At a Glance
- Tasks: Build and maintain Tableau reports, clean data from BigQuery and GA4 for analysis.
- Company: Join Quantum's growing Commercial Insights team in London, where data drives business decisions.
- Benefits: Enjoy private health care, hybrid working, and a competitive salary with a bonus scheme.
- Other info: Work in a fast-paced team setting with regular happy hours and team lunches.
- Why this job: Kickstart your analytics career with hands-on experience from day one in a high-growth environment.
- Qualifications: Recent degree in maths or science; exposure to Excel or SQL is preferred.
The predicted salary is between 25000 - 32000 £ per year.
The role Our Commercial Insights team is growing! We're looking for a Graduate Commercial Insights Analyst to join our team in London. This is where an analytics career starts. You'll learn how a high-growth business really runs on data, working alongside experienced analysts on the numbers that shape commercial decisions.
- Learn the full Quantum data stack, from BigQuery and SQL through to Tableau and GA4
- Get hands‑on with real business data from week one, not hypotheticals
- See your analysis reach the commercial, marketing, and product teams who act on it
- Build the foundations to grow into a Commercial Insights Analyst
Key responsibilities:
- Build and maintain reports and dashboards in Tableau with guidance from senior analysts
- Pull and clean data from BigQuery and GA4 to support recurring analysis
- Run first‑pass analysis on customer acquisition, conversion, and retention metrics
- Turn findings into clear, simple summaries for commercial, marketing, and product teams
- Learn Quantum's analytics practices and data stack, building toward owning your own areas
About you:
- A recent or upcoming degree in a maths or science based subject
- A genuine interest in data and the commercial decisions it drives, with some hands‑on exposure to Excel or SQL through study, a placement, or personal projects
- Curious by nature, keen to understand why the numbers move the way they do
- Strong written and verbal communication, able to explain findings simply
- Organised and reliable, able to manage your own tasks and hit deadlines
- You thrive when working as part of a team
- Comfortable in a fast‑paced environment
- Have excellent written and verbal English skills
- Last but not least, you'll have no ego!
What You’ll Get:
- Private Health Care (Bupa)
- Hybrid Working (3 days in office)
- Travel Insurance
- Competitive Base Salary
- Company Bonus Scheme
- Paid for AI Subscription (Claude / ChatGPT / Gemini)
- Market‑Leading Training Programme
- Recognition & Reward Scheme
- Annual Company Conference
- Regular Happy Hours & Team Lunches
- Free Coffee, Drinks & Snacks
Graduate Commercial Insights Analyst employer: Quantum Recruitment
Quantum offers a market-leading training programme and private health care through Bupa. Located in London, the team thrives on collaboration and data-driven insights, ensuring every analyst's contributions are valued and impactful.
StudySmarter Expert Advice🤫
We think this is how you could land Graduate Commercial Insights Analyst
✨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 Quantum Recruitment 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 Quantum Recruitment.
✨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 Quantum Recruitment.
✨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 Quantum Recruitment’s career page, where your unique skills can shine in their entry-level data science openings!
We think you need these skills to ace Graduate Commercial Insights Analyst
Some tips for your application 🫡
Show Off Your Data Skills:As you're aiming for an entry-level data science role at Quantum Recruitment, 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 Quantum Recruitment 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 Quantum Recruitment
✨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!
