Project Manager/Data Analyst (post level 8)

South Africa
Aug 07, 2017
Aug 18, 2017
Organization Type
University and College
Full Time
Centre for Teaching and Learning

Project Manager/Data Analyst (post level 8)

Job ID: 1991

This post was previously advertised.  All applications received in response to the previous advertisement, will automatically be considered again. Previous applicants therefore do not need to reapply.

Duties and responsibilities:

  • Assist the Director with project planning for the range of student engagement projects at the UFS (and where applicable for national research projects).
  • Assist with planning for research projects within the Centre for Teaching and Learning.
  • Laisse with participating institutions and relevant stakeholders in national research projects.
  • Coordinate the development of the relevant survey instruments for the abovementioned projects, both online and paper-and-pencil surveys.
  • Ensure integrity of the data collected through the implementation of rigorous data management and cleaning processes.
  • Participate in decision making processes related to the design, data collection, data analysis, and methodology of the research projects.
  • Conduct descriptive and inferential statistical analysis as needed for the abovementioned projects.
  • Collaborate with other researchers within the Centre for Teaching and Learning to ensure the quality and integrity of the data analysis procedures.
  • Interpret results and draft reports based on findings.
  • Coordinate quality assurance processes related to research projects.
  • Present findings from research in appropriate fora (including conferences and journal publications).
  • Mentor and train other researchers in research processes, especially statistical analysis.
  • Manage and coordinate the research team, together with the Project Manager.
  • Inherent requirements:

    • Applicable Honours Degree (obtained or currently enrolled for).
    • At least three (3) years’ experience with statistical analysis.
    • Competent in the use of computerised, statistical analysis software (either SAS or SPSS).


    Required competencies:

    • Good interpersonal and communication skills and the ability to function with ease in the University's richly diverse working environment.
    • Advanced computer skills in order to write reports and develop PowerPoint presentations (MS Word. Excel and PowerPoint).
    • Above average oral and written language competence in English.
    • Knowledge of research methodologies used in the social sciences.
    • Knowledge of variable coding and data manipulation.
    • Demonstrate understanding and ability to apply a broad range of statistical models and procedures, such as descriptive statistics, bivariate approaches, linear regression, analysis of variance, non-parametric approaches, etc.
    • Ability to work in a team as well as independently.
    • Ability to work under supervision within a broader collaborative environment.
    • Highly organised.
    • Ability to work under pressure.
    • Accept responsibility and show good judgement, initiative and resourcefulness.
    • Willing to travel on occasion, as needed within the research project.



    • Applicable Master’s degree (obtained or currently enrolled for).
    • Experience in the use of online survey programmes (e.g. Surveymonkey, Questback or Evasys).
    • Experience in higher education research.
    • Formal training in higher education.
    • Experience in survey design and development.
    • Commitment to and experience in higher education research.
    • Valid Driver’s licence.


    Assumption of duties:
    As soon as possible.


    Closing date:

    18 August 2017


    The salary scale is available on request. For any further enquiries, please feel free to contact 051 401 9339/3934.


    Fringe benefits:

    (Subject to specific conditions): pension scheme, medical aid scheme, group life insurance, housing allowance, leave and sick leave, service bonus and study benefits.


    The University reserves the right not to fill the post. The University subscribes to and applies the principles prescribed by the Employment Equity Act. Preference will be given to candidates from the designated groups, in accordance with the principles of the aforementioned act and the employee profile of the specific department/division.

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