Business Intelligence Analyst

NTT DATA is a business and technology services leader focused on enterprise-scale AI, cloud, security, connectivity, data centers, and application services. The Business Intelligence Analyst will support program operations, resource planning, decision support, and delivery enablement by analyzing operational, resource, financial, schedule, and delivery data. The role will develop reporting and dashboards, support process improvements and responsible AI initiatives, and provide actionable recommendations to leaders.

Responsibilities:

• Collect, validate, organize, and analyze data from approved sources to support decisions related to resource deployment, staffing, scheduling, spend, delivery performance, and operational priorities
• Create and maintain recurring dashboards, reports, trackers, and executive summaries using approved tools and defined data sources
• Identify trends, variances, capacity concerns, data-quality issues, and operational dependencies; document assumptions and escalate material findings
• Translate analytical findings into clear options and actionable recommendations, including capacity, utilization, demand, cost, and delivery-impact scenarios
• Respond to standard ad hoc data and reporting requests and publish results through well-developed business intelligence interfaces
• Support capacity planning and resource-allocation activities, including maintaining demand, role, assignment, onboarding, and forecast information
• Compare planned demand with available capacity and highlight potential overcapacity, undercapacity, timing conflicts, and skill gaps
• Partner with operations, finance, and human resources stakeholders to map workflows, clarify data ownership, and improve reporting consistency
• Develop repeatable planning processes and documentation that improve visibility without creating unnecessary administrative burden
• Maintain confidentiality when handling employee, commercial, client, or program-sensitive information
• Gather and document business requirements for dashboards, trackers, workflow tools, automation, and other delivery capabilities
• Develop prototypes and low-code reporting solutions when appropriate, or coordinate with technical resources for more complex development
• Support user acceptance testing, data validation, documentation, training materials, and adoption of approved tools
• Map current-state workflows, identify inefficiencies or control gaps, and implement measurable process improvements with stakeholder support
• Maintain definitions, source-to-report traceability, version control, and operating instructions
• Support approved AI initiatives that improve productivity, reporting, knowledge management, and delivery execution
• Identify suitable use cases, define requirements, test outputs, document limitations, and measure expected business value
• Use only approved enterprise tools and follow applicable company, client, privacy, security, data-handling, and responsible-AI requirements
• Apply human review, source validation, and appropriate escalation to reduce inaccurate, sensitive, or unsupported outputs

Requirements:

• • Undergraduate degree in business analytics, business administration, information systems, data analytics, computer science, finance, operations, industrial engineering, or a related field, or comparable relevant experience consistent with company policy
• • 1+ years of relevant experience, including internships, co-ops, academic projects, consulting projects, or early-career work in business intelligence, analytics, business analysis, operations, finance, PMO, or technology delivery
• • 1+ years experience with data analysis and statistical concepts, including averages, distributions, trends, variance, and the relevance and limitations of information
• • 1+ Microsoft Excel and PowerPoint and experience publishing reports through Excel, Access, Power BI, or another standard business intelligence interface
• • Ability to structure ambiguous problems, validate information, document assumptions, independently resolve standard analytical assignments
• • Strong written and verbal communication skills, attention to detail, sound judgment, and commitment to confidentiality
• • Ability to collaborate across business and technical teams in a fast-paced, multi-partner environment
• • Ability to work effectively in a US Hybrid arrangement and participate in on-site activities based on business and client needs
• • Experience with Power BI or a comparable dashboard and data-visualization platform
• • Exposure to SQL, relational databases, data preparation, Access, or other analytical tools
• • Experience gathering requirements, mapping processes, developing reports, or supporting user acceptance testing
• • Familiarity with Microsoft 365, SharePoint, Teams, Power Automate, or approved low-code and AI capabilities
• • Experience with NTT DATA processes, systems, delivery methods, or internal business operations
• • Experience supporting telecommunications, infrastructure, managed services, major events, or a large technology program
• • Exposure to project or program management practices in a multi-client, multi-partner, or multi-vendor environment