1.Project Timeliness and Management:
1. Prioritize Data Analysis projects based on their strategic importance.
2. Strive to complete the projects within three weeks of result finalization.
3. Communicate project timelines, milestones, and progress effectively to the Academic Department.
4. Anticipate potential issues that may affect project deadline and implement proactive steps to remedy them.
2.Data Governance and Documentation:
1. Create comprehensive documentation for data sources and processes.
2. Update and maintain documentation for reference and audit purposes.
3. Ensure compliance with data privacy regulations and confidentiality standards.
4. Ensure data quality, security, and compliance.
5. Implement quality assurance processes to identify and rectify data discrepancies.
6. Communicate analytical findings effectively to non-technical staff members.
3.Data Lifecycle Management:
1. Create a detailed map of the data ecosystem, identifying sources, processes, and storage locations.
2. Document the flow of data from its origin to its eventual use or disposal.
3. Classify data based on sensitivity, importance, and regulatory requirements.
4. Develop and implement data retention policies in compliance with legal and regulatory standards.
5. Implement secure procedures for the disposal of obsolete or sensitive data, in compliance with UAE legal standards.
6. Implement version control mechanisms to track changes in datasets over time.
7. Work closely with IT team to align data lifecycle management with cybersecurity measures.
4.Academic Data Entry and Schedule Preparations:
1. Develop and maintain yearly and term-wise school calendars, incorporating academic events, holidays, and important dates.
2. Develop and maintain the school's academic timetable, ensuring optimal scheduling of classes and activities.
3. Organize and implement seating arrangements for final exams, considering factors such as student numbers, exam durations, and appropriate spacing.
4. Ensure the fair distribution of students, prevent cheating, and manage logistical aspects of exam seating.
5. Aid other departments in preparing and setting up Microsoft and Google Forms, which are primarily used for data collection.
5.Compliance:
1. Ensure adherence to established data quality standards and guidelines.
2. Implement measures to maintain accuracy and reliability in analytical outputs.
3. Adhere to recognized analytical methodologies and best practices.
4. Uphold ethical standards in handling and analyzing data.
5. Maintain comprehensive documentation of analytical processes and methodologies.
6.Collaborate with various personnel, sharing analytical findings and insights with: Principal, Vice Principal, Assistant Principal, Supervisors, Exam Control, Administrative Staff and Head of the Departments.
Conduct trainings for staff on new policies & practices based on data analysis