Areas of specialisation

• Apply data analytics, for data driven and timely decision by the leadership team across the university, with direct reporting to Director, Academic Operations.  
• Work closely with CTI in the data collection systems, data analytics and other strategies that optimize statistical efficiency and quality
• Analyse and provide statistics on student satisfaction, experience based on student surveys – mid/end semester, programme evaluation survey as well as ad-hoc online feedback - and assist leadership in the analysis of the findings for informed and effective decision making.
• Provide in-depth information on the rate of student attrition over a period of time, with insights on the programmes, number of students as well reasons for attrition.
• Contribute towards teaching/learning, by undertaking module delivery as well as module content creation of a few select modules in which he/she has the expertise.
• Take on any other administrative role that contributes towards effective academic operations across the university, assigned by the Director, Academic Operations.

General requirements

• Minimum Degree in Analytics/ Data Science / Statistics / Computer Science or any related field.
• Working experience of at least 5 years in related Big Data Analytic fields.
• Statistical mind set, exceptional analytical and problem-solving skills.
• Ability to rapidly connect and match analytics and data products to business needs.
• Technical proficiency regarding database design development, data models, techniques for data mining, and segmentation.
• Demonstrated ability to articulate challenges in high-stakes decision making that is supported by information semantics and AI.
• Proficiency in statistics and statistical packages like Excel, SPSS, SAS to be used for data set analysing.
• Experience with statistical software.
• Reporting and data visualization skills.

We thank you for your application. Please note that only shortlisted candidates will be contacted.