Job Information
Microsoft Corporation Data Analyst in Redmond, Washington
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 Infrastructure Planning & Acquisition (IPA) 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.
IPA 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. IPA 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.
Infrastructure Planning & Acquisition (IPA) is looking for a 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.
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
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 (https://www.microsoft.com/en-us/about/corporate-values) and Values (https://careers.microsoft.com/us/en/culture)
Qualifications
Required:
Bachelor's Degree in Statistics, Mathematics, Analytics, Data Science, Engineering, Computer Science, Business, Supply Chain Analytics or related field AND 2+ years experience in data analysis and reporting, data science, business intelligence, or business and financial analysis
OR Master's Degree in Mathematics, Analytics, Data Science, Engineering, Computer Science, Business, Economics or related field
OR equivalent experience
2+ years of experience working in SQL
2+ years of experience working in PowerBI
Other Qualifications:
- This position requires verification of citizenship due to citizenship-based legal restrictions. Specifically, this position supports United States federal, state, and/or local government agency customers and is subject to certain citizenship-based restrictions where required or permitted by applicable law. To meet this legal requirement, and as a condition of employment, the successful candidate’s citizenship will be verified with a valid passport.
Preferred:
Leadership skills to drive projects and build buy-in and support.
Demonstrated experience leading and managing a business-critical function.
Technical certifications relevant to data analysis/Business intelligence
Data Analytics IC3 - The typical base pay range for this role across the U.S. is USD $83,400 - $167,800 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 $108,900 - $183,000 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 December 11, 2025.
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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 (https://careers.microsoft.com/v2/global/en/accessibility.html) .
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