Data & Admin Assistant — Flexible Hours, Casual Role

Data & Admin Assistant — Flexible Hours, Casual Role

Part-Time 13.8 - 13.8 £ / hour (est.) No working from home possible
Job Search Place Limited

At a Glance

  • Tasks: Support data migration and maintain accurate records in a dynamic team environment.
  • Company: Job Search Place Limited, a supportive workplace in Dacorum.
  • Benefits: Earn £13.59 - £13.80 per hour, enjoy generous holidays and a great pension scheme.
  • Why this job: Perfect for students seeking flexible hours while gaining valuable experience.
  • Qualifications: Strong literacy, numeracy, and IT skills; teamwork is essential.

The predicted salary is between 13.8 - 13.8 £ per hour.

Job Search Place Limited is looking for candidates for a zero hours casual role in the Planning Department's Business Support Team in Dacorum. You will support the migration of Local Land Charges data and ensure accurate maintenance and processing.

The ideal candidate will have strong literacy, numeracy, and IT skills, being able to work effectively in a team. This role suits students or those seeking flexible work hours and offers a pay rate of £13.59 - £13.80 per hour, along with generous holidays and an excellent pension scheme.

Data & Admin Assistant — Flexible Hours, Casual Role employer: Job Search Place Limited

Job Search Place Limited is an excellent employer, offering a flexible and casual role that perfectly suits students or those seeking adaptable work hours. With a supportive work culture, generous holiday allowances, and a robust pension scheme, employees are encouraged to grow and thrive within the Planning Department's Business Support Team in Dacorum.

Job Search Place Limited

Contact Details:

Job Search Place Limited Recruitment Team

StudySmarter Expert Advice🤫

We think this is how you could land Data & Admin Assistant — Flexible Hours, Casual Role

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 Job Search Place Limited.

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 Job Search Place Limited 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 Data & Admin Assistant — Flexible Hours, Casual Role

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

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 Job Search Place Limited 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 Job Search Place Limited

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 Job Search Place Limited.

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 Job Search Place Limited.

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 Job Search Place Limited, 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 Job Search Place Limited 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.