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Senior Business Intelligence Analyst

NTT Global Data Centers Americas, Inc.
Maharashtra, IND
Full-time
Onsite
Discovered 4 weeks ago
Business intelligenceData architectureData ingestion and transformationSemantic modelingData visualization and analytics deliveryData governance and data quality

Full Job Posting

Role overview

The Senior Business Intelligence Analyst defines, designs, and implements end-to-end use cases on a global reporting platform and cross-functional data repository.

The role uses analytics, visualization, and AI to turn platform data into business value and acts as a solution architect and technical authority.

Architecture and delivery

  • Own reporting-platform solution architecture for ingestion, transformation, semantic models, analytics, and consumption layers.
  • Design scalable, secure architecture patterns and translate business requirements into feasible, performant, maintainable technical designs.
  • Lead architectural decisions for capabilities, enhancements, and integrations, evaluating cost, performance, and complexity trade-offs.
  • Assess feasibility and lead proofs of concept for new requirements, technologies, and architecture patterns.
  • Guide ETL implementation with the Data Foundation team and build semantic layers on database, data lake, and data warehouse layers.
  • Maintain logical, physical, and data-flow documentation.

Governance and enablement

  • Embed data governance, security, and access control in solution designs.
  • Support technical onboarding and adoption, ensuring solutions are intuitive, performant, and fit for purpose.
  • Oversee support, incidents, and enhancements, ensuring root causes are addressed structurally.

Knowledge and attributes

  • Requires advanced analytical ability and the ability to turn ambiguous business problems and complex data into clear, decision-ready insights.
  • Requires strong knowledge of business intelligence, data architecture, semantic modeling, visualization, and enterprise analytics delivery.
  • Requires knowledge of data governance, data quality, data protection, privacy, security, and access control.
  • Requires proficiency in Excel, Power BI, SQL-based analysis, semantic models, and DAX; knowledge of modern cloud data platforms is also sought.
  • Requires communication, presentation, collaboration, stakeholder influence, attention to detail, ownership, organization, and independent coordination across teams.

Academic qualifications

  • A bachelor’s degree in a relevant discipline, including computer science, information systems, data analytics, business intelligence, engineering, mathematics, statistics, finance, business administration, or a related field, is specified.

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