Part-Time Trust Data Manager for School Performance

Part-Time Trust Data Manager for School Performance

Part-Time 19350 - 23650 Β£ / year (est.) No working from home possible
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At a Glance

  • Tasks: Lead data management and analysis to support school improvement and decision-making.
  • Company: Greensand Multi Academy Trust, dedicated to enhancing educational performance.
  • Benefits: Flexible part-time hours, term-time work, and a supportive team environment.
  • Other info: Opportunity to work in a dynamic educational setting with potential for growth.
  • Why this job: Make a real difference in education by driving data-driven improvements.
  • Qualifications: Strong analytical skills and experience with data management tools.

The predicted salary is between 19350 - 23650 Β£ per year.

Greensand Multi Academy Trust is seeking a methodical, analytical Trust Data Manager to lead data development, management and analysis across our Trust of schools, supporting decision-making, school improvement and statutory compliance.

This part-time term-time role (1-2 days/week, 38 weeks/year) is based in the Trust office at Reigate School.

You will manage Arbor MIS, develop reporting, create dashboards for leaders and trustees, and drive data-driven improvements using Excel, Power BI and AI.

Part-Time Trust Data Manager for School Performance employer: Greensand Multi Academy Trust

Greensand Multi Academy Trust is an exceptional employer that values methodical and analytical thinkers, offering a supportive work culture focused on school improvement and data-driven decision-making. With flexible part-time hours and a commitment to employee growth, you will have the opportunity to make a meaningful impact in education while enjoying a collaborative environment at our Reigate office.

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Contact Details:

Greensand Multi Academy Trust Recruitment Team

We think you need these skills to ace Part-Time Trust Data Manager for School Performance

Data Management
Data Analysis
Excel
Power BI
Dashboard Creation
Arbor MIS
Methodical Approach