MANAGER: DATA INTELLIGENCE/ANALYTICS (1 POST)

SUMMARY:

Join our dynamic team at the University of Fort Hare as a Manager: Data Intelligence/Analytics. This pivotal role involves leading data analytics initiatives that generate actionable insights to inform strategic decision-making and improve institutional performance. The incumbent will be expected to keep up to date with internal and external reporting requirements and will collaborate closely with staff within the Planning and Quality Assurance Unit, faculties and other stakeholders, particularly, in respect of student reporting.

POSITION INFO:

Minimum Requirements:

• Minimum of a Master’s degree; preferably a Doctoral degree; specialising in any of the following fields: Computer Science, Mathematics, Information Technology, Statistics, Data Science, or any related field.
• A minimum of 5 years of experience in a higher education environment, with at least 3 years at a management level.
• Experience in the analysis of large data sets, data modeling or database design using SQL or similar languages
• Experience in using business intelligence and data visualisation software (e.g. PowerBI or PowerHEDA).
• Advanced proficiency in major Microsoft applications, such as Excel (data analysis with creating high-level functions and Pivot Tables etc.), Visio, and other applications.
• An understanding of student performance data and HEMIS reporting.
• Experience in policy formulation, strategy development, and procedure implementation.
• Knowledge of data management frameworks.

Additional requirements:

• Strong communication and interpersonal skills.
• A high level of integrity in handling sensitive information.
• A strong background in data analysis, interpretation and presentation.
• Critical thinking, high-level analytical, problem-solving, and organisational skills.
• Strong project management skills.

Key Duties and Responsibilities:

• Analyse and interpret data using complex programming, statistical and business intelligence tools.
• Conduct environmental scans related to developments in national and international higher education
• Deliver reports and presentations of findings to the university community and external stakeholders in a way that can be easily understood by people of diverse backgrounds.
• Lead the development of self-service dashboards and reports.
• Ensure consistency in data analysis and develop predictive models.
• Collaborate with university colleagues to provide actionable insights.
• Manage and implement special projects as directed by senior leadership.
• Support data acquisition, integration and description; and assure data quality through partnership with relevant stakeholders on campus.
• Develop project plans, including resource needs, objectives and task dependencies

Closing Date: 6 June 2025

To apply: Interested applicants who meet the criteria are invited to:

1.Applications must be accompanied by:

1. A recent and comprehensive curriculum vitae
2. A Covering Letter stating how applicants satisfy the requirements of the advertised position/s
3. A completed University of Fort Hare Application Form
4. Copies of the applicants qualifications. Foreign qualifications must be accompanied by an evaluation certificate from SAQA.

2.No faxed, emailed or walk-ins (hard copies) will be accepted.
3.Applicants are urged to ensure that their applications reach the Human Resources Department before the closing date. Late or incomplete applications will not be considered.
4.Failure to comply with the above directions will result in the application/s being disqualified.

Note: Correspondence will be conducted with short-listed candidates only. Queries can be directed to Andisiwe Sonjica on and .

The University reserves the right NOT to make an appointment. The University of Fort Hare is an equal opportunity and affirmative action employer. Pursuant to complying with the Employment Equity Act No.55 of 1998, when appointing. preference will be given to applicants from designated groups whose appointments will contribute towards achievement of equitable demographic representation of our workforce profile.

 

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