AI Business Analyst
AI Business Analyst
dicetek llc3-6 Years
- Posted 11 hours ago
- Be among the first 10 applicants
Job Description
Required
- Bachelor's degree in Business, Computer Science, Data Analytics, or a related field.
- 3–6 years experience in business analysis, with at least 2 years supporting AI, analytics, or digital transformation projects.
- Strong foundational understanding of AI concepts including machine learning, NLP, LLMs, vector databases, RAG, and prompt engineering.
- Experience working within Microsoft's AI and productivity ecosystem (Azure AI, Microsoft 365, Power Platform, Copilot).
- Proven ability to document and present complex ideas in a clear, engaging, and executive-friendly format.
- AI Use Case Definition & Impact Framing
- Identify, qualify, and refine AI use cases across business units using structured frameworks and value-mapping techniques.
- Formulate clear, well-structured problem statements and define success criteria aligned to efficiency, customer experience, or revenue growth.
- Assess use case feasibility based on technical complexity, data availability, integration needs, and business readiness.
- Documentation & Analysis
- Translate complex business problems into AI requirements and solution hypotheses.
- Prepare high-quality business cases, value assessments, process flows, and technical documentation to support experimentation and implementation.
- Collaborate with data scientists, solution architects, and platform leads to validate solution approaches and ensure technical fit.
- Stakeholder Engagement & Communication
- Facilitate cross-functional workshops with business units, IT, and Digital teams to surface pain points and explore AI opportunities.
- Clearly communicate AI concepts, limitations, and trade-offs to non-technical stakeholders in a way that drives alignment and action.
- Act as the voice of the user in solution design — ensuring outcomes are human-centric, ethical, and usable.
- Critical Thinking & Conceptual Rigor
- Analyze processes, data flows, and decision points to pinpoint where AI can generate meaningful business impact.
- Apply systems thinking and root cause analysis to ensure AI interventions are both sustainable and scalable.
- Evaluate and prioritize ideas using scoring models, effort/impact grids, and strategic alignment checks.
- AI Knowledge Integration
- Stay up to date with the latest in generative AI, machine learning, LLMs, semantic search, RPA, and Microsoft AI tools (e.g., Azure AI, Copilot Studio).
- Contribute to refining the organisation's AI playbook, use case library, and intake methodology.
- Consider business use case alignment with the organisation's AI operating model and the organisation's enterprise architecture.
More Info
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Key Skills
LLMs
generative AI
vector databases
Copilot
Azure AI Copilot Studio
prompt engineering
AI concepts
RAG
About Company
Skills:
AI-powered tools, ChatGPT, Miro AI, Copilot, Notion AI