Business Intelligence Business Analyst (with experience in Data projects)

SUMMARY:
Managed Talent Solutions a Business Unit within Datacentrix is looking for a Business Intelligence Business Analyst (BI-BA) with experience in Data projects for one of their client based in Johannesburg. Applicants must have a degree in Computer Science coupled with Diploma in Business Analysis from IIBA education provider and a valid CBAP or CCBA certification.

POSITION INFO:
Qualifications / Knowledge / Experience:

• Matric plus Bachelor’s degree in computer science, Information Systems and/ or;
• Diploma in Business Analysis from an IIBA endorsed education provider and/or;
• Valid CBAP or CCBA certification.
• Advanced computer literacy.
• Financial services knowledge.
• Advanced knowledge of the BABOK.
• SDLC methodology knowledge.
• Minimum 5 years’ experience in financial services sector.
• Minimum 5 years’ experience in IT.
• Requirements elicitation 7 collaboration.

• Gather, cleanse, and structure data from various internal and external sources. Document existing and new process flows and data flow diagrams
• Document and validate business requirements, ensuring they are clear, concise, and understood by both the business and technical teams.
• Identification of what data is needed, where it resides, and how it will be used to achieve business objectives.
• Work with data engineers or data architects to understand the data sources, structures, and flow of information across systems.
• Analyze and map current business processes to identify opportunities for optimization using data insights.
• Ensure that the data solutions being developed will integrate seamlessly into existing operations and workflows.
• Work closely with IT teams, data engineers, and other departments to ensure that business requirements are met and data pipelines are efficient.
• Analysis of new solutions to ensure that they fulfil original requirements and close identified gaps.
• Execute feasibility and viability assessments at a project / product level.
• Identify business questions, challenges and opportunities, translating them into data analysis and reporting requirements.
• Identify inefficiencies in business processes and use data to recommend solutions or process improvements.
• Suggest automation opportunities for repetitive reporting tasks, increasing efficiency and reducing human error.
• Monitor BI system performance and recommend enhancements based on user feedback and evolving business needs.