Senior Business Analyst - Data & Automation (Remote)

NTT Global Data Centers Americas, Inc.; United States; Remote; USD 118,000 - 169,000; Full time

Benefits offered by this job

Paid time off

Medical, dental, and vision benefits

401k retirement plan

Remote work stipend

Job summary

NTT Global Data Centers Americas, Inc. seeks a seasoned Business Analyst to enable operational excellence through scalable tooling platforms and analytics.

You will support global construction initiatives by integrating monitoring, automation, and reporting tools while partnering with cross-functional teams to align capabilities with strategic goals. You will lead data architecture and visualization projects, define KPI frameworks, build dashboards, and translate complex analyses into clear

Qualifications

• 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.
• 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

• Bridge between business needs and technology solutions; translate 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.
• Data Foundations & Performance Measurement
• 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.
• Analytics & Strategic Impact
• 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.
• Data Products, Automation & Tooling
• 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.
• Machine Learning, AI & Advanced Modeling
• 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.
• Leadership, Influence & Capability Building
• 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.

Skills

Data analysis

Python

SQL

R

Excel

Statistical modeling

Business intelligence

Power BI

Tableau

Data visualization

Education

Bachelor's degree in a quantitative or technology-related discipline

Master’s degree in quantitative/technical field

PMP / PMI-PBA

ITIL

Six Sigma or process-improvement certifications

Tools

Power BI

Tableau

Python IDEs

Job description

NTT Global Data Centers Americas, Inc. seeks a seasoned Business Analyst to enable operational excellence through scalable tooling platforms and analytics.

You will support global construction initiatives by integrating monitoring, automation, and reporting tools while partnering with cross-functional teams to align capabilities with strategic goals. You will lead data architecture and visualization projects, define KPI frameworks, build dashboards, and translate complex analyses into clear