At a Glance
- Tasks: Own product and commercial analytics, driving insights for product and sales strategies.
- Company: Join a fast-growing, profitable AI-driven investment research company in London.
- Benefits: Competitive pay, equity options, and unique perks like summer work in Greece.
- Other info: Dynamic role with ownership, visibility, and excellent career growth opportunities.
- Why this job: Be the first data hire, shaping key decisions and making a real impact.
- Qualifications: Strong SQL and Python skills, with experience in data visualisation and CRM management.
The predicted salary is between 50000 - 70000 £ per year.
Junior AI seeks its first dedicated data hire to build the analytics foundation for a fast-growing, LLM-powered investment research product. The role owns product and commercial analytics—dashboards, churn and health scoring, CRM data quality, funnel analysis—and directly influences product, sales, and executive decisions.
You will own product and commercial analytics workstreams, produce executive reporting, and provide the signals that inform product prioritisation, customer success intervention, and sales strategy.
Key Responsibilities- Build feature adoption and engagement analyses to identify what drives retention and what is unused, segmented by firm type, user role, and tenure.
- Develop churn and customer health scoring models using product usage signals and surface at-risk accounts to Customer Success.
- Audit, clean, and enrich CRM data; build pipelines to synchronise CRM and product usage data for Sales.
- Perform sales funnel analysis from first touch to closed-won and identify where deals stall and what product behaviours predict conversion.
- Create automated executive reporting covering revenue, usage, pipeline health, and key anomalies.
- Strong data analytics skillset with hands-on SQL and Python for data wrangling, analysis, and visualization.
- Experience with Python libraries such as pandas and visualization tools like matplotlib or plotly.
- Experience using BI/dashboarding tools (Metabase, Looker, Tableau, or similar).
- Familiarity with product analytics platforms (Amplitude, Mixpanel, or equivalent) and event-level/funnel analysis.
- Experience working directly with CRM data and improving CRM data quality.
- Strong communication skills and ability to translate analysis into clear recommendations for non-technical commercial stakeholders.
- Self-directed, comfortable with ambiguity, and able to define analytical questions and implement solutions with high ownership.
- AI-forward experience: familiarity with “vibe coding” and using AI tools in workflows is a plus.
- Prior experience in B2B SaaS, fintech, or enterprise software where usage data is complex and customer segments vary.
- First data hire with real ownership and visibility; your work will shape product roadmap, sales strategy, customer success, and executive decisions.
- Join a profitable, bootstrapped company at ~$15M+ ARR that is scaling rapidly.
- Competitive pay and equity / strong equity package.
- In-office cook.
- Summers working in Greece by the beach.
- Data Analysis
- SQL
- Python
- Data Wrangling
- Data Visualization
- BI/Dashboarding
- Product Analytics
- CRM Data Management
- Funnel Analysis
- Churn & Health Scoring
- Executive Reporting
- Communication
- Storytelling with Data
- Self-direction
Data Analyst - London employer: Debtt Group
Join Junior AI as a Data Analyst in London, where you'll be at the forefront of shaping our analytics foundation for a cutting-edge investment research product. We offer a vibrant work culture that encourages innovation and ownership, competitive pay with equity options, and unique perks like summer work opportunities by the beach in Greece. With a focus on employee growth and a commitment to leveraging AI tools, this is an excellent opportunity for those looking to make a meaningful impact in a rapidly scaling company.
StudySmarter Expert Advice🤫
We think this is how you could land Data Analyst - London
✨Embrace Online Competitions
Get involved in online data science competitions like Kaggle or DrivenData. These platforms not only let you showcase your skills but also help you build a portfolio that stands out to hiring companies like Debtt Group when you're aiming for that entry-level role.
✨Join Data Science Meetups
Look for local data science meetups or workshops happening in your area. These are perfect for connecting with industry professionals and fellow newbies, giving us the chance to learn the ropes and get our foot in the door at companies like Debtt Group.
✨Networking Through University Career Services
Don't forget to leverage your university's career services! They often have exclusive internships and networking events specifically for entry-level data science positions. This is a golden opportunity to meet recruiters from companies like Debtt Group.
✨Spotlight Your Skills Online
Create a strong online presence by sharing your projects and insights on platforms like GitHub or LinkedIn. Make sure to apply directly through Debtt Group’s career page, where your unique skills can shine in their entry-level data science openings!
We think you need these skills to ace Data Analyst - London
Some tips for your application 🫡
Show Off Your Data Skills:As you're aiming for an entry-level data science role at Debtt Group, don't forget to highlight your proficiency in programming languages like Python or R. Dive into your CV and mention any relevant projects or coursework that demonstrate your data analysis skills or machine learning knowledge.
Include Relevant Projects:If you've done any data-related projects, whether in your studies or during a personal quest, showcase them in a portfolio. This gives us a tangible sense of your capabilities and shows your hands-on experience with data manipulation, visualisation, or model building.
Tailor Your Cover Letter:When crafting your cover letter, make sure to express your enthusiasm for data science and how this role at Debtt Group aligns with your career goals. Consider sharing why you’re drawn to data-driven decision-making and how you see yourself growing in this field.
Show Your Curiosity:In the data science world, curiosity is key! Mention any online courses or certifications you've pursued that complement your studies. This could be anything from a statistics certification to a data visualisation workshop. It shows us you're serious about learning and growing in this field.
How to prepare for a job interview at Debtt Group
✨Brush Up on Your Statistics
For a data science role, the interview may involve some statistical questions or problems. Make sure you're comfortable with concepts like probability, distributions, and hypothesis testing. This will not only help you answer questions but also show your analytical thinking.
✨Get Hands-On with Tools
Familiarise yourself with popular data science tools like Python, R, and SQL. If you're asked about specific projects, be ready to discuss the tools you used and how they contributed to your analysis. Showing that you not only know the theory but can apply it is essential!
✨Showcase Relevant Projects
As an entry-level candidate, your portfolio is crucial. Bring along examples of data projects you've worked on, whether during your studies or personal projects. Discuss the challenges you faced and how you overcame them, highlighting your problem-solving skills.
✨Prepare for Case Studies
Entry-level interviews in data science often include case studies where you'll have to analyse a dataset or solve a problem on the spot. Try out some practice case studies beforehand, so you're not caught off guard. It's all about displaying your thought process and how you tackle data-driven challenges!
