Job Description
Job Description
Responsible for developing and maintaining the University’s data analytics solutions, including data pipelines, data warehouses, interactive dashboards and machine learning models to support institutional planning, performance monitoring and evidence-based decision making
Duties and Responsibilities
Duties and Responsibilities
Design, develop and maintain data warehouses, analytical datasets and automated ETL pipelines integrating data from University systems and other approved sources.
Develop and maintain interactive dashboards, reports and data visualisations to support institutional planning, performance monitoring and evidence-based decision making.
Develop, train, test, evaluate, deploy and maintain machine learning models for applications such as student performance prediction, enrolment forecasting, student retention analysis and anomaly detection.
Select appropriate algorithms, engineer relevant features, evaluate model performance and improve models using suitable validation metrics.
Develop and maintain reusable analytical scripts, data models and predictive analytics pipelines using SQL and Python.
Collaborate with University departments to identify analytical needs, define performance indicators and translate business requirements into data-driven solutions.
Document data pipelines, analytical methods and machine learning models; monitor solution performance and support users in interpreting analytical results.
Perform any other related duties assigned by the AI and Data Analytics Manager.
*NB: Midlands State University is an equal opportunities employer. Women and people with disabilities are encouraged to apply.
Qualifications and Experience
Qualifications and Experience
A Bachelor’s degree in Data Science, Artificial Intelligence, Computer Science, Information Systems or a related field from a recognised university.
At least 1 year of relevant professional experience in data analytics, business intelligence, data engineering or machine learning development.
At least 1 year of practical experience developing interactive dashboards or reporting solutions using Chart.js, Power BI, Tableau or equivalent tools.
How to Apply
HOW TO APPLY
Applicants must submit application letter, certified copies of certificates, transcripts, national identification and Curriculum Vitae giving full personal particulars including full names, date of birth, qualifications, experience, present salary, date of availability, contact details, names and addresses of three referees addressed to the Deputy Registrar – Human Resource
The application pack should be sent as a single merged pdf file to email address: academicrecruitment@staff.msu.ac.zw. The subject line should be labelled with the post being applied for.
Closing date for applications is 26 November 2026. Note that only short- listed candidates will be communicated to.