Senior AI & Analytics Business Analyst

NTT DATA North America; Dallas (TX); On-site; USD 60,000 - 70,000; Full time

Benefits offered by this job

Medical, dental, and vision insurance

Flexible spending or health savings

AD&D insurance

Employee assistance

401k program

Career development opportunities

Job summary

NTT DATA North America is seeking a seasoned Business Analysis Advisor in Dallas, TX to elicit and document requirements for AI, analytics, and automation initiatives. You will translate business needs into functional specs, user stories, and acceptance criteria while bridging business, AI/ML, product, and engineering teams.

You will partner with data scientists to translate challenges into AI use cases, validate models, define KPIs, and support dashboards and decision-support tools.

Qualifications

• 8+ years of experience as a Business Analyst or Systems Analyst in technology-driven environments.
• 3+ years exp. for AI/ML concepts, data-driven decision-making, analytics workflows, and modern digital platforms.
• 5+ yrs Proven experience across the product development lifecycle (requirements, design, UAT, go-live, and post-implementation support).
• 5+ yrs -Ability to understand, analyze, and translate complex business processes into functional and technical requirements.
• 5+ yrs -Strong analytical mindset with the ability to research, interpret, and present insights to drive business solutions.
• 5+ yrs -Excellent communication and interpersonal skills, capable of working with stakeholders at all organizational levels.
• 5+ yrs -Experience with data analysis, KPI definition, dashboarding, and converting analytical findings into business value.
• 5+ yrs -Familiarity with predictive modelling, AI solution use cases, automation opportunities, and workflow optimization.
• 5+ yrs -Experience collaborating with engineering, QA, data science, and product teams in fast-paced environments.

Responsibilities

• 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.
• Bridge between business teams, AI/ML teams, product owners, and engineering.
• Participate in solutioning workshops to align business needs with technical capabilities.
• 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.
• 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.
• 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.

Skills

Business Analysis

Requirements Elicitation

AI/ML concepts

Data analytics

Stakeholder management

Engineering collaboration

RPA / Intelligent automation

Cloud platforms (Azure AWS GCP)

Certifications (CBAP CCBA Agile)

Tools

Azure

AWS

GCP

Job description

NTT DATA North America is seeking a seasoned Business Analysis Advisor in Dallas, TX to elicit and document requirements for AI, analytics, and automation initiatives. You will translate business needs into functional specs, user stories, and acceptance criteria while bridging business, AI/ML, product, and engineering teams.

You will partner with data scientists to translate challenges into AI use cases, validate models, define KPIs, and support dashboards and decision-support tools.