At a Glance
- Tasks: Build analytics foundations and influence key business decisions in a fast-growing AI startup.
- Company: Join a profitable, innovative company transforming investment research with cutting-edge technology.
- Benefits: Competitive pay, equity, private healthcare, gym membership, and unique summer opportunities in Greece.
- Other info: Dynamic team culture with massive growth potential and no legacy systems to hold you back.
- Why this job: Real ownership and direct impact on product and strategy as the first dedicated data hire.
- Qualifications: Experience with product analytics, strong communication skills, and self-direction in ambiguous environments.
The predicted salary is between 50000 - 70000 £ per year.
About Junior
We're building cutting‑edge LLM‑powered tools that supercharge investment research for the world's most demanding deal teams. Our clients include several of the top 10 global private equity firms, Big 4 professional services firms, and leading consulting practices: organisations responsible for deploying billions of dollars annually. We're a profitable, bootstrapped company with a growing team of ~28 people based in London and New York. We 10x'd our revenue in 2025 and are on track to grow 2-3x again this year. Junior saves clients an average of 10 hours per week, and we're expanding fast into new verticals including investment banking, hedge funds, and research firms.
Role Description
We’ve built Junior this far through strong product instincts, speed, and founder intuition, but instinct only gets you so far. As our first dedicated data hire, you’ll build the analytics foundation that helps us understand what’s really driving the business – what users love, what makes customers retain, where deals are won/lost, and where we should focus next. You won’t just be building dashboards. You’ll be helping shape how one of the fastest‑growing AI startups in NYC actually makes decisions. This is a foundational role with massive visibility and ownership.
Sample set of projects:
- Feature adoption
- Python for data wrangling, analysis and visualization (pandas, matplotlib / plotly etc); BI or dashboarding tool – Metabase, Looker, Tableau, or similar
AI-forward: experience vibe coding and using AI tools
Relevant prior experience:
- Has worked with product analytics platforms like Amplitude, Mixpanel, or equivalent – comfortable with event‑level data and funnel analysis
- Experience working directly with CRM or similar data
- Bonus points for experience in B2B SaaS, fintech, or enterprise software where usage data is complex and customer segments vary widely
Strong communicator who can tell a clear story with data – our commercial stakeholders are smart but non‑technical, and they’ll rely on you to make the numbers make sense. Self‑directed and comfortable with ambiguity – there’s no existing data team to hand off to; you’ll define the questions as often as you answer them.
Why This Role
- Real ownership: You’ll be the first data hire. You’re not inheriting legacy dashboards or maintaining old reports – you’re building the foundation from scratch.
- Direct impact: Your work will influence product roadmap, sales strategy, customer success, and executive decision‑making.
- Massive upside: We’re already at $15M+ ARR and scaling quickly. The systems you build now will support the next 10x of growth.
- Strong business fundamentals: Profitable, bootstrapped, and growing fast – no investor theatre, no fluff, just real traction.
Benefits
All the usual benefits (competitive pay and equity, private healthcare etc), but also unusual benefits:
- Incredibly strong equity
- Gym membership
- In‑office cook
- Summers working in Greece by the beach
Data Analyst - London employer: Junior AI
At Junior, we pride ourselves on being an exceptional employer, offering a dynamic work culture that fosters innovation and collaboration. As a Data Analyst in our London office, you'll enjoy unique benefits such as strong equity options, a gym membership, and the opportunity to spend summers working by the beach in Greece. With a focus on employee growth and real ownership in your role, you'll have the chance to shape the future of one of the fastest-growing AI startups while making a tangible impact on our business.
StudySmarter Expert Advice🤫
We think this is how you could land Data Analyst - London
✨Tip Number 1
Network like a pro! Reach out to people in the industry, attend meetups, and connect with potential colleagues on LinkedIn. We all know that sometimes it’s not just what you know, but who you know that can land you that dream job.
✨Tip Number 2
Prepare for those interviews by practising common data analyst questions and scenarios. We recommend doing mock interviews with friends or using online platforms. The more comfortable you are, the better you’ll perform when it counts!
✨Tip Number 3
Showcase your skills through a portfolio! Create a few projects that highlight your data wrangling and visualisation abilities. We love seeing real examples of your work, so make sure to share them during interviews or on your LinkedIn profile.
✨Tip Number 4
Don’t forget to apply through our website! It’s the best way to ensure your application gets seen by the right people. Plus, we’re always on the lookout for passionate candidates who want to be part of our exciting journey.
We think you need these skills to ace Data Analyst - London
Some tips for your application 🫡
Show Your Passion for Data:When you're writing your application, let your enthusiasm for data analysis shine through! We want to see how excited you are about using data to drive decisions and shape the future of our company.
Tailor Your Application:Make sure to customise your CV and cover letter to highlight relevant experience that matches the job description. We love seeing how your skills align with what we're looking for, so don’t hold back!
Be Clear and Concise:Keep your writing straightforward and to the point. We appreciate clarity, especially when it comes to complex data concepts. Remember, you’ll be communicating with non-technical stakeholders, so make it easy for us to understand your story.
Apply Through Our Website:We encourage you to submit your application directly through our website. It’s the best way for us to receive your details and ensures you’re considered for this exciting opportunity at Junior!
How to prepare for a job interview at Junior AI
✨Know Your Data Tools
Make sure you’re well-versed in the data tools mentioned in the job description, like Python, pandas, and any BI tools. Brush up on your skills and be ready to discuss how you've used these tools in past projects.
✨Understand the Business Impact
Since this role has a direct impact on product and sales strategies, come prepared with examples of how your data analysis has influenced business decisions in previous roles. Show them you can connect the dots between data and real-world outcomes.
✨Communicate Clearly
You’ll need to explain complex data insights to non-technical stakeholders. Practice telling a story with your data – think about how you can make your findings relatable and actionable for someone without a technical background.
✨Embrace Ambiguity
This role requires a self-directed approach, so be ready to discuss how you handle uncertainty. Share examples of how you’ve defined questions and driven projects forward even when the path wasn’t clear.
