School Data & Reporting Lead (Part-Time) in Carlisle

School Data & Reporting Lead (Part-Time) in Carlisle

Carlisle Part-Time 15000 - 20000 £ / year (est.) No working from home possible
Cumbria

At a Glance

  • Tasks: Manage data and support examinations while ensuring accuracy and organisation.
  • Company: Join a supportive team in a well-established school environment.
  • Benefits: Part-time hours, staff wellbeing programs, and a friendly atmosphere.
  • Other info: Adhere to safeguarding protocols to ensure student safety.
  • Why this job: Make a difference in students' lives while developing your administrative skills.
  • Qualifications: Organisational skills and attention to detail; school experience is a plus.

The predicted salary is between 15000 - 20000 £ per year.

Cumbria is seeking a Data Administrator for its established team in Carlisle. This role involves data management and examination support, requiring both organizational skills and attention to detail. The successful candidate will work part-time, helping with administrative tasks while benefiting from various staff wellbeing programs. Previous school experience is an advantage. Applications are welcomed but must adhere to safeguarding protocols, ensuring the safety of students.

School Data & Reporting Lead (Part-Time) in Carlisle employer: Cumbria

Cumbria offers a supportive and inclusive work environment for the School Data & Reporting Lead role in Carlisle, where staff wellbeing is prioritised through various programmes. Employees are encouraged to grow professionally, with opportunities for development and training tailored to enhance their skills in data management and administration. Joining our team means being part of a dedicated community focused on safeguarding students while fostering a culture of collaboration and respect.

Cumbria

Contact Details:

Cumbria Recruitment Team

StudySmarter Expert Advice🤫

We think this is how you could land School Data & Reporting Lead (Part-Time) in Carlisle

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 Cumbria.

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 Cumbria 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 School Data & Reporting Lead (Part-Time) in Carlisle

Data Management
Organizational Skills
Attention to Detail
Administrative Skills
Examination Support
Safeguarding Protocols
Previous School Experience

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 Cumbria 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 Cumbria

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 Cumbria.

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 Cumbria.

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 Cumbria, 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 Cumbria 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.