23 Education Professional jobs in Saudi Arabia

Overview

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.

• 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.

• 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.

• 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).

• 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.

• 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).

• 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

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.

• 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.

• 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.

• 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).

• 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.

• 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).

• 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

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.

• 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.

• 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

Overview

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.

• 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.

• 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.

• 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).

• 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.

• 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).

• 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

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.

• 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.

• 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.

• 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).

• 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.

• 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).

• 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

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

• 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
• 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, 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)
• 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 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)
• 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

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

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

• To efficiently handle, plans and deliver training and individual development of Kafaat's employees and its clients by designing and conducting training programs and related services and activites as well as resolving complex training issues.
• Optimise the use of personal time/effort and assigned work tools/resources in carrying out assigned duties, to ensure work meets agreed standards for timeliness and quality.
• Conduct and produce a company Training Needs Analysis by contact with each Kafa'at department and taking account of Kafa'at business strategy and capability requirements, Develop, implement, and monitor Kafa'at training policy & procedures, performance management system, and training spending.
• Develop the annual training plan based on a comprehensive KPI and coordinating training inputs both from Kafa'at and from external provider.
• Liaise with external training vendors to deliver training programs for Kafa'at and its clients.
• Receive and respond to queries from employees and managers concerning scheduled and prospective training programmes.
• Develop organisational capacity for on-line, electronic and other alternative training methods as best meet the requirements of the subject and the resources available.
• Maintain contact with projects department to get the training requirement.
• Identify, select and manage external training and accreditation bodies, agencies and providers necessary to deliver required training to appropriate standards.
• Propose learning resources and coaching/mentoring programmes for approval by the Training & Development Manager.

Overview

Carries out assigned tasks and duties to ensure the timely and effective delivery of Learning & Development programs or initiatives. Ensures proper documentation of said programs for reporting and reference.

• Carries out assigned tasks and duties to ensure the timely and effective delivery of Learning & Development programs or initiatives. Ensures proper documentation of said programs for reporting and reference.

Qualification:

• B.S. in Business Management, Industrial Psychology/Behavioral Studies, Education, or Communication.

Experience:

• A minimum of 7 years relevant experience with at least 3 years exposure in a manufacturing, oil and gas, and/or shipbuilding industries.

Job Specific Skills:

• Certified Professional in Talent Development (CPTD)
• Certified Professional in Training Management (CPTM)
• Certified Professional in Learning and Performance (CPLP)
• SHRM / CIPD
• Proficient in MS Office utilities
• Knowledge in Oracle – Training Module
• Knowledge and experience in using Learning Management System (LMS)
• Knowledge in Instructional Design

Generic Skills:

• Average to above average written and oral English, bilingual in Arabic is preferred.
• High customer service orientation, able to multi-task, organized, team player, able to handle confidential information, able to convey professionalism
• Operation and basic troubleshooting of office equipment
• Mainly office-based, may be required to visit multiple office sites as required