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 and real-time processing • Experience in extracting value and features from large scale data and toolsets
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
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
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 and real-time processing Experience in extracting value and features from large scale data and toolsets
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 processes as part of a cross-functional global team Contribute to the development of a data-driven performance
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 business problems, turning the company's volumes of big data into valuable and actionable insights. Collaborating applicable, undertaking data mining and developing and documenting robust and scalable data extraction tools
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 and real-time processing • Experience in extracting value and features from large scale data and toolsets
you enjoy telling stories through data and working with large data sets? Our Sales Planning team is looking and procedures to pull data for analysis • Construct efficient multi-threaded data models from large datasets datasets • Create visual representations of data for executive reporting • Build dashboards for daily operational trends and patterns in the customer behaviors • Make data backed recommendations on Contact Center programs reporting and data processing • Correlate omnichannel data for KPI tracking • Create and maintain data repositories
English speaking technical thinkers with a passion for data management and someone who is interested in working Friday (Full-Time including lunch breaks and smoke breaks) Job Description – Junior Data Capturer and Backoffice Backoffice Assistant Reporting Live Data Capturing & Optimizing Data. Analysis & Co-ordinating Sales Performance. Microsoft Excel/Google Sheets Processes. Data experience in SQL is a bonus What we can offer you: education on the financial markets. The post CRM / DATA / ADMIN appeared first on freerecruit.co.za .