Source-listed Job

Senior Strategy & Investment Analyst - AI Experiences

Build forecasting, predictive, scenario and sensitivity models to evaluate market growth, customer adoption, revenue potential, and business performance. Analyze complex and imperfect datasets to identify trends, business drivers,...

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Microsoft Mountain View, CA,US, US Source published Oct 2, 2026 Source retrieved Oct 11, 2026
Source: Microsoft Opportunities · A retrieval date records when our system last obtained the source record. It does not guarantee the vacancy is still open or that every detail has been independently checked.
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Senior Strategy & Investment Analyst - AI Experiences opportunity at Microsoft
DeadlineWed Mar 31 11:01 PM 2027
EmploymentF U L L T I M E
CountryUS

Overview

Build forecasting, predictive, scenario and sensitivity models to evaluate market growth, customer adoption, revenue potential, and business performance. Analyze complex and imperfect datasets to identify trends, business drivers, risks and opportunities. Develop quantitative analyses and business cases to inform product and investment decisions. Support market sizing, competitive analysis and pricing strategy through research and modelling. Translate quantitative analysis into clear strategic insights, implications and recommendations for senior leadership. Partner with Product, Engineering, Business Development, Finance, Marketing, Sales and other teams to pressure-test assumptions and inform key strategic decisions. Master's Degree in Mathematics, Analytics, Engineering, Computer Science, Marketing, Business, Economics or related field AND 3+ years experience in data analysis and repo

Full job description

Full Job Description

Build forecasting, predictive, scenario and sensitivity models to evaluate market growth, customer adoption, revenue potential, and business performance. Analyze complex and imperfect datasets to identify trends, business drivers, risks and opportunities. Develop quantitative analyses and business cases to inform product and investment decisions. Support market sizing, competitive analysis and pricing strategy through research and modelling. Translate quantitative analysis into clear strategic insights, implications and recommendations for senior leadership. Partner with Product, Engineering, Business Development, Finance, Marketing, Sales and other teams to pressure-test assumptions and inform key strategic decisions. 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 4+ years experience in data analysis and reporting, business intelligence, or business and financial analysis 3+ years of experience in strategic finance, investment banking, corporate development, pricing strategy, management consulting or a highly quantitative strategy role. 3+ years of experience building decision-grade quantitative and financial models, including forecasting, scenario and sensitivity analyses. 3+ years of demonstrated ability to analyze large, complex and imperfect datasets, and synthesize multiple sources into a defensible fact base. Advanced Excel, financial modeling, and quantitative analysis skills Master's Degree in Mathematics, Analytics, Engineering, Computer Science, Marketing, Business, Economics or related field AND 6+ 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 8+ years experience in data analysis and reporting, business intelligence, or business and financial analysis OR equivalent experience. Experience with market sizing, competitive benchmarking, pricing analysis and business-case development. Experience with SQL, Python, Power BI, or similar analytical tools. Experience working with product, finance or commercial leaders in a technology business. Working knowledge of the competitive dynamics and different layers of the evolving artificial intelligence landscape.

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