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Night Shift Data Capturing Jobs in South Africa

Jobs 1-5 of 5

Data Specialist Soweto, South Africa NEW

 Aj PersonnelSoweto

refine data collection tools, design, develop, and maintain databases, perform logic-based data validation validation rules for quality assurance on data, timely reporting, and documentation Location: VIDA – Chris Johannesburg, Gauteng Key performance areas: Technical Data Management and Analytics Contribute to refining development of HDSS data collection forms Draw up the specifications for harmonized data sets to send out participating HDSS sites Guide and lead routine data operational reports to inform on smooth field processes


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Data Specialist (wits Vida) From To (basic Plus Benefits) - Yearly NEW

 Aj PersonnelSoweto

refine data collection tools, design, develop, and maintain databases, perform logic-based data validation validation rules for quality assurance on data, timely reporting, and documentation Location: VIDA – Chris Johannesburg, Gauteng Key performance areas: Technical Data Management and Analytics Contribute to refining development of HDSS data collection forms Draw up the specifications for harmonized data sets to send out participating HDSS sites Guide and lead routine data operational reports to inform on smooth field processes


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Test Laboratory Manager Klerksdorp NEW

 Overberg PersonnelSouth Africa

staff on shift Accident and near miss reporting procedures are followed Ensure that all testwork data is captured captured electronically Ensure traceability of all testwork data and reporting Ensure sample management industry best practices are adhered to. Develop and capture logsheets relevant to the testwork being performed


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Agricultural Technologist / Field Technician NEW

Kirkwood  Monthly

chemicals according to the protocols.

  • Data capture.
  • Statistical analyses.
  • Interpretation


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  • Production Intern Bellville NEW

     TwizzaBellville

    overall operational excellence. Utilize Data Analysis: Utilize data analysis techniques to identify trends improvement within the production environment, driving data-driven decision-making. Food Science and Technology


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