Description Main purpose of the job: The main purpose of a data manager in a scientific research setting is to oversee oversee the collection, organization, and storage of data generated from experiments, observations, or surveys the quality, security, and accessibility of the data throughout the research project and beyond Location: performance areas: Technical Data Management and Analytics: Developing and implementing data management plans to to ensure data is collected, processed, and stored in compliance with ethical, legal, and regulatory requirements
Description Main purpose of the job: The main purpose of a data manager in a scientific research setting is to oversee oversee the collection, organization, and storage of data generated from experiments, observations, or surveys the quality, security, and accessibility of the data throughout the research project and beyond Location: performance areas: Technical Data Management and Analytics: Developing and implementing data management plans to to ensure data is collected, processed, and stored in compliance with ethical, legal, and regulatory requirements
the job:
protocol must include: · Problem statement · Data collection · Data analysis · Findings/results · Recommendations in various formats 2. Analyse data sets : Analyse various provided data sets in MS Excel format. Submit ADVANTAGES: · Applicant must have certificates in data science or data analytics. · Applicants must have advanced Quantitative and qualitative research methods and data analysis. · Reporting and presenting findings and
protocol must include: · Problem statement · Data collection · Data analysis · Findings/results · Recommendations in various formats 2. Analyse data sets : Analyse various provided data sets in MS Excel format. Submit ADVANTAGES: · Applicant must have certificates in data science or data analytics. · Applicants must have advanced Quantitative and qualitative research methods and data analysis. · Reporting and presenting findings and
Masters degree in Engineering, Computer Science, Data Science, Business or related applied sciences. Experience: At least 10 years experience in relevant areas of data intensive projects and research. Demonstrated ability development. Fully conversant with latest trends in data-intensive research platforms Experience in system
samples according to SANS 3001 standards, records data and generates meaningful and sensible test results site visits, geological mapping, and geotechnical data collection. This includes collecting soil samples moisture meters, and other specialized instruments. Data Analysis: Collaborate with Quality Officer, Lab using geotechnical software and tools to analyse data, identify trends, and draw meaningful conclusions assessments. This involves documenting findings, data analysis, and providing clear and concise written
samples according to SANS 3001 standards, records data and generates meaningful and sensible test results site visits, geological mapping, and geotechnical data collection. This includes collecting soil samples moisture meters, and other specialized instruments. Data Analysis: Collaborate with Quality Officer, Lab using geotechnical software and tools to analyse data, identify trends, and draw meaningful conclusions assessments. This involves documenting findings, data analysis, and providing clear and concise written
activities, including analysis and interpretation of data, to conduct research relevant to the discipline tests
TO APPLY:
and solve production problems: Proactively analyze data and troubleshoot issues to minimize downtime and and understand complex production processes. Are a data-driven problem-solver with strong analytical and