Data Analyst

Microsoft’s Cloud business is experiencing explosive growth, and the Cloud Supply Chain (CSCP) organization is responsible for enabling the infrastructure underlying this growth. Our mission is 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. In fact, we have been recognized as having a “Top 10” Supply Chain by Gartner! We focus on smart growth with an emphasis on automation, data-driven decision-making, cost‐effectiveness and environmental sustainability. Within CSCP, 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 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 then 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 Artificial Intelligence (AI) Copilot, Machine Learning, Power Automate and Power Apps.

Microsoft’s mission is to empower every person and every organization on the planet to achieve more. As employees we come together with a growth mindset, innovate to empower others, and collaborate to realize our shared goals. Each day we build on our values of respect, integrity, and accountability to create a culture of inclusion where everyone can thrive at work and beyond.

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.
  
  

Qualifications

Required/Minimum Qualifications:

• 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
• OR Bachelor's Degree in Statistics, Mathematics, Analytics, Data Science, Engineering, Computer Science, Business, Economics or related field AND 2+ years experience in data analysis and reporting, data science, business intelligence, or business and financial analysis
• OR equivalent experience.
• 1+ years of experience in industrial engineering, Operations research or related field
  

Other Requirements

• Ability to meet Microsoft, customer and/or government security screening requirements are required for this role. These requirements include, but are not limited to, the following specialized security screenings: Microsoft Cloud Background Check: This position will be required to pass the Microsoft Cloud background check upon hire/transfer and every two years thereafter.
  
  

Additional Or Preferred Qualifications

• 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.
• Understanding of key IT and service industry concepts and the software development lifecycle, including gathering, analyzing, and defining business and functional requirements
• Demonstrated ability to communicate with and influence diverse technical and non-technical groups, spanning all organizational levels in a highly matrixed environment
• Knowledge of supply chain management including demand & supply planning a plus
• Understanding of cloud infrastructure and datacenter technologies and operations
  
  

Business Analytics IC3 - The typical base pay range for this role across the U.S. is USD $85,100 - $169,800 per year. There is a different range applicable to specific work locations, within the San Francisco Bay area and New York City metropolitan area, and the base pay range for this role in those locations is USD $112,000 - $185,300 per year.

Certain roles may be eligible for benefits and other compensation. Find additional benefits and pay information here: https://careers.microsoft.com/us/en/us-corporate-pay

Microsoft will accept applications for the role until July 22, 2025.

#AHSI #CSCP

Microsoft is an equal opportunity employer. Consistent with applicable law, all qualified applicants will receive consideration for employment without regard to age, ancestry, citizenship, color, family or medical care leave, gender identity or expression, genetic information, immigration status, marital status, medical condition, national origin, physical or mental disability, political affiliation, protected veteran or military status, race, ethnicity, religion, sex (including pregnancy), sexual orientation, or any other characteristic protected by applicable local laws, regulations and ordinances. If you need assistance and/or a reasonable accommodation due to a disability during the application process, read more about requesting accommodations.