Data-Driven Attendance & Exclusions Lead in London

Data-Driven Attendance & Exclusions Lead in London

London Full-Time 30000 - 40000 £ / year (est.) No working from home possible
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At a Glance

  • Tasks: Lead attendance improvement and manage suspensions across 59 schools.
  • Company: Lift Schools, dedicated to safeguarding and education for over 35,000 pupils.
  • Benefits: Competitive salary, professional development, and a chance to make a real difference.
  • Other info: Join a passionate team committed to improving student attendance and wellbeing.
  • Why this job: Drive positive outcomes for children and families through data-driven strategies.
  • Qualifications: Experience in education, strong leadership, and data analysis skills.

The predicted salary is between 30000 - 40000 £ per year.

Lift Schools is seeking an exceptional Attendance and Exclusion Lead to join our national safeguarding and Education team and support our trust-wide approach to attendance across our network of 59 schools, educating more than 35,000 pupils.

You will lead attendance improvement across schools, oversee suspensions and exclusions, and use data and coaching to drive lasting improvement.

Build trusted relationships with school leaders to deliver positive outcomes for children and families.

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Data-Driven Attendance & Exclusions Lead in London employer: Meadsteadprimaryacademy

Meadstead Primary Academy is an exceptional employer, offering a supportive and nurturing work environment for Early Years Educators. With a strong focus on professional development and community engagement, our nursery provides unique opportunities for growth while fostering meaningful relationships with children and families. Join us in making a positive impact in the lives of young learners in a vibrant and collaborative setting.

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Contact Details:

Meadsteadprimaryacademy Recruitment Team

StudySmarter Expert Advice🤫

We think this is how you could land Data-Driven Attendance & Exclusions Lead in London

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Apply Directly through Our Website

When you find a suitable opening like Data-Driven Attendance & Exclusions Lead at Meadsteadprimaryacademy, make sure to apply directly through our website. It gives you an edge and shows you're keen to join our team. Plus, who doesn’t love a direct application? It’s easier than navigating through job boards!

We think you need these skills to ace Data-Driven Attendance & Exclusions Lead in London

Data Analysis
Coaching Skills
Relationship Building
Leadership Skills
Attendance Management
Exclusion Oversight
Communication Skills

Some tips for your application 🫡

Show Off Your Projects:In the world of data science, your projects can speak volumes about your skills. Make sure to showcase a few key projects in your CV or portfolio, especially those that highlight your ability to work with data sets, build models, or use relevant tools like Python, R, or SQL. Don’t forget to include links to any GitHub repositories if applicable!

Quantify Your Achievements:Employers love numbers! When drafting your CV, highlight your achievements with quantifiable results. For instance, mention how your data analysis led to a certain percentage increase in efficiency or revenue at a previous job or project. These details can really make your application pop!

Craft a Tailored Cover Letter:For a full-time role at Meadsteadprimaryacademy, your cover letter should reflect your passion for data science and your excitement about the specific projects or values of the company. Dive into why you’re a good fit, how your skills align with their needs, and any unique perspectives you can bring to the team.

Stand Out with Relevant Courses and Certifications:Although experience talks, relevant courses or certifications can be your ticket to impressing hiring managers at Meadsteadprimaryacademy. Mention any standout courses you've completed that equipped you with essential skills, such as machine learning certifications or data visualisation courses. This shows your commitment to continuously developing your skills in the field!

How to prepare for a job interview at Meadsteadprimaryacademy

Brush Up on Your Statistics

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Get Comfortable with Python and R

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Prepare for Case Studies

Expect to encounter real-world case studies during the interview. We might be asked how we’d approach a data problem or analyse a dataset to extract insights. It's essential to think out loud and demonstrate our problem-solving process so that the interviewer can see our logical thinking in action.