In the midst of challenging times in South Africa, Liberty offers you an opportunity to reshape your career and embrace new possibilities . We believe that now is the time to pause, reflect, and focus on personal and professional growth. Your journey with Liberty begins and ends with family. We valu
• Prepares, transforms, models data and resolves conflicting sources of data and anomalies • Supports Agile ceremonies • Implement methods to improve data reliability and quality • Combines raw information that enable data extraction and transformation for predictive or prescriptive modelling • Responsible 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: Modelling: Building and testing predictive models to forecast future trends and outcomes. 6. Reporting: Creating
processing data from over 200 source systems. The role involves cleaning and aggregating data through our will improve and streamline processes regarding data flow and quality, working both independently and ent knowledge of relational and dimensional data models and reporting techniques
Qualifications
Talend
Responsibilities: Prepares, transforms, models data and resolves conflicting sources of data and anomalies Supports the including Agile ceremonies Implement methods to improve data reliability and quality Combines raw information that enable data extraction and transformation for predictive or prescriptive modelling Responsible for 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
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
Join Our Client's Team as a CRM Commercial Data Analyst Our client, a leading global hygiene and health company, is excited to welcome a CRM Commercial Data Analyst to their team in Johannesburg. In this role 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
The Data Scientist works under the guidance of the Technology team and will be responsible for analyzing (particularly unstructured text data) to find patterns, build models to address business problems, and and present information using various data visualization techniques and platforms. Applying statistics business problems, turning the company's volumes of big data into valuable and actionable insights. Collaborating business and information needs. Building predictive models and machine-learning algorithms to answer critical
• Prepares, transforms, models data and resolves conflicting sources of data and anomalies • Supports Agile ceremonies • Implement methods to improve data reliability and quality • Combines raw information that enable data extraction and transformation for predictive or prescriptive modelling • Responsible 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