At a Glance
- Tasks: Analyse survey data to create structured datasets for personalised student support.
- Company: Join the LSE Students' Union, a leader in student engagement and support.
- Benefits: Gain valuable experience, flexible hours, and a chance to make a difference.
- Other info: Opportunity to work in a dynamic environment with a focus on student insights.
- Why this job: Be part of an innovative initiative that directly impacts student experiences.
- Qualifications: Strong analytical skills and a passion for supporting fellow students.
The predicted salary is between 25650 - 31350 £ per year.
The Big Conversation is a pivotal initiative led by the LSE Students' Union (LSESU) for the 2026/27 enrolment period.
As part of our innovative approach to supporting students, we collect and analyse large volumes of survey data during the enrolment period.
This involves transforming complex survey responses into structured datasets that enable personalised communications and tailored support throughout Welcome and beyond.
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Student Data & Insight Analyst – Big Conversation in London employer: LSE Students' Union
At LSE Students' Union, we pride ourselves on being an exceptional employer that values innovation and student support. Our collaborative work culture fosters professional growth, offering employees the chance to develop their analytical skills while contributing to meaningful initiatives like the Big Conversation. Located in the heart of London, we provide a vibrant environment where your insights can directly impact the student experience.
StudySmarter Expert Advice🤫
We think this is how you could land Student Data & Insight Analyst – Big Conversation 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 Student Data & Insight Analyst – Big Conversation 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 LSE Students' Union 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 LSE Students' Union
✨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 LSE Students' Union.
✨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 LSE Students' Union that you’re not just looking for experience, but that you're keen to contribute and grow within the team.
