ENVIRONMENT: FACILITATE data-driven decision-making and improve company operations as the next Data Scientist to Durban-based Financial Services company. You will drive Data Science projects, using sophisticated analytics also collaborate with other departments to design data strategies, build models, and embed those models Computer Science, Data Science, or a related field with proven work experience in Data Science roles, including R, have knowledge of data manipulation and visualization & expertise in Data Preprocessing, Feature
SQL replication and exporting & importing of data. You must be able to create MS SQL Logins as well database. Consider both Back-End organisation of data and Front-End accessibility for end-users. Refine design so that it can be translated into a specific data model. Further refining the physical design to meet documentation, including data standards, procedures and definitions for the data dictionary (metadata). SQL replication and exporting & importing of data is essential. Must be able to create MS SQL Logins
(IPA) is offering an exciting position for a Product Data Engineer. In this role, you will play a pivotal Information Technology Data Analysis Computer Science Preferred Qualifications: Degree in Data Engineering AWS Solution Architect AWS Certified Database Speciality Data Warehousing certification Minimum Experience: At within management information systems (MIS), data warehousing, data transformation information systems, or systems analysis Proven experience in: A relational data warehouse (e.g., SQL server, Oracle, etc.), and
where you will play a crucial role in enhancing its data strategy and technology stack, incorporating advanced AI capabilities to optimize operations and drive data-driven decision making. This position requires a frameworks. DUTIES: Data Analysis and Reporting – Develop and maintain dashboards, reports, and data visualizations operations and strategic decision-making. Analyse complex data sets to identify trends, patterns, and actionable technologies into the BI framework. Collaborate with IT and Data Science teams to develop and deploy AI models that
business. ENVIRONMENT: PLAY a pivotal role in driving data-driven decision-making within the organisation of for gathering, analysing, and interpreting complex data sets to provide actionable insights that will inform methodologies. You will also need proven experience in BI, Data Analysis, or a related role - Product Owner/Scrum in SQL for data extraction and manipulation, Tableau and Power BI or similar. DUTIES: Data Collection Collection and Analysis - Gather and consolidate data from various sources, including databases, spreadsheets,
Software/Tech industry with the ability to interpret data and make data-driven recommendations. DUTIES: Develop and engagement, and satisfaction levels. Analyse customer data, usage patterns, and behaviour to derive insights Analytical mindset with the ability to interpret data and make data-driven recommendations. Strong organizational
Software/Tech industry with the ability to interpret data and make data-driven recommendations. DUTIES: Develop and engagement, and satisfaction levels. Analyse customer data, usage patterns, and behaviour to derive insights Analytical mindset with the ability to interpret data and make data-driven recommendations. Strong organizational
globally. The ideal candidate should have expertise in data integration, process automation, and product support reviews. Apply appropriate fixes to applications or data whilst adhering to production change standards Build experience. An understanding of data and systems architecture. Experience in Azure Data Factory, Microsoft Azure
ensuring a delightful user experience. Integrate data from various sources (e.g., SharePoint, Power BI) using Power Automate. Develop data models and reports using Power BI for data visualization. Test, debug Implement robust security measures to protect sensitive data. Ensure compliance with industry standards and regulations
server components for data organisation, data exploration, data analysis, data visualization, GIS and market leader providing insights into Telecoms Big Data delivered by very large, distributed processing