Business Analyst, GID Operational Excellence
Listed on 2026-06-29
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IT/Tech
Business Systems/ Tech Analyst, Data Analyst
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 glanceThe 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.
ResponsibilitiesCore Business Analysis & Strategic Alignment
- 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 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.
- 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…
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