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.

Key Responsibilities

A. Data Collection & Management

• Lead the collection, validation, and 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.

B. 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.

C. Reporting & Visualization

• Develop role-specific reporting templates (for principals, academic leads, subject coordinators) to ensure consistent interpretation and use of data across schools.
• 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).

D. 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.

E. Strategic Decision Support & Planning

• Provide the CLO and Heads of School with data insights to support planning, goal-setting, and OKR alignment.
• Support the design and evaluation of pilot programs or interventions by tracking impact data and making evidence-based recommendations.
• Partner with the Head of Skills, Head of Academics, and School Leaders to evaluate program effectiveness (e.g., enrichment programs, new curricula).

F. Capacity Building & Data Literacy

• Help academic coordinators and school leaders on interpreting and using 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

• 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