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
capacity building, and sustainability advisory. Governments, corporations, investors, and development partners consultants’ experiences. When projects requiring specialist knowledge and expertise in particular areas arise consultant 4. Impact assessment consultant 5. Governance and human rights consultant 6. Monitoring and Ability to work with diverse stakeholders. The post Governance and human rights consultant appeared first on
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
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 skills
Qualifications and experience
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
information as needed by providers Perform accurate data entry Perform eligibility and benefit verification information as needed by providers Perform accurate data entry Perform eligibility and benefit verification indispensable partner for leading businesses in data-led industries such as insurance, banking and financial and logistics. We bring a unique combination of data, advanced analytics, digital technology and industry industry expertise to help our clients turn data into insights, streamline operations, improve customer
The Administrator/Data Capturer is responsible for assisting the Project Manager with administration Cape Town Assisting Project Manager with administration documentation Data Catpturing Collecting invoices
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 presentations CRM management skills Experience with Power BI, SALSA, SAP Experience with Project Management techniques
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 raw information (particularly unstructured text data) to find patterns, build models to address business problems, and present information using various data visualization techniques and platforms. Applying volumes of big data into valuable and actionable insights. Collaborating with Management to understand applicable, undertaking data mining and developing and documenting robust and scalable data extraction tools