytical.
- You are instinctively commercial.
- You’re fluent in data.
- You know how to run a good experiment.
- You turn complexity into clarity.
- You love new tools and thrive on getting them to work for you.
- You think like an owner.
- You move fast and learn fast.
- You care about building something meaningful.
Remuneration and benefits
Compelling packages, including share options with life-changing upside. We’ve raised enough money to pay real salaries. 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.
- 33 days paid holidays (including bank holidays).
- Health and dental cash plans.
- 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 employer: Doist
Brink's is an exceptional employer that fosters a collaborative and innovative work culture, empowering employees to drive global commercial strategies in the ATM lifecycle solutions sector. With a strong focus on professional development and growth opportunities, employees are encouraged to expand their skills while contributing to sustainable growth and operational excellence. Located in a dynamic environment, Brink's offers unique advantages such as a diverse team and the chance to build long-term partnerships with global customers, making it a rewarding place to advance your career.
StudySmarter Expert Advice🤫
We think this is how you could land Commercial Analyst
✨Get to Grips with Data Visualisation Tools
If you're aiming for a full-time role in business intelligence, brush up on your skills with popular data visualisation tools like Tableau or Power BI. Showcasing projects where you've transformed raw data into clear visual insights can give you a real edge.
✨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 Doist!
✨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
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 Doist, 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 Doist
✨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 Doist’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.