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.

AI & Data Opportunity Identification

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.

Requirements Gathering & Documentation

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.

Client Engagement

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.

Solution Planning & Delivery Support

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.

Preferred Qualifications

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

Technical Awareness

Data Analytics

AI & Generative AI Concepts

Process Automation

Data Governance

Reporting & Visualization

Enterprise Applications

Soft Skills

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

Originally posted on Himalayas