At a Glance
- Tasks: Lead the Business Intelligence team and shape data-driven decisions for rapid growth.
- Company: Join a fast-scaling AI startup revolutionising how people manage their bills and subscriptions.
- Benefits: Competitive salary, share options, flexible remote work, and generous holiday allowance.
- Other info: Collaborative office culture with regular social events and a focus on innovation.
- Why this job: Make a real impact in a high-performance environment with cutting-edge AI tools.
- Qualifications: Strong analytics background, SQL expertise, and experience in fast-growing businesses.
The predicted salary is between 75600 - 92400 £ per year.
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.
Across energy, mobile, broadband, insurance and subscriptions, Nous has grown 20x in the last 12 months. Our reporting hasn't always kept pace. We're hiring a Head of Business Intelligence to own this and fix it. That means you'll set the standards rather than inherit them. No legacy team, no committee, no five-year-old semantic layer you're not allowed to touch.
Key Responsibilities:
- Own the canonical definitions. Sponsor an agreed definition for each fundamental metric.
- Own the models underneath. Consolidate dbt and Omni models, moving everything onto our current event standard.
- Make the numbers provable. Build reconciliation and automated checks that keep events, database tables and the finance ledger agreeing.
- Own commercial reporting and unit economics: revenue per switch by product and supplier, contribution margin, CAC and payback by channel, cohort retention, repeat switching, LTV.
- Be the analytical partner to the commercial teams.
- Set the governance: access, PII handling, how deleted users are treated in analytics.
- Continue to drive the use of AI.
About You:
- You're commercially minded as well as technically strong.
- You're fussy about correctness.
- You've done this from scratch in a fast-growing company.
- You're hands-on and expect to stay that way.
- You simplify complex data into actionable insights.
- You build with AI tools daily.
Essential Experience:
- Substantial experience in analytics, BI or data leadership.
- Confident SQL skills.
- Hands-on with a modern warehouse and transformation layer.
- Experience with BI and semantic modelling tools.
- Event analytics experience.
- A track record of establishing metric definitions.
- Active use of AI tooling in your day-to-day work.
Desirable Experience:
- Experience in consumer subscription, marketplace, fintech, energy or utilities.
- Modelling LTV, payback and cohort behaviour.
- Experimentation platforms experience.
- Board and investor reporting.
- Instrumentation and tracking plan design.
- Some Python for analysis.
Remuneration and Benefits:
- Compelling packages, including share options.
- A great office set up for collaborative working.
- Flexibility around remote work.
- 33 days paid holidays.
- Health and dental cash plans.
- Travel benefits.
Nous has an office-first culture. Most people work from the office in Farringdon most of the time. This is a high-performance, high-agency and high-trust technical environment.
Head of BI 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.
StudySmarter Expert Advice🤫
We think this is how you could land Head of BI in London
✨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 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 Head of BI in London
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.
