Senior Data & Analytics Operations Analyst

NTT Global Data Centers Americas, Inc.; Hemel Hempstead; On-site; GBP 55,000 - 90,000; Full time

Job summary

NTT Global Data Centers Americas, Inc. is seeking a Senior Business Operations Analyst - Data Office to translate complex business needs into actionable data solutions.

You will collaborate with stakeholders, IT, and partners to define requirements, design semantic models, and ensure governance across data products, reports, and dashboards. The role spans business analysis, requirements definition, process mapping, testing, deployment, and adoption, supporting a scalable, AI-enabled data

Qualifications

• Bachelor’s degree or equivalent in Business, Information Technology, Data, Analytics, or related field.
• Advanced experience as a Business Analyst in technology services, data, analytics, or platform delivery.
• Experience with data products, reporting platforms, dashboards, data warehouse capabilities, ETL, and governance.
• Strong documentation of requirements, user stories, acceptance criteria, and testing materials.

Responsibilities

• Act as the business analysis lead for data, reporting, analytics, and platform use cases.
• Translate business requirements into functional specifications, user stories, acceptance criteria, and reporting logic.
• Analyze current-state processes and data flows to define target-state improvements.
• Coordinate validation, UAT, and business readiness activities for new solutions.
• Ensure data governance, security, access control, and enterprise architecture considerations.

Skills

Power BI

Excel

Stakeholder facilitation

Requirements gathering

User stories

Process mapping

Data governance

Data quality

Analytics

Reporting

Education

Bachelor’s degree in Business/IT/Data/Analytics

Tools

ServiceNow

SAP

Microsoft Fabric

Azure

Job description

NTT Global Data Centers Americas, Inc. is seeking a Senior Business Operations Analyst - Data Office to translate complex business needs into actionable data solutions.

You will collaborate with stakeholders, IT, and partners to define requirements, design semantic models, and ensure governance across data products, reports, and dashboards. The role spans business analysis, requirements definition, process mapping, testing, deployment, and adoption, supporting a scalable, AI-enabled data