Business Intelligence Analyst II [BI Analyst II] at Capitec Bank

Purpose Statement

• To build value for the Bank by solving client and business challenges using Generative AI (GenAI).
• The role leverages data and GenAI capabilities to explore, develop, and implement GenAI-powered solutions using Microsoft applications, including Copilot, Power Automate, Power Apps, and Azure AI Foundry.
• The analyst plays a key role in transforming business workflows, enhancing efficiency and productivity, and generating strategic insights, while ensuring compliance with governance, security, and data standards.

Education (Minimum)

• A relevant tertiary qualification in Business Administration or Statistics

Education (Ideal or Preferred)

• Certification in Business Analysis

Knowledge and Experience

Experience:

• Minimum of 3 years’ experience as a Business Intelligence Analyst or equivalent (e.g., Data Analyst), with a strong foundation in data analytics, BI methods and tools, and generative AI. 
• Demonstrated experience in identifying, quantifying, and delivering value through data and GenAI solutions that address business challenges.
• Experience in preparing and structuring metadata-rich data for LLM consumption, with a focus on quality, consistency, and contextual clarity.
• Proven ability to utilize Large Language Models (LLMs) to driven decision-making.
• Hands-on experience with M365 Copilot, Copilot Studio, Copilot Agents, Power Apps, Power BI, and SharePoint.
• Advanced proficiency in prompt engineering to produce high-quality, contextually relevant GenAI outputs.
• Strong problem-solving ability using deductive and inductive reasoning to resolve complex business challenges.
• Excellent communication, project management, and stakeholder engagement skills.
• Experience working with cloud-based data platforms, particularly Microsoft Azure.
• Ability to identify, assess, and mitigate potential risks associated with GenAI.
• Demonstrated experience in applying GenAI to everyday tasks such as document drafting and editing, data analysis and interpretation, reporting, and problem-solving. 

Knowledge:

• Familiarity with various Generative AI models and agents plus applied use cases.
• Understanding of how vector databases store and retrieve high-dimensional embeddings to support semantic search and RAG.
• Familiarity with embedding generation using LLMs or embedding models.
• Understanding of GenAI ethics, bias, and responsible AI practices.
• Knowledge of data privacy, security regulations, and industry best practices.
• Solid understanding of data quality principles.
• Ability to maintain human oversight and apply sound judgment in AI-assisted workflows.
• Critical thinking skills to evaluate the accuracy and appropriateness of AI-generated outputs.
• Knowledge of project management methodologies and user experience design thinking.

Ideal:

• Prior experience in the banking or financial services sector.
• Experience in Power Apps administration and environment management.
• Hands-on experience with Azure Fabric and Azure AI Foundry.
• Relevant Microsoft certifications (e.g., Power Automate, M365 Copilot, Fabric AI).
• Familiarity with change management principles and frameworks.