Secretariat require the services of a seasoned Company Secretary in their Corporate Office in Sandton Managing the Statutory Calendar Compliance with the Companies Act Compliance with King IV Minutes and Resolutions experience in company secretarial or governance work Experience with King IV Experienced in the Companies Act Understand but is not required. Experience with Listed Companies and Groups with multiple subsidiaries. This role
Prepares, transforms, models data and resolves conflicting sources of data and anomalies • Supports the Agile ceremonies • Implement methods to improve data reliability and quality • Combines raw information formats • Develop and test architectures that enable data extraction and transformation for predictive or Cooperate with the Business Analyst, Data Architect and Data Visualisation Developer throughout these in extracting value and features from large scale data and toolsets • Modern code development practices
1. Data Analysis: Analysing and interpreting complex data using statistical methods and tools to uncover insights and trends. 2. Data Extraction: Using ETL / ELT methods and tools like Azure Data Factory and Synapse Synapse. 3. Data Visualization: Creating visualizations and dashboards to communicate data insights effectively 4. Data Cleaning: Cleaning and preprocessing data to ensure accuracy and completeness. 5. Data Modelling: Working collaboratively with other members of the data science team and other departments to identify business
Our company provides weekly market statistics to the fresh produce industry, processing data from over aggregating data through our pipeline. The candidate will improve and streamline processes regarding data flow skills
Talend
Prepares, transforms, models data and resolves conflicting sources of data and anomalies Supports the delivery including Agile ceremonies Implement methods to improve data reliability and quality Combines raw information formats Develop and test architectures that enable data extraction and transformation for predictive or Cooperate with the Business Analyst, Data Architect and Data Visualisation Developer throughout these in extracting value and features from large scale data and toolsets Modern code development practices Extensive
supervise and enhance its property development. The company requires a skilled individual with Building Construction lasting, and sustainable cornerstones within our company. Travel between Durban and Capetown on a regular manner. Conduct on site investigations and analyze data (maps, reports, tests, drawings and other). Carry Aid Allowance, company fund 100%. Performance Bonus. Travel Expenses between company sites fully covered covered by company. A work enviroment thats conducive to direct project engagement and independency allowing
Secretariat require the services of a seasoned Company Secretary in their Corporate Office in Sandton Managing the Statutory Calendar Compliance with the Companies Act Compliance with King IV Minutes and Resolutions experience in company secretarial or governance work Experience with King IV Experienced in the Companies Act Understand but is not required. Experience with Listed Companies and Groups with multiple subsidiaries. This role
The Administrator/Data Capturer is responsible for assisting the Project Manager with administration Project Manager with administration documentation Data Catpturing Collecting invoices Initial ranking of
a CRM Commercial Data Analyst Our client, a leading global hygiene and health company, is excited to welcome welcome a CRM Commercial Data Analyst to their team in Johannesburg. In this role, you will secure the cross-functional global team Contribute to the development of a data-driven performance mindset/way-of-working across
is in need of a Data Analyst who will be responsible for actively identifying any data conflicts and patterns ensure we have data accuracy, integrity and the best possible datasets for our reports. Data Gathering: Collect Collect data from various sources, ensuring accuracy and completeness. Data Cleaning: Pre-process and and clean data to prepare it for analysis, which might involve handling missing values, outliers, and inconsistencies inconsistencies. Data Analysis: Utilise SQL to query databases and extract relevant information for analysis