BUSINESS / DATA SCIENTIST

SUMMARY:
BUSINESS / DATA SCIENTIST

BOLAND

MARKET RELATED SALARY, DEPENDING ON EXPERIENCE

POSITION INFO:
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, and efficiency of data pipelines and infrastructure
• Timeously address and resolve logged user queries in a professional and efficient manner
• Manage expectations of business through providing realistic estimates and timeous communication on issues
• Use Artificial Intelligence (AI) tools and platforms to enhance analytical outcomes, including experience or familiarity with Co-Pilot Studio or similar AI technologies
• Assisting with initial project setup, defining technical system requirements and system testing
• Providing on-going application support, including troubleshoot processes (SynAps, Alteryx, Warehouse)