Data Analyst II - Spares Supply Chain

OverviewMicrosoft's Cloud business is expanding, and the Cloud Supply Chain (CSCP) organization is responsible for enabling the infrastructure underlying this growth including AI! CSCP's vision is to empower customers to achieve more by delivering Cloud Capacity Differentiated at Scale. Our mission is to deliver capacity for all cloud services predictably through intelligent systems driven by continuous learning and a world class organization. The CSCP Organization is responsible for traditional supply chain functions such as Plan, Source, Make, Deliver, but also manages supportability (spares), decommissioning and disposition of Data center assets worldwide. We deliver the core infrastructure and foundational technologies for Microsoft's over 200 online businesses including Bing, MSN, Office 365, Xbox Live, Skype, OneDrive and the Microsoft Azure platform for external customers. Our infrastructure is comprised of a large global portfolio of more than 200 datacenters supporting services for more than 1 billion customers in over 90 countries worldwide. The Spares Supply Chain organization is reinventing and transforming the cloud service parts supply chain to ensure that the right spare parts are in the right place at the right time to support global capacity requirements and make sure our customers have the cloud capacity they need when they need it. We have an exciting opportunity on the Spares Supply Chain team for a Data Analyst II to help transform our supply chain through effective use of Data Analytics and automation. In this role, you will develop and implement data-driven solutions to solve business problems across the end-to-end spare parts supply chain, leveraging structured and unstructured data from a variety of sources along with data science and automation technologies such as AI Copilot, Machine Learning, Power Automate and Power Apps. A successful candidate will have a combination of business acumen, analytical and problem-solving skills, experience in coding & scripting and cleaning, processing, and handling varied forms of structured and unstructured data, as well as data visualization & storytelling and project/program management skills.Responsibilities1. Develop, implement and support data-oriented solutions to solve business needs across the spares supply chain organization.2. Perform data analysis and visualization using appropriate tools including SQL, Kusto, Power BI and Excel.3. Apply statistical analysis, Machine Learning, Generative AI, optimization and other advanced analytical techniques as appropriate to provide actionable insights and improve decision-making.4. Develop solutions leveraging automation technologies such as Power Automate, PowerApps and Copilot to automate and transform business processes.5. Coordinate across business, engineering, finance and operations teams to define, scope and prioritize business problems to be addressed.6. Articulate project goals and scope, translate business needs into technical terms, establish key performance indicators, and manage the lifecycle of dynamic projects.7. Cultivate strategic relationships across teams and organizations, and influence business and technical decision makers through verbal, written and visual communication.8. Embody our Culture and Values.

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