Part-Time MIS Assistant: Data & Systems Support

Part-Time MIS Assistant: Data & Systems Support

Part-Time 20000 - 25000 £ / year (est.) No working from home possible
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At a Glance

  • Tasks: Support the MIS team by ensuring accurate student data and assisting with system usage.
  • Company: University Centre West Anglia, a supportive educational environment.
  • Benefits: Generous leave, pension scheme, training, and well-being support.
  • Other info: Part-time role with flexible hours and opportunities for personal growth.
  • Why this job: Join a dynamic team and make a difference in students' educational journeys.
  • Qualifications: Attention to detail and willingness to learn about data systems.

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

The University Centre West Anglia in King's Lynn is seeking a MIS Assistant for maternity cover. This part-time role (22.5 hours per week) involves working with the MIS team to ensure the accuracy of student data.

Responsibilities include:

  • Identifying data issues
  • Supporting the student data journey
  • Assisting staff with system usage

The position offers generous leave allowances, a contributory pension scheme, and various employee benefits including training and well-being support.

Part-Time MIS Assistant: Data & Systems Support employer: University Centre West Anglia

The University Centre West Anglia in King's Lynn is an excellent employer, offering a supportive work culture that prioritises employee well-being and professional development. With generous leave allowances, a contributory pension scheme, and a commitment to training, this part-time MIS Assistant role provides a meaningful opportunity to contribute to the accuracy of student data while enjoying a balanced work-life environment.

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Contact Details:

University Centre West Anglia Recruitment Team

StudySmarter Expert Advice🤫

We think this is how you could land Part-Time MIS Assistant: Data & Systems Support

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 University Centre West Anglia.

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 University Centre West Anglia 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 Part-Time MIS Assistant: Data & Systems Support

Data Accuracy
Data Issue Identification
Student Data Management
System Usage Support
Attention to Detail
Communication Skills
Team Collaboration

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 University Centre West Anglia 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 University Centre West Anglia

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 University Centre West Anglia.

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 University Centre West Anglia.

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 University Centre West Anglia, 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 University Centre West Anglia 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.