Description
Job Advert Summary:
The Human and Social Capabilities unit is looking for qualified Data Monitoring Officers/Quality Assurance Officers for the upcoming SABSSM VI project. The incumbents will be based in the Pretoria.
Minimum Requirements:*
Requirements*:
- Quantitative Degree (Geography, Maths, Statistics, Computer Science, Data Sciences, and Economics) or other degree with extensive quantitative data management, data processing, M & E experience (2 to 5 years).
- Experience in data collection processes, data collection, data capturing and field supervision.
- Experience using electronic data collection methods (use of cellphones, tablets, laptops etc.)
- Above average computer skills
- Experience with Micro-soft suite (Word, Excel, PowerPoint)
- Experience with data management SQL, MySQL, RedCaP, CSPro, etc will be an added advantage
- Experience with data visualization tools - Excel, Power BI, etc. will be an added advantage
- Good problem-solving skills.
- Attention to detail.
- Able to compile numeric and narrative reports.
- Above average ability to read, write and understand English.
- Willingness to work in a team.
- Those who have worked in research (HSRC or elsewhere) are encouraged to apply.
- Must be a South African Citizen.
Duties and Responsibilities:*
Key responsibilities*:
- Responsible for real time monitoring of data collected for a large national survey to ensure data integrity and good data quality.
- Monitor fieldworker performance, by tracking dashboards and other analytical outputs/tools.
- Monitor performance of individual’s data collectors. Check data collected by each data collector daily and ensure all data has been successfully uploaded to the HSRC server
- Monitor integrity and completeness of collected data.
- Monitor field team progress using GIS and GPS.
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- Monitor survey progression i.e., data accrual vs projected.
- Ensure quality work by following processes, procedures and steps outlined in the Standard Operating Procedure Manual
- Prepare and submit daily reports.
- Monitor fields sample logging in sheets against database entries.
- Monitor laboratory databases/results against field databases and follow-up on data queries.