At a Glance
- Tasks: Analyse complex datasets to uncover insights and support innovative insurance products.
- Company: Join Stubben Edge, a fintech on a mission to simplify financial services.
- Benefits: 25 days holiday, training opportunities, and a chance to grow your career.
- Other info: Work in a dynamic environment with a focus on learning and development.
- Why this job: Make a real impact in the financial sector with data-driven decisions.
- Qualifications: Recent graduate in a quantitative field with strong analytical skills.
The predicted salary is between 28000 - 38000 £ per year.
Stubben Edge’s mission is to make financial services simple, affordable, and accessible. We’re looking for a Data Analyst to join our team in a hands-on role, responsible for deriving actionable insights from data to support the design, analysis, and management of our innovative insurance products.
What you’ll do:
- Analyse large and complex datasets to identify trends, patterns, and insights into customer behaviour and product performance.
- Design, build, and maintain reports and dashboards to monitor key performance indicators for our products and markets.
- Collaborate closely with our Product, Engineering, and Sales teams to support their data needs and help them make data-driven decisions.
- Ensure the accuracy and integrity of the data within our core platforms, including FlightDeck.
- Translate data-driven insights into clear and compelling reports and presentations for stakeholders.
- Support the entire product lifecycle with robust data analysis, from initial research and development to launch and ongoing performance management.
What we’re looking for:
- A recent graduate with a 2:2 degree or above in a quantitative field such as Data Science, Engineering, Computer Science, Economics, Mathematics, Statistics, or a related discipline.
- A strong academic background with demonstrated analytical and problem-solving skills.
- An excellent communicator, comfortable with explaining complex data to both technical and non-technical audiences.
- Some relevant work experience (such as an internship, placement, or graduate-level role) is highly desirable.
- A keen interest in applying data to solve business problems, particularly within the insurance and financial services industry.
- Strong organisational skills and high attention to detail.
- Proactive, intellectually curious, and eager to learn in a fast-paced environment.
- Must have the right to work in the UK and be able to work from our London office 3 days a week.
What we offer:
- 25 days’ holiday plus bank holidays.
- A 37.5-hour working week.
- Comprehensive training, development opportunities, and the chance to grow your career in a fast-moving fintech.
If you’re ambitious, data-driven, and ready to build your career in financial services, we’d love to hear from you.
Graduate Data Analyst in Slough employer: Stubben Edge
Stubben Edge is an exceptional employer that prioritises the growth and development of its employees, offering comprehensive training and career advancement opportunities in the dynamic fintech sector. With a collaborative work culture based in London, employees enjoy a supportive environment where data-driven insights directly influence innovative insurance products, all while benefiting from generous holiday allowances and a balanced work-life schedule.
StudySmarter Expert Advice🤫
We think this is how you could land Graduate Data Analyst in Slough
✨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 Stubben Edge 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 Stubben Edge.
✨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 Stubben Edge.
✨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 Stubben Edge’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 Data Analyst in Slough
Some tips for your application 🫡
Show Off Your Data Skills:As you're aiming for an entry-level data science role at Stubben Edge, 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 Stubben Edge 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 Stubben Edge
✨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!
