At a Glance
- Tasks: Analyse data, develop dashboards, and support strategic decision-making at Brunel University.
- Company: Brunel University of London, a leading multidisciplinary research-intensive technology university.
- Benefits: Generous leave, training opportunities, hybrid working, and a great pension scheme.
- Other info: Collaborative team environment with excellent career development prospects.
- Why this job: Gain hands-on experience with real-world data and contribute to innovative projects.
- Qualifications: Recent Brunel graduate with a degree in Computer Science or related field.
The predicted salary is between 27757 - 27757 £ per year.
This is an exciting opportunity to gain hands-on experience supporting University decision-making through data analysis, dashboard development, and business intelligence tools. You’ll be part of a collaborative, forward-thinking team and gain valuable experience working with real-world data to support strategic decision-making across the University.
About the role:
- Analyse key datasets (e.g. league tables and student outcomes) to inform strategic decisions.
- Support and develop Tableau dashboards and Alteryx workflows.
- Respond to ad hoc data requests and deliver clear insights to stakeholders.
- Contribute to innovative projects, including exploring the use of AI in business processes.
About you:
- A recent Brunel graduate.
- Degree in Computer Science or related discipline, with strong analytical skills.
- Interest or experience in data analysis, visualisation, or ETL processes.
- A proactive, detail-oriented team player with excellent communication skills.
We offer a generous annual leave package plus discretionary University closure days, excellent training and development opportunities as well as a great occupational pension scheme and a range of health-related support. The University is committed to a hybrid working approach.
Closing date for applications: Thursday 2 July. Interviews will take place on Monday 13 July, in person. Employment to start the week of Tuesday 1 September, in person.
All Applicants should be eligible to live and work in the UK for the duration of any offer of appointment. Brunel University of London has a strong commitment to equality, diversity and inclusion. Our aim is to promote and achieve a fully inclusive workforce to reflect our community.
Graduate Intern (Data Analyst) in London employer: Brunel University London
Brunel University of London is an exceptional employer, offering a dynamic and inclusive work environment that fosters collaboration and innovation. As a Graduate Intern (Data Analyst), you will benefit from comprehensive training and development opportunities, a generous annual leave package, and the chance to work with cutting-edge data analysis tools in a supportive team. Located at the Uxbridge Campus, you'll be part of a forward-thinking institution dedicated to making a positive impact on society through research and education.
StudySmarter Expert Advice🤫
We think this is how you could land Graduate Intern (Data Analyst) in London
✨Join Data-Science Meetups
Get yourself along to local data-science meetups or workshops. They're goldmines for networking, and you'll learn from industry pros who might just point you in the direction of internships. Plus, discussing the latest trends with like-minded individuals can really amp up your game.
✨Utilise University Career Services
Check in with your uni's career services since they often have connections with companies looking for interns. They might even organise information sessions with firms, which can be a great chance for you to learn more about potential internships and make some key contacts.
✨Show Off Your Stuff on GitHub
If you're into data science, having a GitHub profile with your projects is essential. Make sure your portfolio is public and showcases your best work! Recruiters love to see your coding skills and problem-solving approach, and it’s a brilliant way to stand out.
✨Apply Directly on Our Website
Don’t forget to check out the internships listed on our site! It's always a good idea to apply directly through our website because it makes your application easier for our team to find, and you might just catch the hiring manager’s eye by showcasing exactly what you're passionate about in data science.
We think you need these skills to ace Graduate Intern (Data Analyst) in London
Some tips for your application 🫡
Show Off Your Technical Skills:For a data science internship, we want to see those analytical skills shine! List your programming languages, like Python or R, and make sure to highlight any relevant projects or courses you've completed. If you've dabbled with tools like Pandas, NumPy, or machine learning algorithms, don’t hold back – include those in your CV!
Share Your Curiosity in Your Cover Letter:As an intern, your motivation and eagerness to learn are key! In your cover letter, talk about specific data science concepts that excite you and how this internship at Brunel University London will help you grow. Share what you hope to achieve and how you plan to tackle real-world data problems - we love enthusiasm!
Include Any Relevant Certifications:If you've earned any certifications, such as from Coursera or DataCamp, make sure to include these in your application. They show us that you're proactive and committed to expanding your data science skillset. This could make a real difference in how we assess your application!
Keep It Relevant and Concise:Remember, as an intern, you don’t need to have decades of experience. Focus on showcasing relevant coursework, personal projects, or even related volunteer work in data science. Keep your CV and cover letter concise but impactful – we appreciate clear and straightforward communication!
How to prepare for a job interview at Brunel University London
✨Brush Up on Your Coding Skills
As a data science intern, you might get grilled on your programming skills. Expect to tackle some coding challenges using languages like Python or R. We recommend practising basic algorithms or data manipulation tasks so you can show off your tech skills with confidence.
✨Show Off Your Projects
Prepare to discuss any projects you’ve done, whether in your studies or on your own time. Having a strong portfolio of data analyses or machine learning models will really set you apart. We can use platforms like GitHub to showcase your work to impress Brunel University London.
✨Know Your Stats and ML Basics
Brush up on your statistics and machine learning concepts because interviewers love to dig into this! Be ready to explain your understanding of algorithms or how you would approach a given data problem. This will highlight your theoretical background alongside your practical skills.
✨Be Eager to Learn and Adapt
Internships are all about potential and growth. Make sure you convey your eagerness to learn and adapt to new tools or methodologies. Show Brunel University London that you’re not just looking for experience, but that you're keen to contribute and grow within the team.
