NTT DATA  Services

Systems Integration Senior Analyst

NTT DATA Services Noida, Uttar Pradesh, India

IT Services and IT Consulting · 10,001+ employees

Oct 01
Senior (5-10 yrs) Full-time India
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About the role

The role involves eliciting and documenting business requirements for AI and analytics initiatives while serving as a bridge between business and technical teams. Responsibilities also include supporting model validation, defining KPIs, and ensuring smooth system integrations and product rollouts.

What they look for

Business Analysis Systems Analysis AI/ML Concepts Data Analysis Requirements Elicitation Process Modelling BPMN SQL Power BI Tableau Agile Methodologies JIRA Confluence Stakeholder Management Automation Predictive Modelling

Requirements

Candidates must have at least 5 years of experience as a Business or Systems Analyst in technology-driven environments. Strong proficiency in AI/ML concepts, data analysis, and translating complex business processes into technical requirements is essential.

Full description

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.