AI Business Analyst – Job Description
Mandatory Requirements
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5+ years of experience working as a Business Analyst or Systems Analyst in technology-driven environments.
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Strong understanding of AI/ML concepts, data-driven decision-making, analytics workflows, and modern digital platforms.
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Proven experience working across the product development lifecycle (requirements, design, UAT, go‑live, and post‑implementation support).
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Ability to understand, analyze, and translate complex business processes into functional and technical requirements.
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Strong analytical mindset with the ability to research, interpret, and present insights to drive business solutions.
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Excellent communication and interpersonal skills, capable of working with stakeholders at all organizational levels.
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Experience with data analysis, KPI definition, dashboarding, and converting analytical findings into business value.
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Familiarity with predictive modelling, AI solution use cases, automation opportunities, and workflow optimization.
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Experience collaborating with engineering, QA, data science, and product teams in quick-paced environments.
Responsibilities
Business Analysis Requirements
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Elicit, gather, and document business requirements for AI, analytics, and automation initiatives.
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Convert business needs into functional specifications, user stories, process flows, and acceptance criteria.
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Serve as the bridge between business teams, AI/ML teams, product owners, and engineering.
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Participate in solutioning workshops to align business needs with technical capabilities.
AI/ML Data Solution Support
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Work with data scientists to translate business challenges into AI/ML use cases and measurable outcomes.
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Assist in model validation, data quality checks, feature inputs,
and business interpretation of model results.
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Help define KPIs, measurement criteria, and success metrics for AI-driven processes.
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Support development of analytics dashboards, reporting frameworks, and decision-support tools.
Project Execution Collaboration
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Support solution design activities including process optimization, automation, and data transformation.
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Perform data analysis, validation, mapping, and transformation for system inputs/outputs.
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Participate in and support all testing cycles including functional testing, UAT, and regression.
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Develop user guides, training materials, and conduct stakeholder training sessions.
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Assist in project planning, tracking activities, documentation preparation, and project communication.
Implementation Post-Implementation
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Support integrations between AI systems, enterprise platforms, and third-party applications.
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Monitor system performance, help troubleshoot issues, and recommend continuous improvements.
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Work with cross-functional teams to ensure smooth product rollouts and enhancements.
Key Skills
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Requirements analysis documentation
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Process modelling (BPMN, flowcharts, user journeys)
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AI/ML concepts (basic understanding of models, data pipelines, automation logic)
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Data analysis visualization (Excel, SQL, Power BI, Tableau)
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Agile methodologies, JIRA/Confluence
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Strong problem-solving and stakeholder management skills
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Ability to work independently and lead cross-functional discussions
Optional / Good-to-Have
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Experience in RPA, intelligent automation, or conversational AI.
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Background in product-based or platform-based solution design.
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Exposure to cloud platforms (Azure, AWS, GCP).
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Certifications in Business Analysis (CBAP, CCBA), Product Ownership, or Agile.
📌 Systems Integration Senior Specialist (India)
🏢 NTT
📍 India