The University of Johannesburg (UJ) is a vibrant and cosmopolitan university, anchored in Africa and driven by a powerful strategy focused on attaining global excellence and stature (GES). With an emphasis on independent thinking, sustainable development and strategic partnerships, UJ is an international university of choice. The University is guided by the Vice-Chancellor’s vision of “Positioning UJ in the Fourth Industrial Revolution (4IR) in the context of the changing social, political and economic fortunes of Africa”.

• to work accurately with numbers and use different statistical techniques.
• gather information from trustworthy sources, interpret patterns & trends and deliver findings timeously, and in an understandable format.
• interpret data and turn it into information that respond to the objectives identified in CAT relating to Teaching & Learning activities such as student progress tracking, learning analytics etc.
• develop and design reports in a timely manner and aligned to the stakeholder requirements.
• execute the data visualization.
• build working relationships across divisional teams and functional lines to enhance work delivery, collaboration, and innovation.
• test projects where developments have been completed by referencing the specification to ensure that the right results are achieved according to the stakeholders’ requirements.

• At least an Honours degree, or equivalent experience in a relevant field (e.g., information science, knowledge management or statistics or a field in which this type of knowledge is central).
• At least three years’ experience in working with data extraction, analysis, and interpreting data.
• Some knowledge of trends in national and international higher education.
• At least two years’ experience working with a Business Intelligence tool e.g., Microsoft Power BI.
• Experienced and skilled in SQL and advanced Excel.

• A Master’s degree will be preferred.
• Technical certification (i.e., Microsoft stack (SSIS, SSRS, SSAS, SQL), CDMP) will be advantageous.
• Some familiarity with learner analytics.
• Exposure or knowledge of machine learning technologies i.e., Python.

• Proven experience and ability in data mining and data creation
• Proven experience in a detailed planning environment
• Ability to perform under pressure
• Excellent writing, oral and electronic communication skills
• Proven ability to produce high level proposals and reports
• Excellent presentation skills
• Ability to initiate and manage projects and work independently
• Ability to develop collaborative relationships with senior staff across the University
• Highly developed analytical and interpretive skills
• Exemplary personal qualities of integrity, sound judgement, attention to detail, energy, and interpersonal skills