TVET INSTRUCTOR IN DATA ANALYSIS

DUTIES AND RESPONSIBILITIES

Curriculum Delivery

• Deliver high-quality, engaging online lectures in Data Analysis in alignment with the CBET framework and institutional curriculum.
• Use diverse teaching methods and digital tools to meet different learning styles and ensure student engagement in a virtual setting.

Training Material Development

• Prepare comprehensive lesson plans, digital presentations, practical exercises, and learning resources tailored to Data Analysis topics.
• Update content regularly to reflect current industry trends, tools, and methodologies in data analytics.

Student Assessment and Evaluation

• Design and administer continuous assessments, quizzes, assignments, and end-of-course exams to evaluate student understanding.
• Provide timely, constructive feedback to students to support their academic growth and skills development.

Practical Training and Supervision

• Guide students through practical, hands-on data analysis exercises using tools such as Excel, R, Python, or SPSS.
• Supervise student projects, ensuring they apply theoretical knowledge to real-world data problems.

Student Support and Mentorship

• Offer one-on-one or group academic support to students struggling with course content.
• Provide career and academic guidance to help students understand how to apply data analysis in professional contexts.

Administrative and Reporting Duties

• Maintain accurate records of student attendance, participation, grades, and performance analytics.
• Submit regular reports on student progress and class activities to the Academic Coordinator.

Compliance and Standards

• Ensure all instruction adheres to TVETA and CBET regulatory guidelines and institutional policies.
• Participate in internal audits, curriculum reviews, and compliance documentation as required.

Professional Development

• Stay up-to-date with advances in data analytics tools, virtual teaching methods, and education technology.
• Attend institutional training sessions, workshops, and collaborative faculty meetings.

KEY REQUIREMENT SKILLS AND QUALIFICATION

• Diploma in Data Analysis, Mathematics, Economics, or a related field
• Must be a licensed TVET instructor
• Proven experience delivering Data Analysis training, preferably in a TVET or online learning environment
• Proficiency in data analysis tools such as Excel, SPSS, R, or Python is an added advantage
• Strong communication and presentation skills suitable for online instruction
• Ability to work independently and meet deadlines with minimal supervision

HOW TO APPLY

• If you meet the above qualifications, skills and experience share CV on This email address is being protected from spambots. You need JavaScript enabled to view it.
• Interviews will be carried out on a rolling basis until the position is filled.
• Only the shortlisted candidates will be contacted.