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Program Manager, Analytics

Build and scale data assets, dashboards, data models, and automated workflows that enable reliable, high-velocity decision-making. Develop a deep understanding of the data center delivery lifecycle, business processes, and underly...

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Microsoft US Source published Sep 9, 2026 Verified 5 days ago
✓ 95% verification score · Source: Microsoft Careers · Always confirm final requirements on the original source.
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Program Manager, Analytics opportunity at Microsoft
DeadlineMon Mar 8 5:42 PM 2027
EmploymentF U L L T I M E
CountryUS

Overview

Build and scale data assets, dashboards, data models, and automated workflows that enable reliable, high-velocity decision-making. Develop a deep understanding of the data center delivery lifecycle, business processes, and underlying data to provide actionable insights and drive continuous improvement. Partner with internal teams, including Scheduling, Planning, Engineering, and Execution, to identify data and process gaps and improve business processes, reporting, and decision support. Develop and implement innovative solutions that improve data quality, reporting accuracy, automation, and usability of BI products. Partner with cross-functional stakeholders to define requirements and deliver scalable analytics and business intelligence solutions that address complex business needs. Identify bottlenecks and opportunities to simplify processes, improve efficiency, and scale analytics capa

Full job description

Full Job Description

Build and scale data assets, dashboards, data models, and automated workflows that enable reliable, high-velocity decision-making. Develop a deep understanding of the data center delivery lifecycle, business processes, and underlying data to provide actionable insights and drive continuous improvement. Partner with internal teams, including Scheduling, Planning, Engineering, and Execution, to identify data and process gaps and improve business processes, reporting, and decision support. Develop and implement innovative solutions that improve data quality, reporting accuracy, automation, and usability of BI products. Partner with cross-functional stakeholders to define requirements and deliver scalable analytics and business intelligence solutions that address complex business needs. Identify bottlenecks and opportunities to simplify processes, improve efficiency, and scale analytics capabilities across teams and organizations. Serve as a trusted analytics partner to business leaders, providing insights and recommendations that support effective planning and execution. Synthesize complex analyses and clearly communicate methodologies, assumptions, findings, risks, and recommendations to technical and executive audiences. Translate ambiguous business questions into well-defined analytical problems, determine the appropriate data and methodology, and turn results into actionable business decisions. Embody our culture and values. Bachelor's Degree AND 2+ years experience in mathematics, business program management, data analysis, or product development OR equivalent experience. 1+ year(s) of experience managing cross-functional and/or cross-team projects These requirements include, but are not limited to the following specialized security screenings: 3+ years of SQL experience, with expert-level proficiency in developing complex, highly optimized queries across large-scale datasets. 3+ years of experience with Power BI, Tableau, or similar business intelligence and visualization platforms. +4 years experience managing cross-functional and/or cross-team projects. Demonstrates deep subject matter expertise on key functional areas of engineering, procurement, construction, mechanical, electrical, networking, and building automation systems. Expertise working with large-scale data sets and analytics tools (e.g. PowerBI, PowerApps) to derive insights and make process improvements. Understanding business and financial objectives and plans accordingly. Demonstrates technical excellence in learning and applying successful strategies and implementing improvements to engineering methods and quality practices across the data center delivery portfolio.

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