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Wits Health Consortium: Data Analyst Internships 2022

Wits Health Consortium Invites Unemployed Graduates to Apply for the Data Analyst Internships 2022

Closing Date: 15 December 2021
Job Type: Full-Time
Location: Parktown, Johannesburg, South Africa

Job Description

The Department of Molecular medicine and Haematology (Wits University, School of Pathology), a syndicate of the Wits Health Consortium, is seeking a student Data Analyst to join the Research and Development (R&D) team.

This position involves managing the analysis and delivery of information to stakeholders, as well as applying research questions to national data for COVID-19, TB and HIV disease control. 

Reference No: Internship_01 


  • Assist in organizing, conceptualizing and conducting large, advanced spatial analyses as part of a data team.
  • Develop database schemas and analytical methods needed to support project goals.
  • Review existing or incoming data for accuracy, usefulness, quality, or completeness of documentation.
  • Assist in the update and circulation of national and laboratory briefs for COVID-19.
  • Communicate and collaborate with team members and individuals from a wide variety of backgrounds, both technical and non-technical.
  • Work with team members to identify information needs and develop/enhance/modify reporting structures.
  • Write and present scientific reports and manuscripts for submission to scientific journals and abstract driven conferences.
  • Perform literature searches in order to supplement specialist knowledge.
  • Maintain or modify existing data and spatial databases.
  • Analyse and report on patterns and trends through data and spatial mapping of data.

Requirements / Qualifications:

BSc (Hons.) in:

  • Data Science,
  • Geographic Information Systems (GIS),
  • Computer Science
  • Or a related field.

Desirable additional education, work experience and personal abilities

  • Preference will be given to students who are currently completing a MSc Degree
  • Intermediate knowledge of programming languages (e.g., Python, R) and relational database management system software (e.g., SQL)
  • Knowledge of statistical analysis and statistical software programmes (e.g., STATA, SAS, SPSS)
  • Understanding of the design of database architectures, data warehouses, data migrations, visual design/ dashboards
  • Knowledge of data quality management practices and data security and privacy
  • GIS software knowledge and experience including Esri GIS core products (e.g., ArcGIS Pro, ArcGIS Online) and an understanding of geospatial (GIS) reporting
  • Research interest in priority diseases
  • Knowledge or interest in epidemiology practices
  • Advanced communication (verbal and written) and interpersonal skills
  • Ability to translate technical information to non-scientific team members
  • Self-motivated and ability to work under pressure
  • Must be able to multi-task and prioritize tasks within multiple ongoing projects
  • Ability to work independently
  • Attention to detail

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