Data Officer- Prendergast School

Data Officer- Prendergast School

Part-Time 22189 - 22866 £ / year (est.) On-site
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At a Glance

  • Tasks: Manage data systems and lead analysis to support teaching and learning.
  • Company: Prendergast School, a leader in girls' education with an Outstanding OFSTED rating.
  • Benefits: Competitive salary, flexible working arrangements, and ongoing professional development.
  • Other info: Join a supportive community with excellent career growth opportunities.
  • Why this job: Make a real impact on student success through high-quality data management.
  • Qualifications: Experience in data management and a commitment to student achievement.

The predicted salary is between 22189 - 22866 £ per year.

An exciting opportunity has arisen for a Data Officer to join Prendergast School. The successful candidate will play a central role in managing the school’s Management Information System (Bromcom) and leading data collection, statistical analysis, and statutory reporting to support high-quality teaching, learning, and operational effectiveness across the school.

You will have experience of working in data management and demonstrate a commitment to supporting student progress and achievement through high-quality data analysis. You will be a self-motivated, solution-focused team player, able to use your own initiative, manage your time under pressure, and demonstrate a commitment to the school’s ethos, aims, and its whole community.

Salary: SO1 (points 23 – 25) £41,739 - £43,014 pro-rata Actual Salary: £22,189 - £22,866

Hours: 21 hours per week, 40 weeks per year (term time only + 5 INSET Days + one week during summer closure, to include GCSE and A level results days)

Prendergast School is a beacon of educational excellence. We've led girls' education in Lewisham for over 130 years, and our mixed 6th Form continues to grow in popularity. We are proud to have achieved our fourth consecutive Outstanding OFSTED rating in March 2025. This exceptional track record is a testament to our commitment to both our students and staff.

As part of the Leathersellers’ Federation of Schools, you’ll benefit from a powerful network of support and resources. We are not just outstanding in academics—we also hold the NACE Award, the Wellbeing Award, and the Gold Artsmark Award, reflecting our holistic commitment to staff and student development.

We invest in our people. That’s why we are committed to providing meaningful and ongoing Continuing Professional Development (CPD), from a comprehensive and supportive induction to a rich and varied CPD program across the school and Federation. You will also take part in the school's appraisal policy, appraising staff as required and using the process to develop their professional effectiveness.

We also recognise the importance of work-life balance. We are genuinely committed to finding flexible working arrangements that suit you and the role. We encourage all candidates to discuss their needs with us during the recruitment process.

The Leathersellers’ Federation of Schools is committed to safeguarding and promoting the welfare of children and young people and expects all staff and volunteers to share this commitment. All offers of employment are subject to satisfactory references, qualifications, experience checks, medical clearance, enhanced DBS checks, social media checks and documentary evidence showing your entitlement to work in the UK.

Data Officer- Prendergast School employer: Borough of Lewisham

The Borough of Lewisham is an exceptional employer, offering a supportive work culture that prioritises the well-being of both employees and the children they serve. With excellent training opportunities and a strong emphasis on collaboration, staff are empowered to grow professionally while making a meaningful impact in the community. Working in Lewisham not only provides a chance to contribute to service development but also fosters a sense of belonging through various supportive networks.

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Contact Details:

Borough of Lewisham Recruitment Team

StudySmarter Expert Advice🤫

We think this is how you could land Data Officer- Prendergast School

✨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 Borough of Lewisham.

✨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 Borough of Lewisham 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 Officer- Prendergast School

Data Management
Statistical Analysis
Bromcom
Data Collection
Reporting Skills
Time Management
Problem-Solving 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 Borough of Lewisham 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 Borough of Lewisham

✨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 Borough of Lewisham.

✨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 Borough of Lewisham.

✨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 Borough of Lewisham, 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 Borough of Lewisham 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.