Senior Business Intelligence Analyst

Global Data Centers Americas, Inc.; Mumbai; On-site; INR 1,500,000 - 2,500,000; Full time

Job summary

NTT Global Data Centers is seeking a Senior Business Intelligence Analyst to define, design and implement end-to-end use cases on our global data repository and reporting platform. This role translates business needs into robust architectures and drives value through analytics, data visualization and AI.

You will own the solution architecture for semantic parts, ensure scalable security, guide ETL, and collaborate with cross-functional teams to enable trusted insights and data-driven decisions.

Qualifications

• Advanced analytical mindset to structure ambiguous business problems.
• Translate business requirements into technical designs across ingestion, transformation, semantic modelling, reporting, and consumption layers.
• Strong BI, data architecture, semantic modelling, data visualisation, and analytics delivery in enterprise environments.
• Knowledge of data governance, data protection, privacy, security, and access control principles.
• Proficient in Excel, Power BI, SQL-based analysis, semantic models, DAX, and cloud data platform capabilities.

Responsibilities

• Define and own the solution architecture for 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/Warehouse 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.

Skills

Semantic modelling

Data architecture

Power BI

SQL

DAX

Data governance

Communication

Education

Bachelor's degree in Computer Science / Information Systems

Tools

Power BI

Job description

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

• 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, Microso