Data & Systems Assistant — School Support (Part-Time)

Data & Systems Assistant — School Support (Part-Time)

Part-Time 12240 - 12240 £ / year (est.) No working from home possible
Blackdown Education Partnership

At a Glance

  • Tasks: Support student achievement by maintaining and analysing data.
  • Company: Join Blackdown Education Partnership, dedicated to enhancing education.
  • Benefits: Part-time hours during term time with a competitive salary.
  • Why this job: Make a real difference in students' lives through data-driven decisions.
  • Qualifications: Strong administrative and analytical skills required.

The predicted salary is between 12240 - 12240 £ per year.

Blackdown Education Partnership is looking for a part-time Data Team Assistant in Chard, Somerset. This position is ideal for individuals with strong administrative and analytical skills, who are committed to supporting student achievement. You will help maintain and analyze data to improve decision-making and outcomes.

The role requires 21 hours a week, primarily during term time, and offers a salary of approximately £12,240.

Data & Systems Assistant — School Support (Part-Time) employer: Blackdown Education Partnership

Blackdown Education Partnership is an excellent employer that values the contributions of its staff in fostering student success. With a supportive work culture and a commitment to professional development, employees are encouraged to grow their skills while making a meaningful impact in the educational sector. Located in the picturesque town of Chard, Somerset, this part-time role offers flexibility during term time, allowing for a balanced work-life experience.

Blackdown Education Partnership

Contact Details:

Blackdown Education Partnership Recruitment Team

StudySmarter Expert Advice🤫

We think this is how you could land Data & Systems Assistant — School Support (Part-Time)

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 Blackdown Education Partnership.

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 Blackdown Education Partnership 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 & Systems Assistant — School Support (Part-Time)

Administrative Skills
Analytical Skills
Data Maintenance
Data Analysis
Decision-Making Support
Attention to Detail
Time Management

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 Blackdown Education Partnership 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 Blackdown Education Partnership

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 Blackdown Education Partnership.

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 Blackdown Education Partnership.

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 Blackdown Education Partnership, 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 Blackdown Education Partnership 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.