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 in extracting value and features from large scale data and toolsets • Modern code development practices
stakeholders to shape data architecture and requirements collaboratively. Craft data models and schemas appropriate data storage solutions, including relational databases, data warehouses, data lakes, and NoSQL Lead the implementation of data governance policies and standards. Uphold data quality and integrity across organisation. Ensure adherence to data security and privacy regulations. Share data architecture strategies with strategic planning and technology selection for data and analytics initiatives. What you need: Bachelor's
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
Business Data Analyst Location: western cape Contract: 6 month (hybrid role) Proficient in business analysis Skilled in end-to-end data migration to support new career architecture. Experienced in data mapping, analysis analysis, and resolving data anomalies. Provides analytical solutions to address specific business challenges in a business-related field, or a recognized BA/Data certification. Over 10 years of relevant experience
accountancy firm is expanding its Cape Town office and is seeking an Junior Data Analyst to work in-office. and maintain reporting through Power BI to support data understanding and financial reporting within the offering input and advice on using Practice Engine data for the Finance team. Provide additional project-related Required Skills and Experience: BCom degree in Data Science or Business Science. 1 - 3 years of total
least five years' equivalent work experience in a data base administration position responsible for managing (Packages, Functions, Triggers) Experience with MS Data Base performance tuning and monitoring tools. Proven 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
transforming, and consolidating data, developing and maintaining a data platform, implementing cloud solutions applying machine learning techniques, and creating data visualisations. Design and implement scalable and robust processes for ingesting and transforming large data sets, developing platforms, and deploying cloud and maintain data pipelines that ingest large, complex data sets from a variety of data sources. Implement Implement and support cloud strategies aligned with data architecture, security and governance. Apply DevOps
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 Excellent knowledge of relational and dimensional data models and reporting techniques Ability to work Improve and streamline processes regarding data flow and data quality Bachelor's degree in computer science Talend Proven ability to specify and support various data integration scenarios (e.g. ETL, API, JSON, etc
strategy by analysing, defining and designing the data architecture required to achieve the organisation's organisation's information needs. · Define end to end data design for BI solutions o Provide the overall cohesiveness fit together o Work in close collaboration with Data Integration and Information Delivery developers made. · Develop and define data standards o Develops and defines the data standards for the organisation organisation o Communicates the business benefit of the data standards, champions and governs the standards across