Business Intelligence Data Analyst

1 week ago

Bellville, Western Cape, South Africa University of the Western Cape Full time
Business Intelligence Data Analyst - (1945)

University of the Western Cape -> Rectorate -> Institutional Planning

Type of Position: Permanent - Full Time

Closing Date: 23/2/2025

Role Clarification & Key Performance Areas

The University of the Western Cape (UWC) is a vibrant, diverse and dynamic university, rooted in the African continent with an increasingly global reach. UWC actively responds in critical and creative ways to the country's development needs within an ever-changing national and global context.

The Institutional Planning Department at the University of the Western Cape invites applications for a Business Intelligence Data Analyst position. As part of the Business Intelligence Unit, the successful candidate will use business intelligence and statistical tools to conduct research and analyse institutional data.

The role involves data analysis, report writing tailored to specific requirements, and providing actionable recommendations to enhance management information and reporting. The appointed analyst will be expected to stay informed of internal and external reporting requirements and to collaborate effectively with a wide range of stakeholders.

The successful incumbent will be responsible for:

  1. Analysing and interpreting data using programming, statistical and business intelligence tools.
  2. Developing predictive modelling, forecasting and optimisation models to discover trends, opportunities and risks based on the available university data.
  3. Producing reports and presentations of analytics outcomes that are understandable to a diverse range of internal and external university stakeholders.
  4. Developing control structures to ensure the accuracy and quality of data through all data value chains.
  5. Conducting environmental scans related to developments in the national and international higher education landscape.

Minimum Qualifications:

  1. An Honours degree or equivalent qualification at NQF level 8 in any of the following fields: mathematics, statistics, data science, or computer science.
  2. A minimum of 3 years of recent and relevant work experience in the analysis of large data sets.
  3. Experience using statistical software (e.g. R, Python, SPSS or SAS, etc.).
  4. Experience using business intelligence and visualisation software (e.g., Tableau, PowerBI, PowerHEDA, etc.).
  5. A strong background in data analysis, interpretation and presentation supported by excellent analytical, problem-solving, and organisational skills.

Required Competencies (skills, knowledge, and behavioural attributes):

  1. A high level of integrity in handling sensitive information.
  2. Ability to work independently and as part of a team, using initiative, and being flexible.
  3. Knowledge of current and emerging data analysis trends.
  4. Analytical thinking and knowledge of statistical modelling and machine learning techniques.
  5. Ability and willingness to learn new techniques in business intelligence and data analysis.
  6. Operational planning and project management skills.
  7. Ability to communicate effectively with different stakeholders.

Advantageous Qualifications:

  1. A Master's degree (NQF 9 level) in either statistics, mathematics, computer science, economics, or other quantitative fields.
  2. Knowledge of data management frameworks.
  3. An understanding of student performance data and appropriate analytical methods.
  4. Relevant work experience in a higher education environment.
  5. Knowledge of the South African and international higher education sector.

For more information regarding the post, please contact Ms E Booi at Tel: +27 21 959 4082 / e-mail: ebooi@uwc.ac.za.

In your application, you are encouraged to highlight your strengths and include anything else you deem exceptional and outstanding to be considered by the selection panel. In addition, please attach a cover letter motivating your suitability, a detailed curriculum vitae including contact details of three referees, and your highest qualification to your online profile.

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