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 Senior Business Intelligence Analyst is accountable for defining, designing and implementing end to end use-cases on our global, cross functional data repository and reporting platform. This role ensures that the platform’s data, analytics, and integration architecture is leveraged to drive data into insights that drive business value using analytics, data visualization, and AI.The role acts as a solution architect and a technical authority for translating business and data requirements into robust architectural designs and ensuring architectural integrity across all releases. The role implements data ingestion pipelines, complex semantic models and delivers value driven visualizations and data outputs
What we are looking for
Key Roles and Responsibilities:
> Define and own the solution architecture for the semantic parts and use cases on the reporting platform, including data ingestion, transformation, semantic models, analytics, and consumption layers.
> Design scalable and secure data architecture patterns aligned with the Global Data Platform and enterprise architecture standards.
> Translate business and functional requirements into end-to-end technical designs, ensuring feasibility, performance, and maintainability.
> Lead architectural decision-making for new capabilities, enhancements, and integrations, including trade-off analysis across cost, performance, and complexity.
> Assess technical feasibility and lead proofs of concept (PoCs) for new requirements, technologies, and architectural patterns.
> Collaborate closely with IT’s Data Foundation team to guide ETL implementation, ensuring adherence to agreed architectural designs.
> Build semantic layers on top of DB/Datalake/Warhousing layers - Define and maintain architecture documentation, including logical, physical, and data flow diagrams.
> Ensure robust data governance, security, and access control are embedded in the solution design.
> Support user onboarding and adoption from a technical enablement perspective, ensuring solutions are intuitive, performant, and fit for purpose.
> Provide architectural oversight for support, incidents, and enhancements, ensuring root causes are addressed structurally rather than tactically.
KNOWLEDGE & ATTRIBUTES:
> Advanced analytical mindset with the ability to structure ambiguous business problems, identify relevant data sources, and translate findings into clear, decision-ready insights.
> Ability to translate complex business and functional requirements into clear, actionable technical designs across ingestion, transformation, semantic modelling, reporting, and consumption layers.
> Strong understanding of business intelligence, data architecture, semantic modelling, data visualisation, and analytics delivery in enterprise environments.
> Strong knowledge of data governance, data quality, data protection, privacy, security, and access control principles, with the judgement to embed them pragmatically into solution design.
> Proficient in advanced analytics and reporting tools, including Excel, Power BI, SQL-based analysis, semantic models, DAX, and modern cloud data platform capabilities.
> Strong ability to identify trends, anomalies, root causes, business opportunities, and risks from complex internal and external datasets.
> Excellent communication, listening, interpersonal, and presentation skills, with the ability to explain technical topics to non-technical stakeholders and influence decisions across multiple teams.
> Strong collaboration skills and ability to build trusted working relationships with business stakeholders, IT delivery teams, data governance, security, and platform teams.
> High attention to detail, strong ownership mindset, and disciplined approach to documentation, requirements quality, testing, validation, and continuous improvement.
> Self-directed, highly organised, outcome-oriented, and able to independently coordinate multiple assignments while maintaining delivery quality in a global, cross-functional environment.
ACADEMIC QUALIFICATIONS & CERTIFICATIONS:
• Bachelor’s degree in a relevant discipline such as Computer Science, Information Systems, Data Analytics, Business Intelligence, Engineering, Mathematics, Statistics, Finance, Business Administration, or a related field.
• Advanced degree or postgraduate qualification in data, analytics, technology, or business is advantageous but not mandatory.
• Relevant professional certifications are advantageous, for example Microsoft Power BI Data Analyst, Microsoft Fabric, Azure Data Engineer, Azure Data Fundamentals, Databricks, SQL, data governance, data privacy, or agile delivery certifications.
• Equivalent combination of education, professional certifications, and demonstrable enterprise analytics experience may be considered.
REQUIRED EXPERIENCE:
> Advanced demonstrated experience working in a business intelligence, analytics, data product, or solution architecture capacity within a complex enterprise environment.
> Proven experience translating business needs into end-to-end analytics solutions, including requirements definition, data sourcing, modelling, dashboard design, testing, deployment, and adoption support.
> Advanced experience working with data collection, ingestion, transformation, validation, reconciliation, and reporting tools across internal and external data sources.
> Strong hands-on experience with Power BI architecture, including report development, semantic models, DAX, performance optimisation, row-level security, deployment pipelines, and governed shared datasets.
> Experience with modern data platforms and cloud-based analytics capabilities, such as Azure Data Factory, Microsoft Fabric, Databricks, SQL databases, data lakes, APIs, or comparable technologies.
> Experience producing Excel-based and BI-based reporting, analytics outputs, briefing notes, dashboards, metrics layers, and executive-ready insights used to inform business decisions.
> Demonstrated experience identifying trends, patterns, anomalies, business drivers, risks, and improvement opportunities from large or complex datasets.
> Experience collaborating with business stakeholders, IT delivery teams, enterprise architecture, data governance, security, and privacy stakeholders to deliver secure, scalable, and maintainable analytics solutions.
> Experience documenting requirements, specifications, data flows, business rules, metrics definitions, technical designs, testing outcomes, and operational support procedures.
> Experience providing support, resolving business and data issues, recommending process improvements, and improving the accuracy, relevance, usability, and actionability of analytics outputs.
Who we are
As the third largest data center provider, we operate over 150 data centers in more than 20 countries and regions. We understand that every business – large and small – has its own unique needs and goals. We offer local-to-global data center expertise, aligned with our connected platform of AI-ready data centers to create solutions that enable our clients to seamlessly scale their digital businesses, anywhere and anytime.
Skills Required
- Bachelor's degree in Computer Science, Information Systems, Data Analytics, Business Intelligence, Engineering, Mathematics, Statistics, Finance, Business Administration, or a related field
- Advanced demonstrated experience in business intelligence, analytics, data products, or solution architecture within a complex enterprise environment
- Experience translating business needs into end-to-end analytics solutions, including requirements definition, data sourcing, modeling, dashboard design, testing, deployment, and adoption support
- Advanced experience with data collection, ingestion, transformation, validation, reconciliation, and reporting tools
- Strong hands-on experience with Power BI architecture, report development, semantic models, DAX, performance optimization, row-level security, deployment pipelines, and governed shared datasets
- Experience with modern data platforms and cloud analytics capabilities such as Azure Data Factory, Microsoft Fabric, Databricks, SQL databases, data lakes, APIs, or comparable technologies
- Experience producing Excel-based and BI-based reporting, dashboards, metrics layers, briefing notes, and executive-ready insights
- Experience identifying trends, patterns, anomalies, business drivers, risks, and improvement opportunities from complex datasets
- Experience collaborating with business stakeholders, IT delivery, enterprise architecture, data governance, security, and privacy teams
- Experience documenting requirements, specifications, data flows, business rules, metric definitions, technical designs, testing outcomes, and support procedures
- Experience providing support, resolving business and data issues, and improving analytics accuracy, usability, and actionability
- Advanced degree or postgraduate qualification in data, analytics, technology, or business
- Relevant certifications such as Microsoft Power BI Data Analyst, Microsoft Fabric, Azure Data Engineer, Azure Data Fundamentals, Databricks, SQL, data governance, data privacy, or agile delivery
What We Do
NTT Ltd. is a leading, global technology services company. We’re here to enable the connected future. We come together to make the world a better place, and every day we use the power of technology to make it happen. We employ curious people who are ready to change the world. Through the work we do with our clients and in our communities, we find ways that technology can make a positive impact. We call it technology for good. That’s our focus and it extends well beyond the bottom line. We believe in using technology for good. This means helping organizations and society transform and move into the future with a partner they can trust. At the heart of our business are relationships built on loyalty, commitment and a shared belief in what’s possible when we work together: a better world for us all to live in. Working with organizations around the world, we achieve business outcomes through intelligent technology solutions. For us, intelligent means data driven, connected, digital and secure. Through our full range of unparalleled capabilities, we empower people, strategy, operations and technology, while our platforms provide a single view across hybrid environments. This gives our clients better insight to make the right decisions at the right time and achieve their business modernization and transformation goals. A new idea becomes a great idea when it helps to make the world a better place. We’re constantly innovating. It is, and always has been, the essence of what sets us apart. We harness the collective effort of our people, together with external innovators and innovations, to drive excellence through the technologies we integrate and the services we deliver. Technology enables connection. And connections create understanding. The result is connected cities, factories, healthcare, agriculture, conservation, and even connected sport. Together we enable the connected future. Everything is iNTTerconnected.
