). Optimally define database parameters. Define data security rules (physical and logical) as well as maintenance Create the databases and implement the data on the physical media / AZURE DaaS / Private Cloud resources Guarantee the availability and quality of data by maintaining and improving performance ("tuning") monitoring, etc.) on the data access aspect. Administer user access permissions and data security issues with integrity of all the data in the database, in particular, the archiving and purging of data. Define quality
Description Data Steward Location: Midrand Salary: R25 000 – R35 000CTC Mission The Data Steward will the local ERP system Provide general and technical data on existing part numbers, add local translation
Manufacturing/Mining/Engineering Description Mine Engineering Data Analyst (C#, C++, Python, Java) Kempton Park, Rneg Degree in Computer Science/Engineering/ Metallurgical Data science environment (Minimum of 3 years) Mining query languages PostresSQL Ability to analyze large data sets. Write comprehensive reports. Relational and work Data Requirements to implement remote monitoring systems at new clients. Develop hybrid data processing monitoring system with modular approach Integrate data between the on-site monitoring systems. Use analytical
Procurement Data Analyst (SQL,Pragma, Qlisense, Netstock), Boksburg, Rneg Ben BSC Degree in Data Analytics or equivalent. More than 5 years' experience in a data analytics or industrial engineering function. Netstock interpret and present data. High level of understanding of how data is captured, stored, and accessed apply data analysis t business needs, including procurement, finance, sales and operations . Data presentation visualisation . Duties: Accountable for procurement spend data analysis across the group: Making recommendations
Manufacturing/Mining/Engineering Description Mine Engineering Data Analyst (C#, C++, Python, Java) Kempton Park, Rneg Degree in Computer Science/Engineering/ Metallurgical Data science environment (Minimum of 3 years) Mining query languages PostresSQL Ability to analyze large data sets. Write comprehensive reports. Relational and work Data Requirements to implement remote monitoring systems at new clients. Develop hybrid data processing monitoring system with modular approach Integrate data between the on-site monitoring systems. Use analytical
products and subcomponents Schematic capture and PCB design. Data pack and hardware documentation, including
constraints, and risks for RPA automation initiatives, capture and document current state manual processes Identify approvals Bachelor's Degree in Engineering/ IT/ Data Sciences/ Business Administration or related fields fields. Matric 1 - 2 year Experience in Analyzing Data R40 000 per month
Analyst with expertise in SQL design and development, data analysis, business intelligence (BI), database administration hands-on experience with T-SQL, PostgreSQL,SSRS, Python data tools, Excel, Query Analyzer, C#, and Python frameworks can seamlessly transition between database design,data analysis, and full-stack development to support Strong proficiency in T-SQL, PostgreSQL, SSRS, Python data tools, Excel, Query Analyzer, C#,and Python frameworks efficient data retrieval and manipulation. Design and maintain relational databases, ensuring data integrity
setup, deployment, and management parameters. Define data security rules (physical and logical) as well as after) Guarantee the availability and quality of data by maintaining and improving performance ("tuning") monitoring, etc.) on the data access aspect. Administer user access permissions and data security issues with integrity of all the data in the database, in particular, the archiving and purging of data. Define quality and control the movements of the data. Ensure the recovery of data (disaster recovery) following a serious
setup, deployment, and management parameters. Define data security rules (physical and logical) as well as after) Guarantee the availability and quality of data by maintaining and improving performance ("tuning") monitoring, etc.) on the data access aspect. Administer user access permissions and data security issues with integrity of all the data in the database, in particular, the archiving and purging of data. Define quality and control the movements of the data. Ensure the recovery of data (disaster recovery) following a serious