Senior Business Analyst

SUMMARY:

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.

POSITION INFO:

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

• 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.