Graduate Outcomes & Projects Administrator (Part-time, Hybrid) in Uxbridge

Graduate Outcomes & Projects Administrator (Part-time, Hybrid) in Uxbridge

Uxbridge Part-Time 20000 - 25000 £ / year (est.) Home office (partial)
Brunel University of London

At a Glance

  • Tasks: Support graduate data submissions and coordinate the Graduate Kickstart Programme.
  • Company: Brunel University London, a vibrant hub for student and professional development.
  • Benefits: Flexible hybrid working, valuable experience, and a supportive team environment.
  • Other info: Part-time role with opportunities for growth and collaboration across the university.
  • Why this job: Make a difference in graduates' careers while developing your skills in a dynamic setting.
  • Qualifications: Strong organisational skills and a passion for supporting students.

The predicted salary is between 20000 - 25000 £ per year.

Brunel University London is seeking a proactive Graduate Outcomes and Project Administrator to join the Student and Professional Development team on a part-time basis. The role blends administration, data management and project coordination to support graduate data submissions to HESA and to coordinate the Graduate Kickstart Programme for recent Brunel graduates. You will collaborate with colleagues across the University to ensure data accuracy, timely reporting and clear communications.

Graduate Outcomes & Projects Administrator (Part-time, Hybrid) in Uxbridge employer: Brunel University of London

Brunel University of London is an exceptional employer, offering a dynamic work environment in Uxbridge that fosters academic excellence and innovation. With a strong emphasis on research-driven teaching, employees benefit from generous annual leave, comprehensive training opportunities, and a supportive community that encourages professional growth and collaboration.

Brunel University of London

Contact Details:

Brunel University of London Recruitment Team

StudySmarter Expert Advice🤫

We think this is how you could land Graduate Outcomes & Projects Administrator (Part-time, Hybrid) in Uxbridge

Get Involved in Data Challenges

Participate in data challenges like Kaggle competitions or DrivenData to showcase your skills and network with other data enthusiasts. Not only will you build your portfolio, but you can also catch the eye of potential employers like Brunel University of London.

Connect with Local Data Communities

Join local data science meetups or online communities like Data Science Society to engage with professionals in the field. These platforms are great for networking, discovering job opportunities, and keeping your fingers on the pulse of industry trends.

Leverage Your University’s Resources

If you're still in university, make full use of your career services. They might have part-time roles tailored for students like you, and often have direct connections with companies looking to hire talented interns in data science roles.

Apply Directly Through Our Website

Don’t forget to check out our jobs at Brunel University of London and apply through our website! It’s the best way to ensure your application gets seen. Plus, we love hearing from passionate individuals like us who are eager to make an impact in the data science world.

We think you need these skills to ace Graduate Outcomes & Projects Administrator (Part-time, Hybrid) in Uxbridge

Communication Skills
Problem-Solving Skills
Attention to Detail
SQL
Automation
Data Engineering
Python

Some tips for your application 🫡

Show Your Data Skills:In your CV, make sure to highlight your proficiency with key data analysis tools and programming languages like Python, R, or SQL. We want to see that you've got hands-on experience with data manipulation and visualisation, so if you've worked on any relevant projects or coursework, include those details to really showcase your skills!

Tailor Your Projects Towards Data Science:When it comes to your portfolio, focus on showcasing projects that highlight your data-science abilities. Include analyses, dashboards, or any predictive models you've built. If you've contributed to Kaggle competitions or have a GitHub repository with data projects, make sure to link those—these demonstrate your practical experience and problem-solving abilities.

Express Your Motivation in the Cover Letter:Since this is a part-time role, we want to know why you're particularly interested in juggling this with your other commitments. Use your cover letter to express your passion for data science and how this role at Brunel University of London aligns with your career aspirations. Show us you're excited about learning and growing with us!

Keep It Concise Yet Informative:Part-time positions often receive many applications, so keep your documents clear and to the point! Aim for a concise CV detailing your relevant experiences without unnecessary fluff. Be sure to include your availability in your cover letter as well—that helps us in the decision-making process!

How to prepare for a job interview at Brunel University of London

Brush Up on Your Stats!

Given you're eyeing a part-time role in data science, make sure you’re on top of your statistical methods and data analysis techniques. Expect questions around regression, hypothesis testing, and maybe even some statistical programming languages like R or Python during the interview with Brunel University of London.

Show Off Your Projects!

It's crucial to have a portfolio that showcases your data science projects. Highlight your part-time work with specific data sets, models you've built, or analyses you've conducted. Having tangible examples will demonstrate your hands-on experience and problem-solving skills to Brunel University of London.

Familiarise Yourself with Tools of the Trade

Make sure you’re well-versed in data science tools like Jupyter Notebook, Tableau, or SQL. You might get technical questions or even a practical test at Brunel University of London, so having a comfort level with these tools will definitely be an advantage.

Be Ready to Discuss Real-World Applications

Since this is a part-time role, employers at Brunel University of London will likely appreciate your understanding of how data science can address actual business problems. Be prepared to discuss any relevant case studies or how you would approach specific challenges in real scenarios.