Senior Associate Business Intelligence Analyst

As a Business Intelligence Analyst at NTT Global Data Centers, your primary focus will be on semantic-level data modeling of the central reporting repository and visualization of data. You will be responsible for integrating and harmonizing diverse datasets across functions in the existing data model, ensuring consistency and usability while incorporating more data points and dimensions. Your role will also involve productizing dashboards and transforming data into actionable insights and user-ready analytics for internal users through various channels. Key Responsibilities: - Analyze complex business problems and issues using data from internal and external sources to provide insights to decision-makers. - Create specifications for reports and analysis based on business needs and required or available data elements. - Contribute technical insight, suggestions, and knowledge to others within the relevant teams. - Design and maintain business intelligence reports and analytics. - Identify relevant sources of data from which to draw information. - Maintain processes for ensuring data accuracy, current relevance, and representation. - Identify process improvements to streamline data collection and report generation. Main Tasks: - Design, align, and standardize a central semantic data model, ensuring integration of diverse datasets, model security, and adherence to data governance best practices. - Monitor and optimize data model performance; maintain scalable, secure, and high-performing models for reporting, AI, and advanced analytics. - Productize dashboards and analytics: develop, document, and maintain user-ready, actionable insights with robust dashboarding and enablement support. - Operational support & ticketing: address dataset refresh incidents, schema or access changes, and coordinate with source teams on upstream issues. - Drive AI readiness of the model and its integration into existing AI tools (MS Copilot, ). Skills Required: - Advanced Power BI skills including data modeling/star schema, DAX, and performance tuning, as well as semantic model stewardship. - Solid SQL skills, data wrangling, and refresh orchestration; understanding of dataset/source governance and change control. - Familiarity with Azure ADF/Fabric/Databricks concepts; ability to collaborate with data engineers on pipeline readiness. - Proven enablement materials creation such as visual insights, tooltips, and user guides. Soft Skills: - Fluent in English language, both written and verbal. - Analytical, problem-solving, and communication skills. - Strong focus on quality and scalability of concepts and implementations. - Customer-centric communicator who can translate complex data topics into crisp business messages. - Meticulous attention to detail; calm under time pressure with multiple stakeholders. - Collaborative problem-solver who elevates standards and shares knowledge. - Self-directed, highly organized, and able to independently coordinate multiple assignments. Experience Required: - Seasoned experience working in an analytics capacity. - Seasoned experience working with data collection tools and software. - Seasoned experience developing and maintaining a cross-functional data repository. - Seasoned experience producing PowerBI-based reporting. Join NTT Global Data Centers, the third largest data center provider, operating over 150 data centers in more than 20 countries and regions. Benefit from local-to-global data center expertise, aligned with a connected platform of AI-ready data centers to create solutions that enable clients to seamlessly scale their digital businesses, anywhere and anytime. As a Business Intelligence Analyst at NTT Global Data Centers, your primary focus will be on semantic-level data modeling of the central reporting repository and visualization of data. You will be responsible for integrating and harmonizing diverse datasets across functions in the existing data model, ensuring consistency and usability while incorporating more data points and dimensions. Your role will also involve productizing dashboards and transforming data into actionable insights and user-ready analytics for internal users through various channels. Key Responsibilities: - Analyze complex business problems and issues using data from internal and external sources to provide insights to decision-makers. - Create specifications for reports and analysis based on business needs and required or available data elements. - Contribute technical insight, suggestions, and knowledge to others within the relevant teams. - Design and maintain business intelligence reports and analytics. - Identify relevant sources of data from which to draw information. - Maintain processes for ensuring data accuracy, current relevance, and representation. - Identify process improvements to streamline data collection and report generation. Main Tasks: - Design, align, and standardize a central semantic data model, ensuring integration of diverse