Business Analyst - Data & AI Practice

The Business Analyst (Data & AI) serves as the bridge between business stakeholders and technical delivery teams. This role works directly with clients to understand their business objectives, operating models, business processes, challenges, and opportunities for improvement. The Business Analyst identifies where data, analytics, automation, and artificial intelligence can create measurable business value and translates those opportunities into actionable requirements for solution architects, engineers, and developers. This position requires a strong combination of business acumen, process analysis, stakeholder engagement, and technology awareness. The ideal candidate is naturally curious, asks insightful questions, and enjoys understanding how businesses operate.

Key Responsibilities Business Discovery & Process Analysis

• Lead workshops, interviews, and discovery sessions with executive, operational, and technical stakeholders.
• Document current-state business processes, workflows, systems, and decision-making activities.
• Analyze business operations to identify inefficiencies, bottlenecks, risks, and opportunities for improvement.
• Develop process maps, workflow diagrams, user journeys, and business capability models.
• Understand organizational goals, KPIs, and business drivers.

• Evaluate business processes to identify opportunities for:
• Artificial Intelligence
• Machine Learning
• Generative AI
• Process Automation
• Data Analytics
• Predictive Modeling
• Intelligent Document Processing
• Quantify potential business value, including:
• Cost reduction
• Productivity gains
• Revenue growth
• Risk mitigation
• Customer experience improvements
• Assist clients in prioritizing use cases based on business impact, feasibility, complexity, and ROI.

• Gather, document, and validate business, functional, and non-functional requirements.
• Create user stories, use cases, acceptance criteria, and process documentation.
• Translate business needs into requirements that can be consumed by data engineers, AI engineers, architects, and developers.
• Facilitate stakeholder reviews and approval processes.

• Build trusted advisor relationships with client stakeholders.
• Facilitate workshops ranging from executive strategy discussions to operational process reviews.
• Present findings, recommendations, and business cases to leadership teams.
• Help clients understand AI capabilities, limitations, risks, and implementation considerations.

• Partner with Solution Architects and AI Engineers to align business requirements with technical solutions.
• Support development teams during solution design and implementation.
• Participate in testing, validation, and user acceptance activities.
• Assist with change management, adoption planning, and business readiness activities.

Requirements Required Qualifications

• Bachelor's degree in Business, Information Systems, Data Analytics, Operations Management, or related field, or equivalent experience.
• 3?7 years of experience as a Business Analyst, Process Analyst, Management Consultant, or similar role.
• Strong experience conducting stakeholder interviews and business process analysis.
• Experience documenting requirements, workflows, and business processes.
• Strong communication and presentation skills.
• Ability to facilitate workshops and lead discovery sessions.
• Experience working with cross-functional business and technical teams.

• Experience with Data & Analytics initiatives.
• Experience with AI, Generative AI, Machine Learning, or Intelligent Automation projects.
• Knowledge of process improvement methodologies such as Lean, Six Sigma, or Value Stream Mapping.
• Familiarity with Microsoft Fabric, Azure AI, Power BI, Copilot, Azure OpenAI, or similar platforms.
• Experience developing business cases and ROI models.
• Consulting or professional services experience.

Key Skills Business Skills

• Business Process Analysis
• Requirements Gathering
• Stakeholder Management
• Workshop Facilitation
• Strategic Thinking
• Business Case Development
• Change Management

• Data Analytics
• AI & Generative AI Concepts
• Process Automation
• Data Governance
• Reporting & Visualization
• Enterprise Applications

• Curiosity and critical thinking
• Strong questioning and listening skills
• Executive presence
• Problem-solving mindset
• Relationship building
• Ability to simplify complex concepts

Success Metrics The successful candidate will be measured on:

• Number of business discovery engagements completed
• AI and automation opportunities identified
• Estimated and realized business value generated
• Client satisfaction scores
• Quality and completeness of requirements documentation
• Adoption and success of delivered AI and data solutions
• Contribution to pipeline generation and expansion opportunities