define optimal database parameters and establish data security rules. They will design the database, including planning and hardware resource management. Maintain data availability and quality through performance tuning
efficiency and security. Guard the treasure trove of data with physical and logical security rules and usage planning. Set sail to create databases and deploy data on physical media, AZURE DaaS, or Private Cloud resources with precision. Keep a weather eye on data availability and quality, fine-tuning performance ensuring smooth data access. Guard the gates of user access permissions and tackle data security concerns backup systems to maintain data integrity, including archiving and purging data when needed. Establish quality
suitable solutions. Data Collection and Analysis: Conduct research and analyze data to identify key themes trends. Insights and Reporting: Prepare and present data and analytics reports to stakeholders. Stakeholder Specifications and Data Management: Ensure data integrity and manage key elements of data management systems less experienced team members. Skills: Advanced MS Office Skills Proficiency in database environments (e Nprinting Experience with data warehousing and Geo-Analytics Ability to analyze data trends and create effective
suitable solutions. Data Collection and Analysis: Conduct research and analyze data to identify key themes trends. Insights and Reporting: Prepare and present data and analytics reports to stakeholders. Stakeholder Specifications and Data Management: Ensure data integrity and manage key elements of data management systems less experienced team members. Skills: Advanced MS Office Skills Proficiency in database environments (e Nprinting Experience with data warehousing and Geo-Analytics Ability to analyze data trends and create effective
Degree / Diploma relating to Business Intelligence / Data Warehousing / Database Administration (advantageous) insurance industry (advantageous). Advanced MS Office Skills, different database environments (e.g. DB2 models, extracting trends and patterns from company data to address short-term insurance metrics. Present operational hours and oversee user-acceptance testing of Data Visualisation models. Administer the business intelligence meet business needs. Data Collection and Analysis: Conduct research using primary data sources to analyse
Reference: BIT002797-Mel-2 A client in the real-time data tracking industry in the heart of Johannesburg is hardware integration experience, to join their in office team. Qualifications: Tertiary qualification in
experience with data warehouse implementations; and strong knowledge of logical and physical data modeling concepts drive data store/data warehouse/data mart design and configuration Use ETL tools to load data store(s)/data store(s)/data warehouse(s)/data mart(s) Provide support as required to ensure the availability and performance performance of enterprise data and BI environments for both external and internal users Ensure proper configuration that data is being correctly gathered, stored, and analyzed Develop methodologies to improve data analysis
a plus). Azure Data Lake, Data Factory, SQL Data Warehouse (a plus). Predictive data modelling (a plus) maintain reports and supporting data. Design, build, and maintain data and integration architectures. solutions. Initiate BI training programs. Utilize data warehousing concepts. Ensure ZAP tool security.
This role involves developing analytical models and data visualizations to support business decision-making Responsibilities: Create and maintain analytical models and data visualizations. Provide operational support and develop suitable BI solutions. Prepare and present data and analytics reports. Engage with stakeholders degree/diploma related to Business Intelligence/Data Warehousing/Database Administration (Advantageous) Power BI, SQL, and other relevant tools. Strong data management and analytical skills. Excellent communication
Performance Areas: Data and Flow Management: Monitor and manage system backups and Evolution data synchronization and constant data flow (Regional and Local) with minimal system "Down days" and clean data maintenance backup procedures for data integrity and conduct successful recoveries. Respond to data loss incidents, implement administration qualification essential (e.g., SQL Server). Data analysis experience. Proven experience as an IT