Business Analyst

NTT Global Data Centers is a leading provider of data center solutions, focusing on innovation and sustainability in the digital world. The Business Analyst will play a crucial role in enabling operational excellence through scalable tooling platforms and actionable analytics, supporting global construction initiatives, and driving innovation in data architecture and visualization.

Responsibilities:

• Act as a bridge between business needs and technology solutions, translating complex requirements into actionable deliverables
• Analyze, transform, and resolve business problems through data-driven and technology-enabled solutions
• Work with internal stakeholders to determine business requirements using best‑practice methodologies
• Deliver business projects in alignment with sponsor expectations and enterprise architecture standards
• Partner with cross‑functional teams to ensure tooling, data, and analytics capabilities support evolving strategic goals
• Build and maintain foundational datasets reflecting infrastructure usage, efficiency, and scalability
• Define and operationalize KPI frameworks and success metrics to monitor global construction and infrastructure performance
• Establish source‑of‑truth dashboards and reporting that guide infrastructure, investment, and product decisions
• Define, track, and continually refine metrics that evaluate model effectiveness and drive performance improvement
• Lead end‑to‑end analytics initiatives to inform infrastructure strategy, investment prioritization, and operational excellence
• Conduct scenario modeling, forecasting, and sensitivity analyses to identify risks, gaps, and growth opportunities
• Apply advanced statistical and analytical methods to solve complex problems using large structured and unstructured datasets
• Translate complex analytical outputs into clear, explainable insights for executive and non‑technical stakeholders
• Develop and maintain scalable tooling platforms that support operational excellence across global construction
• Identify, design, and automate recurring reporting, analytics workflows, and data processes using scalable data products and agentic solutions
• Integrate monitoring, automation, and reporting tools to enhance visibility, performance, and compliance
• Deliver dynamic, executive‑ready dashboards that enable real‑time KPI tracking and decision‑making
• Oversee the development, testing, and deployment of machine learning and AI models used for analytics, prediction, personalization, and optimization
• Ensure robust performance measurement, drift monitoring, and continuous improvement of deployed models
• Drive innovation in model development, data architecture, and visualization to support transparency and continuous improvement
• Elevate analytics maturity by mentoring team members and cross‑functional partners
• Promote best practices in data governance, experimentation, model measurement, and performance management
• Champion high‑quality documentation including requirements, test cases, workflows, and user guides
• Foster stakeholder alignment through clear communication, structured problem‑solving, and results‑oriented delivery

Requirements:

• Bachelor's degree in a quantitative or technology‑related discipline (e.g., Statistics, Operations Research, Econometrics, Computer Science, Engineering, Business, Information Technology) or equivalent practical experience
• 7+ years of experience in a highly quantitative role, ideally within a high‑growth or research‑driven environment
• Strong analytical skills with demonstrated experience working on large, complex datasets
• Demonstrated experience defining and operationalizing system performance, resource utilization, and efficiency metrics from the ground up
• Proven track record of building complex datasets and analytical models that influence technical and strategic decisions
• Advanced knowledge of statistical modeling, experimental design, and quantitative analysis
• Strong proficiency in Python (preferred), with additional capability in SQL and R
• Experience working with large datasets
• Ability to translate complex analytical outputs into clear, explainable, auditable insights for executive audiences
• Advanced Excel skills for business analysis and modeling
• Seasoned experience in business‑requirements gathering, use‑case definition, and process mapping
• Proven ability to contribute to performance strategies that drive operational excellence and business outcomes
• Extended knowledge of data center facilities, infrastructure, best practices, and industry standards
• Extended communication and interpersonal skills for effective collaboration, stakeholder management, and reporting
• Extended problem-solving and analytical abilities to address complex challenges
• Commitment to continuous learning and staying updated with industry trends and best practices
• Good financial acumen, budgeting skills, and seasoned understanding of business practices and processes
• Excellent team player with a strong service orientation and meticulous attention to detail while working under pressure
• Excellent verbal and written communication skills
• Knowledge of process mapping and project management methodologies
• Strong analytical skills to convert business requirements into operational deliverables
• Proficiency in documentation including functional requirements, test cases, and user guides
• Master's degree in a quantitative or technical field
• Project management certification (e.g., PMP, PMI‑PBA)
• Relevant technology certification(s) such as ITIL
• Six Sigma or other process‑improvement certifications
• Proficiency with BI and visualization tools such as Power BI or Tableau
• Seasoned experience as a Business Analyst within a technology‑services environment
• Seasoned experience as a system administrator or developer
• Experience implementing new services and systems
• Seasoned experience with all operational aspects of a services business, preferably within a systems‑integrator environment
• Experience managing or supporting data‑center construction or infrastructure‑scale projects (optional but relevant to your org)