• A well-established independent wine specialist organisation is looking for a Senior IT Business Analyst to drive their digital transformation by researching, planning, implementing, and enhancing AI-driven solutions, optimizing processes, and aligning systems with business objectives through cross-department collaboration and strategic technology recommendations.

Minimum requirements for the role:

• Must have a relevant degree in IT, Business, Mathematics, BSc, or a related field; advanced degree is preferred
• Must have higher Grade mathematics in matric, with an average no lower than 70%
• Minimum 10-12 years’ experience in system development and business analysis, with a preference for exposure to FMCG, distribution or related environments
• Software development experience is advantageous
• Working knowledge of relational databases and the ability to create, manage or gain insights into relational datasets
• Working experience of SQL is advantageous
• Must have strong analytical skills with the ability to interpret extensive datasets and develop multi-faceted solutions
• A proven track record of introducing and delivering effective solutions with exposure to roles as Project Leader/Project Manager
• Ability to manage multiple projects and deadlines in a fast-paced environment
• Exposure to and working experience in guiding and leading project teams and/or functional teams
• Excellent communication skills, with the ability to articulate findings clearly to all levels of the organization
• A collaborative team player with a strong work ethic and the ability to work independently
• Competency in usage of project management methodologies and related tools (e.g. Agile, Scrum, Kanban) are essential
• Experience and knowledge of technologies such as HTML5, Blazor C#, .Net and SQL is advantageous
• Experience and knowledge of Syspro and Tableau are advantageous
• Must possess strong analytical skills with the ability to solve problems, identify innovative solutions, and create accurate, well-structured system designs
• Must be an adaptable communicator capable of effectively presenting insights to diverse audiences while working collaboratively or independently to drive processes forward
• Demonstrate a commitment to confidentiality, excel at building rapport with executives, developers, and internal teams, and consistently strive to add value to the system audience and end users

The successful candidate will be responsible for:

• Researching, planning, and documenting deliverables to support business and department objectives.
• Collaborating with multiple departments to ensure alignment with project requirements and objectives.
• Managing the project lifecycle, ensuring deliverables are being met within scope and on time.
• Coordinating testing processes to ensure the solution is meeting business needs and delivering accurate results.
• Developing and implementing change management strategies to ensure the smooth adoption of new solutions.
• Leading user training and ensuring the effective handover of systems to end-user departments.
• Identifying and proposing AI-driven solutions to improve efficiencies, automating routine tasks, and enhancing decision-making processes.
• Continuously researching emerging technologies and assessing their applicability to the company’s digital transformation strategy.
• Analyzing current systems and processes to identify opportunities for improvement and enhancements.
• Making recommendations for upgrades or system modifications, ensuring alignment with business needs.
• Overseeing the implementation of system improvements, coordinating with stakeholders and IT teams.
• Playing a key role in identifying and recommending innovative technologies, including AI, that are aligning with business strategy.
• Researching emerging AI technologies and best practices to provide cutting-edge solutions.
• Analyzing existing business processes and end-user experiences to identify areas for efficiency improvements.
• Mapping and analyzing database structures and data sets, providing recommendations on how to leverage business data effectively.
• Working closely with IT and software development teams to ensure alignment between technical capabilities and business expectations.
• Developing and maintaining value analysis tools to support data-driven decision-making.