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Senior Data Analyst

Lead AI and Automation systems performance reporting, leveraging telemetry from our automation systems to provide insights to our partners. Partner with our business and engineering leaders to set up KPIs to measure effectiveness...

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Microsoft Redmond, WA,US, US Source published Sep 21, 2026 Verified 2 hours ago
✓ 80% verification score · Source: Microsoft Opportunities · Always confirm final requirements on the original source.
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Senior Data Analyst opportunity at Microsoft
DeadlineSat Mar 20 10:38 PM 2027
EmploymentF U L L T I M E
CountryUS

Overview

Lead AI and Automation systems performance reporting, leveraging telemetry from our automation systems to provide insights to our partners. Partner with our business and engineering leaders to set up KPIs to measure effectiveness of AI automation Identify connections across data sources and contribute to the development of analytical frameworks as you develop an understanding of the business. Leverage your understanding of the business to examine projects through a customer and/or stakeholder-oriented focus. Identify and leverage appropriate sources of data and contribute to the development of recommendations. Determine appropriate analytical techniques and critically evaluate assumptions. Share and simplify relevant findings and insights and ensure presented results are accessible and accurate. Support and/or consult with other teams and identify relevant data-driven recommendations. Re

Full job description

Full Job Description

Lead AI and Automation systems performance reporting, leveraging telemetry from our automation systems to provide insights to our partners. Partner with our business and engineering leaders to set up KPIs to measure effectiveness of AI automation Identify connections across data sources and contribute to the development of analytical frameworks as you develop an understanding of the business. Leverage your understanding of the business to examine projects through a customer and/or stakeholder-oriented focus. Identify and leverage appropriate sources of data and contribute to the development of recommendations. Determine appropriate analytical techniques and critically evaluate assumptions. Share and simplify relevant findings and insights and ensure presented results are accessible and accurate. Support and/or consult with other teams and identify relevant data-driven recommendations. Recommend efficiency improvements for core work and evaluate the viability of automated data collection methods. Understand linkages between analytical models and contribute to the review process—and, if the model is deemed deficient—seek to determine why. Work within and across teams to ensure alignment in data sources and processes and engage stakeholders to act on opportunities. Stay abreast of privacy requirements and ensure data have undergone appropriate reviews. Embody our culture and values. 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 Master's Degree in 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 Experience building extract transform and load (ETL/ELT) solutions in Azure or any other cloud platform.

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