Microsoft's Cloud business is experiencing explosive growth, and the Cloud Supply Chain (CSCP) organization needs to deliver the world's computer with an industry-leading supply chain, supporting Microsoft's 200+ online businesses including Azure, Office 365, Bing, Xbox Live, and OneDrive, by 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
Requirements
- Expertise working with large-scale data sets, data management and analytics tools (e.g. SQL, Kusto, Python, Azure Data Explorer, Power BI, PowerApps) to derive insights and drive decision-making and process improvements
- Familiarity with data warehousing, Extract Transform and Load (ETL) processes, and data integration tools (e.g. Azure Data Factory, Azure Synapse)
- Experience applying automation tools such as Power Automate to automate business processes
- Knowledge of AI, Machine Learning, Optimization and related Data Science techniques
- Proficient with Microsoft M365 applications including advanced Excel skills
- Data visualization and storytelling experience
- Experience working with operations teams to understand business needs, develop and deploy solutions and performance metrics
Responsibilities
- Develop, implement and support data-oriented solutions to solve business needs across the spares supply chain organization
- Perform data analysis and visualization using appropriate tools including SQL, Kusto, Power BI and Excel
- Apply statistical analysis, Machine Learning, Generative AI, optimization and other advanced analytical techniques as appropriate to provide actionable insights and improve decision-making
- Develop solutions leveraging automation technologies such as Power Automate, PowerApps and Copilot to automate and transform business processes
- Coordinate across business, engineering, finance and operations teams to define, scope and prioritize business problems to be addressed
- Articulate project goals and scope, translate business needs into technical terms, establish key performance indicators, and manage the lifecycle of dynamic projects
- Cultivate strategic relationships across teams and organizations, and influence business and technical decision makers through verbal, written and visual communication
Other
- Master's Degree in Statistics, Mathematics, Analytics, Data Science, Engineering, Computer Science, Business, Economics or related field AND 1+ years experience in data analysis and reporting, data science, business intelligence, or business and financial analysis
- Ability to meet Microsoft, customer and/or government security screening requirements are required for this role
- 1+ years of experience in industrial engineering, Operations research or related field
- Demonstrated ability to communicate with and influence diverse technical and non-technical groups, spanning all organizational levels in a highly matrixed environment
- Understanding of key IT and service industry concepts and the software development lifecycle, including gathering, analyzing, and defining business and functional requirements
