Business Modelling & Analytics Part-time Lecturer
2026-10-05T14:09:44+00:00
Zetech University
https://cdn.greatkenyanjobs.com/jsjobsdata/data/employer/comp_1952/logo/Zetech%20University.jpg
https://www.zetech.ac.ke/
PART_TIME
Nairobi
Nairobi
00100
Kenya
Education, and Training
Education, Computer & IT, Business Operations
2026-10-19T17:00:00+00:00
8
Background
Zetech University is the premier university for the education of Technology, Science and Business oriented global leaders, offering an exceptional learning experience to thousands of youth from Kenya and beyond.
Job Objective
We are seeking a qualified professional with a PhD and Masters in Data Science, Statistics, Business Analytics or IT, with proficiency in Python, SQL and Power BI and relevant industry analytics experience.
Duties and responsibilities
- To teach in areas allocated by the Head of Department.
- Designing, developing, planning and delivering a range of programmes of study, sometimes for entirely new courses at various levels.
- Delivering high-quality lectures and practicals.
- Reviewing course content and materials on a regular basis, updating when required.
- Collaborating with academic colleagues on course development, curriculum changes and the development of research activities.
- Carrying out research and writing research grant proposals.
- Seeking and participating in consultancies.
- Presenting research papers at national or international conferences and other similar events.
- Dissemination of research outputs.
- Providing mentorship and career guidance to students and staff.
- Any other duties as may be assigned from time to time by the supervisors or as captured in your detailed job description
Qualifications and Experience
- PhD in Data Science, Statistics, Business Analytics or IT from a recognised/accredited university in the relevant field.
- Master's in Data Science, Statistics, Business Analytics or IT from a recognised/accredited University.
- Skilled in Python, SQL and Power BI
- Has industry experience in analytics
- A minimum of twenty-four (24) publication points, of which at least sixteen (16) are from refereed journal articles.
- At least three (3) years post-qualification work experience.
- Is up to date with industry standards.
- Be registered by a relevant professional body.
- To teach in areas allocated by the Head of Department.
- Designing, developing, planning and delivering a range of programmes of study, sometimes for entirely new courses at various levels.
- Delivering high-quality lectures and practicals.
- Reviewing course content and materials on a regular basis, updating when required.
- Collaborating with academic colleagues on course development, curriculum changes and the development of research activities.
- Carrying out research and writing research grant proposals.
- Seeking and participating in consultancies.
- Presenting research papers at national or international conferences and other similar events.
- Dissemination of research outputs.
- Providing mentorship and career guidance to students and staff.
- Any other duties as may be assigned from time to time by the supervisors or as captured in your detailed job description
- Python
- SQL
- Power BI
- Industry analytics experience
- Up to date with industry standards
- PhD in Data Science, Statistics, Business Analytics or IT from a recognised/accredited university in the relevant field.
- Master's in Data Science, Statistics, Business Analytics or IT from a recognised/accredited University.
- A minimum of twenty-four (24) publication points, of which at least sixteen (16) are from refereed journal articles.
- Be registered by a relevant professional body.
JOB-6ac3afa8c0120
Vacancy title:
Business Modelling & Analytics Part-time Lecturer
[Type: PART_TIME, Industry: Education, and Training, Category: Education, Computer & IT, Business Operations]
Jobs at:
Zetech University
Deadline of this Job:
Monday, October 19 2026
Duty Station:
Nairobi | Nairobi
Summary
Date Posted: Monday, October 5 2026, Base Salary: Not Disclosed
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JOB DETAILS:
Background
Zetech University is the premier university for the education of Technology, Science and Business oriented global leaders, offering an exceptional learning experience to thousands of youth from Kenya and beyond.
Job Objective
We are seeking a qualified professional with a PhD and Masters in Data Science, Statistics, Business Analytics or IT, with proficiency in Python, SQL and Power BI and relevant industry analytics experience.
Duties and responsibilities
- To teach in areas allocated by the Head of Department.
- Designing, developing, planning and delivering a range of programmes of study, sometimes for entirely new courses at various levels.
- Delivering high-quality lectures and practicals.
- Reviewing course content and materials on a regular basis, updating when required.
- Collaborating with academic colleagues on course development, curriculum changes and the development of research activities.
- Carrying out research and writing research grant proposals.
- Seeking and participating in consultancies.
- Presenting research papers at national or international conferences and other similar events.
- Dissemination of research outputs.
- Providing mentorship and career guidance to students and staff.
- Any other duties as may be assigned from time to time by the supervisors or as captured in your detailed job description
Qualifications and Experience
- PhD in Data Science, Statistics, Business Analytics or IT from a recognised/accredited university in the relevant field.
- Master's in Data Science, Statistics, Business Analytics or IT from a recognised/accredited University.
- Skilled in Python, SQL and Power BI
- Has industry experience in analytics
- A minimum of twenty-four (24) publication points, of which at least sixteen (16) are from refereed journal articles.
- At least three (3) years post-qualification work experience.
- Is up to date with industry standards.
- Be registered by a relevant professional body.
Work Hours: 8
Experience in Months: 36
Level of Education: postgraduate degree
Job application procedure
Application Link:Click Here to Apply Now
Deadline: Oct 19, 2026
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