At a Glance
- Tasks: Use data to amplify student voices and enhance the student experience.
- Company: Join Kingston Students' Union, a vibrant community focused on student engagement.
- Benefits: Earn £13.85 per hour while gaining valuable experience in data analysis.
- Other info: Open to current Kingston University students; great opportunity for skill development.
- Why this job: Make a real impact by turning student feedback into meaningful insights.
- Qualifications: Passion for data and interest in student engagement are key.
The predicted salary is between 13 - 14 £ per hour.
Please note: This role is open to current Kingston University students only.
Rate from £13.85
Are you passionate about using data to amplify student voices and make a meaningful difference to the student experience? Kingston Students’ Union (KSU) is looking for a Data & Insight Assistant (Student Voice) to support how we collect, understand and act on student feedback and engagement data.
Working within the Student Voice & Insight Team, you’ll play an important role in helping KSU understand the experiences, views and needs of our students. Working closely with the Student Voice & Insight Manager and Research Analyst, you’ll support the development of effective student voice and feedback systems, maintain and develop student engagement data, and help turn data into meaningful insights that strengthen student representation.
This is an exciting opportunity for someone who enjoys working with data, is interested in student voice and engagement, and wants to develop their skills in data analysis and visualisation. You’ll work collaboratively with colleagues across the Union and the wider university, helping ensure that student feedback and insight can inform evidence-based decision making and contribute to positive change for students.
Not sure you tick every box? If you think you have what it takes to join our team but don’t meet every point in the job description or person specification, we’d still love to hear from you. Let’s have a chat to explore how your skills, experience and interest in data could help us strengthen student voice and make a difference for our members.
Data and Insight Assistant (Student Voice) employer: Kingstonstudents
At Kingston Students' Union, we pride ourselves on fostering a vibrant and inclusive work culture that empowers our employees to thrive. As a Sports Activities Assistant, you'll not only gain invaluable experience in sports leadership and event management but also enjoy the unique advantage of working within a supportive community dedicated to enhancing student life. With opportunities for personal growth and development, we encourage all team members to bring their passion and creativity to the forefront, making a meaningful impact on our student community.
StudySmarter Expert Advice🤫
We think this is how you could land Data and Insight Assistant (Student Voice)
✨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 Data and Insight Assistant (Student Voice)
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 Kingstonstudents 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 Kingstonstudents
✨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 Kingstonstudents.
✨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 Kingstonstudents that you’re not just looking for experience, but that you're keen to contribute and grow within the team.
