proficient, need to be comfortable to work with data and analyse data.
Are you ready to drive data-driven decision-making to new heights? We're seeking a strategic thinker powerhouse to lead our data analytics team in harnessing the potential of data to shape business strategies COMPANY realizes the business benefits of improved data analytics through the development and management gain insights from complex datasets, supporting data-driven decision-making efforts.
- Contribute interpret, and present financial, client, and other data.
- Consolidate, analyze, interpret, and provide
goals for production databases in conjunction with data owners and department managers. Work with application disaster recovery and data archiving to ensure effective protection and integrity of data assets. Conduct research and allocate physical data storage for database systems. Plan and coordinate data migrations between systems experience. Experience in DB2 LUW data base technology and tools (Data Server Manager) Experience in troubleshooting knowledge and implementation skills of applicable data privacy practices and laws
JHB000383-BM-1 Our client requires the services of a Data Streaming Platform with Bachelor's Degree in Information accordance with the agreed hours of operation within a shift model Usage of automation tools to monitor and observe
: To facilitate data-driven decision-making and improve company operations, the Data Scientist will develop execute cutting-edge AI and BI solutions. Drive data science projects, using sophisticated analytics will collaborate with other departments to design data strategies, build models, and embed those models models into software-driven business processes Data Analysis and Modelling: - Develop and deploy machine learning processes. - Conduct in-depth data analysis, data exploration, and data pre-processing to extract valuable
Investigate data quality issues with the wider team and suggest solutions. • Communicate complex data insights teams to develop data-driven solutions and strategies. • Develop and implement data validation checks checks to ensure accuracy and completeness of data. • Competencies • Strong problem-solving skills with the ability to translate abstract business problems into data queries. • Honours degree in Mathematical Statistics be considered. • Min 4 - 6 years of experience in data analysis or a related field. • Strong proficiency
URGENT VACANCY JNR. DEVELOPER – DATA ENGINEER CAMPERDOWN, KZN Responsible for assisting the IT and IS systems / Computer Science • 3 years in position of data developer • MS Office – proficient • Valid SA Code experience – essential The post JNR. DEVELOPER – DATA ENGINEER appeared first on freerecruit.co.za .
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
incumbent will ensure that an effective and efficient data management service is provided. Provide overall direction, technical data management expertise and management of the CAPRISA Data Management department efficient, high quality and optimal delivery of clinical data management services. Provide technical support to and provide continuous oversight of the clinical data. Ensure timeous database set up and programming advancing data-driven solutions within the organization. Minimum Requirements: At least 3 years of data management
Title: DATA MODELLER -FIN SURV Purpose of the job: To lead, define and drive the improvement of data modelling modelling and development of data maturity standards within Financial Surveillance Department (FNSD) to design, implementation, and documentation of ISO20022 data modelling solutions which include but not limited databases. Conduct an assessment on ISO 20022 data modelling and data development maturity levels within the guidelines, processes, procedures and promote ISO 20022 data modelling awareness across the organisation to ensure