At a Glance
- Tasks: Analyse data, manage exams, and create timetables for a thriving secondary school.
- Company: Outstanding secondary academy in Ealing with a supportive environment.
- Benefits: Permanent position with term-time hours and a positive work culture.
- Other info: Opportunity for professional growth in a highly regarded school.
- Why this job: Join a dedicated team and make a real difference in students' education.
- Qualifications: Experience in data management and strong organisational skills required.
The predicted salary is between 30000 - 40000 £ per year.
We are seeking an experienced Exams, Systems and Data Manager to join a large Secondary Academy in the borough of Ealing on a temp – perm basis from September 26.
The role involves:
- Carrying out in-depth analysis throughout the year of attainment and progress.
- Producing staff, student, faculty and whole school timetables.
- Managing the school's busy exams periods.
- Managing school cover in line with the school's covering staff absence policy.
- Supporting the Finance Manager in relation to the school's census.
You will need to have excellent organisation and communication skills, be able to work effectively under pressure, and have the ability to meet tight deadlines.
This role is available with a September start and is offered on a temp to perm basis.
The school is heavily oversubscribed and is rated outstanding by Ofsted. It is a calm and purposeful place where good manners and good behaviour are considered essential. Staff have high expectations for students and pupil behaviour is good. The senior leadership is committed to ensuring there is high quality teaching in a safe and friendly environment.
Data, Systems and Exams Manager in London employer: Philosophy Education
Join our outstanding secondary academy in Ealing, where we prioritise a supportive and collaborative work culture that fosters professional growth. As a Data, Systems and Exams Manager, you will benefit from a term-time schedule, allowing for a healthy work-life balance, while contributing to a school environment that values excellence and high expectations for both staff and students. With opportunities for development and a commitment to quality education, this role offers a meaningful and rewarding career path in a vibrant community.
StudySmarter Expert Advice🤫
We think this is how you could land Data, Systems and Exams Manager in London
✨Tap into Online Data Science Communities
Join online communities focused on data science like Kaggle, LinkedIn groups, or Reddit threads. These are goldmines for temporary gigs, as you can network with professionals and potentially hear about opportunities at companies like Philosophy Education before they're even advertised!
✨Show Off Your Skills With Projects
Got some cool data science projects? Showcase them on platforms like GitHub or create a personal portfolio website. This visibility is crucial for landing temporary roles—let recruiters see your actual skills in action, which can set you apart from the crowd.
✨Check Out Specialist Job Boards
For temp roles, hit up job boards dedicated to tech and data science, like Stack Overflow Jobs or DataJobs. These platforms often feature openings that you won’t find on general job sites, including contracts with companies like Philosophy Education.
✨Leverage University Resources
If you're currently at uni or recently graduated, tap into your school's career services. They often have connections with companies looking for temporary data science interns or contract workers, and they might even host job fairs with employers like Philosophy Education.
We think you need these skills to ace Data, Systems and Exams Manager in London
Some tips for your application 🫡
Highlight Your Data Projects:When applying for a temporary data science role at Philosophy Education, make sure to showcase any relevant projects you've worked on. Whether it's a personal project, an academic undertaking, or contributions to an open-source initiative, detailing these experiences can really set you apart and demonstrate your practical skills.
Emphasise Your Analytical Skills:In your CV and cover letter, focus on the specific analytical skills that are key to data science. Mention any experience with statistical tools, programming languages like Python or R, and data visualisation software. Don't forget to include any certifications that may bolster your expertise!
Show Your Flexibility:Since this is a temporary role, it's important to convey your adaptability and willingness to learn. In your cover letter to Philosophy Education, emphasise how quickly you can get up to speed with new tools or projects. Highlight any previous experiences where you've had to adjust to new environments or challenges.
Craft a Unique Data-Driven Cover Letter:Instead of the usual generic cover letter, spice it up with some data! Maybe you’ve improved a process by 20% in a past role or cleaned a dataset with over a million entries. Use these stats to your advantage to grab Philosophy Education’s attention and show the tangible impact of your work.
How to prepare for a job interview at Philosophy Education
✨Showcase Your Analytical Skills
For a data science gig, it's crucial to demonstrate your analytical abilities. Be ready to discuss previous projects and the methodologies you used. Think about how you can quantify your impact—did your analysis improve efficiency or save costs? These are the stories that will stick with interviewers at Philosophy Education.
✨Brush Up on Technical Skills
You might face technical questions on tools relevant to data science, like Python, R, or SQL. Prepare to solve a problem live—perhaps they'll ask you to write a simple query or code snippet. It’s cool to talk about them, but we need to show we can do it in practice, especially in a temporary role where quick results matter.
✨Highlight Your Adaptability
Since this is a temporary position, emphasise your ability to learn quickly and adapt to new tools or workflows. Share examples of how you've thrived in fast-paced environments before, and how you can hit the ground running at Philosophy Education.
✨Prepare a Portfolio of Your Work
Bring your portfolio to the table—showcase projects where you've leveraged data science techniques to solve problems. Whether it’s a GitHub repository or a set of case studies, having tangible examples of your work will help you stand out and show what you bring to the team at Philosophy Education.
