Senior Data Analytics Manager

Overview:

Cloud Operations + Innovation (CO+I) is the team behind one of the World's largest Cloud Infrastructures, responsible for powering all Microsoft online Products and Services as well as powering Microsoft's "Cloud First" mission. Our focus is on smart growth, high efficiency, and delivering trusted experience to customers and partners worldwide, and we are looking for passionate, high-energy program managers to help achieve that mission.

If you want to have fundamental impact on how Microsoft's Cloud is deployed and operated globally, be involved with one of the most strategically important teams at Microsoft, technical and business acumen, leadership, creativity, and out-of-the-box thinking are some of the skills you bring to the table - this job is for you!

We are looking for an exceptional Senior Data Analytics Manager to collaborate with our data science and engineering team to build solutions that improve our Data Center delivery cycle time. As a Senior Data Scientist, you will partner with various teams to develop business requirements to standardize the business input and develop a long-term vision and partnering cross-functionally.

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.

Microsoft's mission is to empower every person and every organization on the planet to achieve more. As employees we come together with a growth mindset, innovate to empower others, and collaborate to realize our shared goals. Each day we build on our values of respect, integrity, and accountability to create a culture of inclusion where everyone can thrive at work and beyond.

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.

Other Requirements:

The 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:

• 5+ years of experience or equivalent as a data science practitioner.

• 5+ years of hands on experience in SQL

• Expert-level proficiency in writing complex, highly-optimized SQL queries across large datasets

• 3+ years of experience in R/Python

• 5+ years of experience in Tableau or Power BI

• Expertise in statistics modeling and machine learning

• Proficiency with applying quantitative methods to structured & unstructured data for exploration data analysis, pattern recognition, insights generation, metrics development, and scaling reports.

• Programming skills in data manipulation & processing (SQL & Python preferred).

• Regularly communicate associated outcomes and insights succinctly to various team members at all levels, including senior management, to help guide and influence strategic decisions for improvement.

• Problem-solving skills to help refine problem statements and solve them with the available data.

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 22, 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

Responsibilities:

• Build scalable data assets (dashboards, underlying data models, and workflows) to unlock reliable and high velocity decision support

• Deeply understand the Data Center delivery cycle and underlying information to support leadership and stakeholders make data-driven decisions and continuous process improvements.

• Apply statistical methods, causal inference, and machine learning to inform Data Center business decisions and optimize our process and systems.

• Advocate for our members and provide meaningful insights to internal teams (e.g., Scheduling) working to improve the business process and data reporting.

• Develop and implement innovative solutions to increase the quality of data products and support interactions.

• Partner closely with cross functional stakeholders to build and deliver world-class support and data insights experiences.

• Guide business leaders with confidence in your analytics and reporting to ensure smooth execution.

• Summarize and clearly communicate data analysis assumptions and results.

• Collaborate with stakeholders to take a vague problem statement, refine the scope of the analysis, and use the results to drive informed decisions.

• Embody our Culture and Values.