Data Analyst II

Overview

Microsoft's Cloud business is expanding, and the Cloud Supply Chain (CSCP) organization is responsible for enabling the hardware infrastructure underlying this growth including AI! CSCP's vision is to empower customers to achieve more by delivering Cloud and AI capabilities  mission is to deliver the world's computer with an industry-leading supply chain. The CSCP organization is responsible for traditional supply chain functions such as plan, source, make, deliver, but also manages supportability (spares), sustainability, and decommissioning of datacenter assets worldwide.

We deliver the core infrastructure and foundational technologies for Microsoft's over 200 online businesses including Bing, MSN, Office 365, Xbox Live, One Drive and the Microsoft Azure platform for external customers. Our infrastructure is supported by more than 300 datacenters around the world that enable services for more than 1 billion customers in over 90 countries.

Microsoft Cloud Planning (MCP) is the central planning function within CSCP focused on forecasting, demand planning, and supply planning for all Microsoft Cloud services and associated hardware, directly impacting the success of Microsoft's cloud business. We are looking for a Data Analyst II.

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-driven solutions that address business needs across the Microsoft Capacity Planning organization.
• Partner with business stakeholders to define and advance BI and data analytics capabilities that support both Run and Transform work streams.
• Apply advanced analytical methods to generate actionable insights and improve decision-making.
• Collaborate with business, engineering, finance, and operations teams to define, scope, and prioritize high-impact business problems.
• Translate business needs into clear technical requirements, define project goals and KPIs, and manage end-to-end execution of dynamic analytics projects.
• Build strong cross-team relationships and influence business and technical decision-makers through effective verbal, written, and visual communication.
• Simplify, rationalize, and automate data processes to create durable, scalable data foundations.

Qualifications

Minimum qualifications:
Master's Degree in Mathematics, Analytics, Data Science, Engineering, Computer Science, Business, Economics or related field 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.

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.

Preferred qualifications:

• Master's Degree in Mathematics, Analytics, Data Science, Engineering, Computer Science, Business, Economics or related field AND 3+ 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 5+ years experience in data analysis and reporting, data science, business intelligence, or business and financial analysis OR equivalent experience.
• Expertise working with large-scale datasets and modern data management/analytics tools (e.g., SQL, Kusto, Python, Azure Data Explorer, Power BI, Power Apps) to derive insights and drive…