Learning Analytics Specialist

The Learning Analytics Specialist plays a key role in enabling

data-driven decision-making across all Waad Education Company schools . The role involves managing learning data, supporting evidence-based planning, and ensuring alignment with standards for school improvement.

Responsibilities

Data Collection & Management : Lead the collection, validation, and maintenance of academic, behavioral, and engagement data across all schools. Maintain a centralized data system to ensure data accuracy, accessibility, and compliance with school improvement and accreditation standards. Collaborate with school staff to build data fluency and standardize data entry procedures.

Data Analysis & Interpretation : Analyze student performance and engagement data to identify learning gaps, growth patterns, and intervention opportunities. Disaggregate data by school, grade, subject, student subgroup, and teacher to enable targeted planning and professional development.

Reporting & Visualization : Develop role-specific reporting templates for principals, academic leads, and subject coordinators. Create user-friendly dashboards and visual reports that support learning decisions, operational KPIs, and board-level updates. Ensure reports align with regulatory and accreditation metrics (e.g., MOE, NEASC).

Predictive Analytics & Student Support : Create early warning systems to identify students at academic or behavioral risk and enable timely interventions. Use predictive models and historical data to support long-term planning (e.g., student retention, subject difficulty, performance bottlenecks). Collaborate with student support teams to link data insights to personalized learning and well-being strategies.

Strategic Decision Support & Planning : Provide data insights to support planning, goal-setting, and OKR alignment for leadership. Support the design and evaluation of pilot programs or interventions by tracking impact data and making evidence-based recommendations. Partner with school leaders to evaluate program effectiveness (e.g., enrichment programs, new curricula).

Capacity Building & Data Literacy : Help academic coordinators and school leaders interpret and use data to drive instruction and school improvement. Promote a culture of evidence-based decision-making through workshops, briefings, and on-demand support. Contribute to the development of data literacy tools and guides.

Requirements

Bachelor's or Master's in Data Science, Educational Measurement, or related field

3-5 years of relevant experience in learning analytics or educational data systems

Proficient in Power BI, Excel, and Learning Management Systems (LMS)

Fluency in Arabic and English

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