Business Analyst, GID Operational Excellence

NTT Global Data Centers

1d • Remote

About The Position

Make an impact at NTT Global Data Centers Join NTT Global Data Centers and be part of a team that drives innovation and sustainability in the digital world. With over 150 data centers across more than 20 countries globally, we offer unparalleled opportunities to work on cutting-edge technology and transformative projects. Experience a collaborative, innovative, and inclusive workplace where your ideas are valued, and your growth is supported. Your role at a glance The Business Analyst is a seasoned subject matter expert responsible for enabling operational excellence through scalable tooling platforms and actionable analytics. This role supports global construction initiatives by integrating monitoring, automation, and reporting tools, and partnering with cross-functional teams to align tooling capabilities with strategic goals. The analyst drives innovation in data architecture and visualization to support continuous improvement and transparency.

Requirements

• 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.
• 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.

Nice To Haves

• 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).

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.

Benefits

• Employees receive paid time-off, medical, dental, and vision benefits, life and supplemental insurance, short-term and long-term disability, flexible spending account, and 401k retirement plan to create a rich Total Rewards package.”
• A monthly stipend is provided to cover expenses associated with working remotely and use of a personal mobile device.

What This Job Offers

• Job Type: Full-time
• Career Level: Mid Level