Senior Business Intelligence

Microsoft Cloud Infrastructure and Operations (CO+I) is the engine that powers Microsoft's cloud services. The group is responsible for designing, building, and operating Microsoft's global datacenters; managing the programmatic delivery of our critical infrastructure design, equipment procurement, construction delivery, infrastructure innovation, demand planning and capacity utilization of our unified infrastructure; and responsible for all operations needed to run the physical infrastructure. We focus on smart growth with an emphasis on data-driven engineering, cost‐effectiveness, and environmental sustainability. We deliver the core infrastructure and foundational technologies for Microsoft's 200+ online businesses including Azure, Office 365, Bing, Xbox Live, Skype, and OneDrive. Our portfolio is built and managed by a team of subject matter experts working 24x7x365 to support services for more than 1 billion customers and 20 million businesses in over 90 countries worldwide.

The Chief Technology Officer (CTO) office of CO+I is responsible for delivering solutions technical strategy, developing and leverage research, innovation and defining next generation capabilities - telemetry by design. To accomplish this the team must utilize data from every aspect of our business.

We are looking for an experienced Senior Business Intelligence to help meet that demand. This person should be intellectually curious, relentless, interested in peeling the onion on analysis, and looking for insights in data that can turn into actionable and measurable outcomes.

In alignment with our Microsoft values, we are committed to cultivating an inclusive work environment for all employees to positively impact our culture every day.

Required Qualifications:

• Doctorate in Data Science, Mathematics, Statistics, Econometrics, Economics, Operations Research, Computer Science, or related field AND 1+ year(s) data-science experience (e.g., managing structured and unstructured data, applying statistical techniques and reporting results)

o OR Master's Degree in Data Science, Mathematics, Statistics, Econometrics, Economics, Operations Research, Computer Science, or related field AND 3+ years data-science experience (e.g., managing structured and unstructured data, applying statistical techniques and reporting results)

o OR Bachelor's Degree in Data Science, Mathematics, Statistics, Econometrics, Economics, Operations Research, Computer Science, or related field AND 5+ years data-science experience (e.g., managing structured and unstructured data, applying statistical techniques and reporting results)

o OR equivalent experience.

• 5+ years of relevant experience in Data Engineering and Business Analytics or related field working on large scale complex programs focused on Data Integration & Analytics.
• 3+ years of relevant experience with Query languages (SQL, Kusto, Cosmos, etc.).
• 1+ years of documented experience with creating leadership-level views to drive actionable and strategic decision making.

Other Requirements:

• Ability to meet Microsoft, customer and/or government security screening requirements are required for this role. These requirements include, but are not limited to the following specialized security screenings:

• Microsoft Cloud Background Check: This position will be required to pass the Microsoft Cloud Background Check upon hire/transfer and every two years thereafter.

Preferred Qualifications:

• Experience working with unstructured and structured data with a solid understanding of big data solutions.

• Ability to communicate advanced analytics and insights to both technical and non-technical audience.

• Experience within a data center environment, manufacturing, maritime engineering, energy sector, oil and gas industry, or another type of operations environment is a plus.

• Ability to collaborate across the globe with diverse teams and be able to travel as necessary to learn and support operations in US and internationally.

• Ability to understand customer needs and be able to tailor the message being presented depending on the audience.

• 2+ year of industry work experience in Python or R, building and implementing statistical models and machine learning models and simulations.

• 3+ years of experience with Power BI.

Data Science IC4 - The typical base pay range for this role across the U.S. is USD $112,000 - $218,400 per year. There is a different range applicable to specific work locations, within the San Francisco Bay area and New York City metropolitan area, and the base pay range for this role in those locations is USD $145,800 - $238,600 per year.

Certain roles may be eligible for benefits and other compensation. Find additional benefits and pay information here: https://careers.microsoft.com/us/en/us-corporate-pay

Microsoft will accept applications for the role until May 3, 2024.

Microsoft is an equal opportunity employer. All qualified applicants will receive consideration for employment without regard to age, ancestry, color, family or medical care leave, gender identity or expression, genetic information, marital status, medical condition, national origin, physical or mental disability, political affiliation, protected veteran status, race, religion, sex (including pregnancy), sexual orientation, or any other characteristic protected by applicable laws, regulations and ordinances. We also consider qualified applicants regardless of criminal histories, consistent with legal requirements. If you need assistance and/or a reasonable accommodation due to a disability during the application or the recruiting process, please send a request via the Accommodation request form.

Benefits/perks listed below may vary depending on the nature of your employment with Microsoft and the country where you work.

#COICareers

• Engage broadly with teams to frame, structure, and prioritize business problems.

• Mine datasets to identify information & insights that are relevant to answer key questions.

• Design, develop, and implement visual displays of data and insights that are self-explanatory and drive actionable outcomes.

• Collaborate and help Improve data systems and algorithms that drive business performance by providing feedback to respective business owners & data scientist teams on anomalies and gaps.

• Work creatively with data engineers to help create and maintain systems capable of extracting detail from systems, transforming data to a common taxonomy.

• Practice deep dives into data to find key insights that impact business, and surface actionable recommendations accordingly.

• Enable broad use of Power BI and other Analysis tools by working with Leadership Team (LT) and Organization through education and direct engagement.

• Collaborate closely with other teams to develop reporting and analytics that will help drive business decision making and measurable outcomes.

• Present insights and learnings to key stakeholders / executives, drive actions and impact.

• Special projects

• Embody our culture and values.