Inspired Education Group

Data analyst in education

In short

A data analyst role at a global group of premium private schools, owning data quality, analysis and Power BI reporting across enrolment, admissions, finance and academic performance. The company is a large, multi-country education group operating a matrix organisation. Requires 3+ years in data analytics, expert SQL, and Power BI/DAX/Azure Analysis Services skills with attention to GDPR-compliant data segmentation. Office-based in London, full-time, senior level.

About
Inspired Education is the leading global group of premium schools, with a portfolio of 126 premium private schools in 28 countries spanning 6 continents which utilise proven educational practices from every corner of the globe, ensuring over 95,000 students receive a world-class learning experience from Kindergarten to Year 13.
Responsibilities
•Own data quality, analysis and forecasting across school systems, supporting enrolment, recruitment and planning.
•Partner with Data, Admissions, Finance and Engineering teams to maintain accurate, accessible and reliable data.
•Provide data-driven insights and Power BI reporting to improve customer acquisition and marketing performance.
•Develop analytics capabilities across customer journeys, digital performance and attribution.
•Support the management of academic KPIs, governance standards and reporting consistency across the global school network.
•Deliver analysis, data modelling and system integrations to enhance educational performance reporting.
•Build Power BI dashboards and executive reporting that provide clear visibility of academic performance and trends.
•Combine multiple data sources to support evidence-based decision-making across the Group.
•Work closely with school, regional and functional teams to improve reporting, systems and data capabilities.
•Train and support users, translating complex data into clear, actionable recommendations.
Requirements
•3+ years in a data analytics role
•SQL: expert knowledge and practical experience with de-normalisation, time series and materialised views
•Experience of working in a large, matrix organisation
•Data visualisation with Power BI, DAX and Azure Analysis Services, considering access control, filtering and data protection segmentation aligned with GDPR
•Code or no-code ETL background, including data cleansing, data integrity and troubleshooting
•Strong understanding of data modelling, data governance and master data management principles, applied to enterprise and academic reporting
Nice to have
•Experience of implementing or integrating education systems, student information systems or assessment platforms
•Experience with Microsoft Fabric, Databricks, Azure Data Services or modern cloud data platforms
•Understanding of IB, A-Level, GCSE, AP or other international curriculum assessment frameworks
Conditions
No conditions stated in the posting.

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