Part-Time Data & Admin Support Specialist

Part-Time Data & Admin Support Specialist

Part-Time 12 - 15 £ / hour (est.) Home office (partial)
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At a Glance

  • Tasks: Maintain database accuracy and support Fostering Teams while collaborating with social workers.
  • Company: Staffordshire County Council, dedicated to community service and support.
  • Benefits: Flexible hybrid work, set office days, and a supportive team environment.
  • Other info: Join a dynamic team focused on service delivery and professional growth.
  • Why this job: Make a difference in the community while gaining valuable administrative experience.
  • Qualifications: GCSEs in English and Maths, strong organisational skills, and minute-taking experience.

The predicted salary is between 12 - 15 £ per hour.

Staffordshire County Council is seeking a part-time business support administrator based in Acton Gate. You will play a key role in maintaining database accuracy, support Fostering Teams, and collaborate closely with social workers.

Successful candidates will have GCSEs in English and Maths, strong organisational skills, and experience in minute taking. The role is hybrid with set office days on Wednesday, Thursday, and Friday, emphasizing a commitment to team support and service delivery.

Part-Time Data & Admin Support Specialist employer: Staffordshire County Council

Staffordshire County Council is an excellent employer that values its employees by offering a supportive work culture and flexible hybrid working arrangements. With a focus on professional development, staff have access to training opportunities that foster growth within the organisation, making it a rewarding place to contribute to community service while enjoying a balanced work-life environment.

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Contact Details:

Staffordshire County Council Recruitment Team

StudySmarter Expert Advice🤫

We think this is how you could land Part-Time Data & Admin Support Specialist

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 Staffordshire County Council.

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 Staffordshire County Council 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 Data & Admin Support Specialist

Attention to Detail
Communication Skills
Problem-Solving Skills
Time Management
Organisational Skills
Teamwork
Flexibility

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 Staffordshire County Council 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 Staffordshire County Council

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 Staffordshire County Council.

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 Staffordshire County Council.

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 Staffordshire County Council, 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 Staffordshire County Council 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.