Description:
Minimum requirements:B-degree in Computer Science; OR
An accredited qualification/Microsoft certification with equivalent demonstrable experience Minimum four years of professional experience in Data Analytics / Data Science Track record in using Data Mining tools, SQL, Power BI, Other platforms, Python, AI Tools Experience of working with the AGILE methodology Demonstrated ability to translate business requirements and processes into effective SharePoint solutions Proven track record to work to and adhere to strict business deadlines Proven ability to communicate, both written and verbal, at all levels in the business Experience in business process analysis and optimisation will be a strong advantage Experience with AI platforms such as Co-Pilot Studio, Azure AI, or other generative AI tools is advantageous Proficiency in Data Analytics and Design Detailed documentation of Application Processes and system design diagrams Applying Analytical and Critical thinking methods Conduct troubleshooting and implement problem solving Proficiency in verbal and written communication and effectively presenting concepts Project Management capabilities Ability to influence people AREA OF FOCUS: Responsible for the application development lifecycle, including analysis, design, coding, unit testing, debugging, and documentation, including high-level system design diagrams relating to all Business Reporting Planning and leveraging the latest MS365 / SharePoint /O365/Co-Pilot social computing and collaboration features to maximize the capture and share of knowledge and expertise within the company Develop technical quality review, research and evaluation of software solutions Analytics using the Datawarehouse, by building reporting (Power BI and Excell) ROLE DESCRIPTION: Analyze large, complex data sets to uncover trends, patterns, and insights that drive business value Develop predictive models and machine learning algorithms to solve business problems and optimize processes Design experiments and interpret results to provide actionable recommendations for product development, marketing strategies, and operational improvements Collaborate with stakeholders to define project objectives, gather requirements, and communicate findings effectively to non-technical audiences Engage in the understanding, analysis, and continuous improvement of business processes, leveraging data and technology to drive operational efficiency and innovation Continuously evaluate and refine models to improve performance and accuracy, staying abreast of the latest advancements in data science and machine learning techniques Work closely with business to ensure the scalability, reliability, a
10 Jul 2025;
from:
gumtree.co.za