Business Intelligence Analyst II [BI Analyst II]

Business Intelligence Analyst II [BI Analyst II]

We appoint energized and motivated people for their potential and continuously look for talented, driven individuals to help us innovate and evolve. That is why we focus on finding the right people for the right jobs. We love what we do because we focus on making a positive difference for our clients and employees. Our company DNA is built around talented and committed teams dedicated to build a brand that we are proud of and earns the trust of our clients.

Who We are

We are a bank, but we’re much more than that. We believe that banking is about enabling people to control their financial lives through banking that is simplified, accessible, affordable and delivered through personal experience. By helping our clients manage their financial lives better, we enable them to live better.

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.

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 drive 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.