Usinga Data Manager

2 weeks ago


Durban, KwaZulu-Natal, South Africa University of KwaZulu-Natal Full time

The University of KwaZulu-Natal (UKZN) is committed to employment equity with the intention to

promote representativity within the Institution. Preference will be given to applicants from

designated groups in accordance with our Employment Equity Plan.

COLLEGE OF HUMANITIES

SCHOOL OF BUILT ENVIRONMENT AND DEVELOPMENT STUDIES

USINGA DATA MANAGER

GRADE 9

HOWARD COLLEGE CAMPUS



REFERENCE NUMBER:
BEDS04/2023

The School of Built Environment and Development Studies seeks to employ a research

data manager to perform overall day-to-day creation, updating, maintenance and

validation of USINGA population research databases to the highest quality standards for

the Umlazi Surveillance Initiative to Nurture Grassroots Action (USINGA), using innovative,

efficient, and cost-effective systems that are anchored on robust quality assurance and

quality control practices. USINGA is a health and demographic surveillance node of the

South African Population Research Infrastructure Network (SAPRIN).

research studies. He/She is responsible for the creation, updating, maintenance, and

validation of USINGA population research databases, for maintaining a high level of

population-level data quality, and for the provision of computerized reports of these data.

He/She is a key member of the Research Data Management team.

MINIMUM REQUIREMENTS:

  • A Bachelor's degree in either computer science or other information technology
(IT) field

  • At least three years of working experience in data extraction and analysis or
research data management

  • Valid Drivers' Licence
  • Experience in working with complex and large databases
  • Experience in working with longitudinal data in an HDSS
  • Exposure to data extraction, transformation and loading, and business analytics
  • Experience in working with scientists, such as demographers, clinicians and
epidemiologists, in formulating data requirements and preparing data for

statistical analysis

  • Experience in successfully mentoring junior staff to fulfil data management
functions such as data extraction, analysis, and reporting.

  • Knowledge of the Structured Query Language (SQL), MS Office software
packages, and Statistical analysis programs e.g. STATA, SAS, SPSS or R.

Appointment to this post will be on the January 2018 Conditions of Service.

The remuneration package offered includes benefits.

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