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Systems Integration Senior Specialist

NTT Data

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 / Good-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.

Vacancy posted 14 days ago
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