Business Analyst -Core Datacenter Services

Microsoft•Washington, DC

About The Position

Cloud Operations & Innovation (CO+I) is the engine behind Microsoft’s cloud. We operate a global portfolio of more than 400 datacenters and millions of servers, supporting digital services for over one billion customers and twenty million businesses across more than ninety countries. This infrastructure is designed, operated, and continuously improved by teams of deep technical experts who safeguard reliability, trust, and scale. We are seeking a Business Analyst to join our Core Datacenter Services . You will lead report and dashboard development, analyze data to generate actionable insights, communicate effectively with diverse audiences, and influence teams to drive data-driven decisions. ITPS, a team within CO+I Core Datacenter Services (CDS), envisions a unified, automated approach to managing IT operations processes and standards across Microsoft’s global datacenter fleet. This ensures the ability to maintain and restore IT capacity efficiently and effectively to meet cloud service availability targets at scale. ITPS defines and evolves processes that underpin datacenter IT operations, including breakfix workflows, service transition, planning and scheduling, and IT service management orchestration. By equipping operations teams with the right tools and procedures, ITPS supports innovation and growth across offerings such as Azure AI, high-performance computing clusters, and mission-critical workloads. 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.

Requirements

Master’s degree in mathematics, Analytics, Engineering, Computer Science, Marketing, Business, Economics or related field AND 1+ year(s) experience in data analysis and reporting, business intelligence, or business and financial analysis
OR Bachelor’s degree in Statistics, Finance, Mathematics, Analytics, Engineering, Computer Science, Marketing, Business, Economics or related field
AND 2+ years’ experience in data analysis and reporting, 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.
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

Master's Degree in Mathematics, Analytics, Engineering, Computer Science, Marketing, Business, Economics or related field AND 3+ years’ experience in data analysis and reporting, business intelligence, or business and financial analysis OR Bachelor's Degree in Statistics, Finance, Mathematics, Analytics, Engineering, Computer Science, Marketing, Business, Economics or related field AND 5+ years’ experience in data analysis and reporting, business intelligence, or business and financial analysis OR equivalent experience.

Responsibilities

Lead and partner with IT process stakeholders across our organization to build reports, dashboards, analytics, and other business intelligence tools to operationalize key metrics.
Explore and analyze data to supply meaningful insights on organizational processes.
Analyze IT work volume, prioritization, and repair return to service success and defect rates to quantify opportunities.
Communicate with technical and non-technical audiences and contribute modeling expertise as a team player.
Influence across disciplines and teams to ensure we are making data-driven decisions and solving critical problems for our customers.
Build and deploy visualizations that deliver insights to decision-makers at an array of levels, from executives to front-line staff.
Build a strong understanding of business operations and anticipate challenges by analyzing trends and probing beyond stated concerns.
Mentor others and stay current with advances in the industry.
Build responsible AI-compliant data products and applications.

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