AI Business Analyst - Job Description

Mandatory Requirements

- 5+ years of experience working as a Business Analyst or Systems Analyst in technology-driven environments.

- Strong understanding of AI/ML concepts, data-driven decision-making, analytics workflows, and modern digital platforms.

- Proven experience working across the product development lifecycle (requirements, design, UAT, go‑live, and post‑implementation support).

- Ability to understand, analyze, and translate complex business processes into functional and technical requirements.

- Strong analytical mindset with the ability to research, interpret, and present insights to drive business solutions.

- Excellent communication and interpersonal skills, capable of working with stakeholders at all organizational levels.

- Experience with data analysis, KPI definition, dashboarding, and converting analytical findings into business value.

- Familiarity with predictive modelling, AI solution use cases, automation opportunities, and workflow optimization.

- Experience collaborating with engineering, QA, data science, and product teams in fast-paced environments.

Responsibilities

Business Analysis & Requirements

- Elicit, gather, and document business requirements for AI, analytics, and automation initiatives.

- Convert business needs into functional specifications, user stories, process flows, and acceptance criteria.

- Serve as the bridge between business teams, AI/ML teams, product owners, and engineering.

- Participate in solutioning workshops to align business needs with technical capabilities.

AI/ML & Data Solution Support

- Work with data scientists to translate business challenges into AI/ML use cases and measurable outcomes.

- Assist in model validation, data quality checks, feature inputs,



and business interpretation of model results.

- Help define KPIs, measurement criteria, and success metrics for AI-driven processes.

- Support development of analytics dashboards, reporting frameworks, and decision-support tools.

Project Execution & Collaboration

- Support solution design activities including process optimization, automation, and data transformation.

- Perform data analysis, validation, mapping, and transformation for system inputs/outputs.

- Participate in and support all testing cycles including functional testing, UAT, and regression.

- Develop user guides, training materials, and conduct stakeholder training sessions.

- Assist in project planning, tracking activities, documentation preparation, and project communication.

Implementation & Post-Implementation

- Support integrations between AI systems, enterprise platforms, and third-party applications.

- Monitor system performance, help troubleshoot issues, and recommend continuous improvements.

- Work with cross-functional teams to ensure smooth product rollouts and enhancements.

Key Skills

- Requirements analysis & documentation

- Process modelling (BPMN, flowcharts, user journeys)

- AI/ML concepts (basic understanding of models, data pipelines, automation logic)

- Data analysis & visualization (Excel, SQL, Power BI, Tableau)

- Agile methodologies, JIRA/Confluence

- Strong problem-solving and stakeholder management skills

- Ability to work independently and lead cross-functional discussions

Optional / Valuable-to-Have

- Experience in RPA, intelligent automation, or conversational AI.

- Background in product-based or platform-based solution design.

- Exposure to cloud platforms (Azure, AWS, GCP).

- Certifications in Business Analysis (CBAP, CCBA), Product Ownership, or Agile.

📌 Systems Integration Senior Specialist (Noida)
🏢 NTT Data
📍 Noida