Senior Data Analyst

Microsoft•Redmond, WA

About The Position

Microsoft Cloud Operations + Innovation (CO+I) is the engine that powers Microsoft's cloud services. Microsoft Cloud Operations + Innovation is responsible for designing, building, and operating our unified global datacenters, managing the supply planning and capacity utilization of our unified infrastructure, and is responsible for all of the operations needed to run the physical infrastructure (including supply chain, hardware, power, security, and workflow teams). Within CO+I, the Integrated Planning & Execution (IPE) team is responsible for the acquisition and planning of Data Center Infrastructure needed to build out Microsoft’s cloud infrastructure. Our team provides the global demand requirements for Microsoft’s commercial cloud and AI workloads. The Datacenter Long Range Plan (LRP) provides a 10-year signal across all regions, availability zones and workload types including all Azure services, M365, Bing, Xbox, AI Copilots and much more. Our demand is a complex multi-dimensional dataset with inputs that include customer requirements like data residency and latency, hardware & software efficiency, revenue and more. IPE creates the blueprint to support Microsoft’s growth and ensure customer demand is met. The team owns the Datacenter LRP which facilitates strategic recommendations and decision making. IPE sits at the nexus of multiple teams which come together to deliver great capacity experience to customers be it on Azure, M365, Xbox or AI Services. IPA collaborates with numerous partner teams to define the processes and supporting tools required to support all the above. Integrated Planning & Execution (IPE) is looking for an exceptional Senior Data Analyst who can apply in-depth knowledge of the business, its data landscape, and the lineage of those data to proactively identify opportunities to explore and address business questions across multiple areas. You will work with a cross-functional team and be responsible for Commercial Cloud & AI demand. You will also be responsible for tracking demand changes, key assumptions, and work with multiple teams on implementation and improvements. You will also drive data quality and data telemetry to improve our data-driven forecasts for AI and Commercial Cloud demand.

Requirements

Master's Degree in 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 Bachelor's Degree in Statistics, Mathematics, Analytics, Data Science, Engineering, Computer Science, Business, Economics or related field AND 4+ years experience in data analysis and reporting, data science, business intelligence, or business and financial analysis OR equivalent experience.
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.

Nice To Haves

Demonstrated experience leading and managing a business-critical function.
Technical certifications relevant to data analysis/BI
2+ years professional experience in applications of computer science, advanced statistical, analytical techniques or equivalent
Hands-on experience with SQL queries, Python, Tableau, Power BI. Data Architecture experience preferred
Problem-solving skills to help refine problem statements and solve them with the available data
Excellent communication and leadership skills to drive projects and build buy-in and support.

Responsibilities

Clean, analyze, and visualize a variety of customer demand data to identify opportunities, insights, and anomalies.
Develop automated dynamic reports and dashboards to support key business functions and initiatives.
Own Extract, Transform and Load (ETL), data validations, and documentation to support your and others’ analyses
Compile comprehensive and accurate client facing reports on a timely basis
Guide business leaders with confidence in your analytics and reporting to ensure smooth execution.
Summarize and clearly communicate data analysis assumptions and results.
Support day-to-day operations with ad-hoc analysis.
Collaboration and supply chain management
Embody our Culture and Values

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