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Microsoft Data Analytics Engineer United States, North Carolina, Charlotte 28446865
, will build best-in-class solutions using robust coding practices and the latest tech. You thrive on tackling ambitious challenges to build impactful, world-class solutions, while also finding value in contributing to smaller, yet meaningful tasks. If this resonates with you and you align with our team’s values, join us in building the foundation of trust for the digital future.
Required/Minimum Qualifications:
- Bachelor's Degree in Statistics, 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
- ORMaster's Degree in Mathematics, Analytics, Data Science, Engineering, Computer Science, Business,Economicsor related field.
- ORequivalent experience.
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:
- : This position will be required to pass the Microsoft Cloud background check upon hire/transfer and every two years thereafter.
Preferred/Additional Qualifications:
- Software development experience using OOP, C#, .NET Core, NoSQL.
- Experience working with cloud computing platforms like Azure, AWS.
Data Analytics IC3 - The typical base pay range for this role across the U.S. is USD $83,400 - $167,800 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 $108,900 - $183,000 per year.Certain roles may be eligible for benefits and other compensation. Find additional benefits and pay information here:
Responsibilities
- appropriate analyticaland inferential techniques to address business questions, executes analyses and interprets results with actionable recommendations.
- Collaborates across teams to ensure consistency in data sources, methods, models, tools, and business priorities,to build reusableandsharable dataschemas.
- CoordinatesBuild and Ship, the next generation of highly scalable, cloud nativeanalytical solutions supportinglarge scale distributed microservicesand applications.
- Remain up to date on data privacy requirements and data handling practices, while ensuring compliance with classification and governance standards and regulations.
- Produce high quality code that is unit tested, code reviewed and checked in regularly for continuous integration.
- Work closely with cross-functional teams, including product owners, UX designers, AI/ML specialists,Engineers/Researchers, and data scientists.
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