Preferred Qualifications: Masters 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 OR Bachelors Degree in Statistics, 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 OR equivalent experience. In this role, you will work on a full stack that manages and monitors cloud hardware across hyperscale environments, driving improvements in reliability, availability, and performance by leveraging data science coupled with cutting edge AI capabilities to improve efficiency as we scale innovative hardware solutions that power Azure.