Senior Business Intelligence Engineer

Atlanta, GA, United States

The Information & Platform Optimization (IAPO) team leads, builds, and supports programs & platforms used by data center and critical environment personnel globally. To help us accelerate on the path to achieve our objectives, growth, and transformation, we are looking for an experienced Senior Business Intelligence Engineer who has broad expertise & implementation experience across report building and data modeling, focusing on self-service enablement to help us move faster!

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.

Cloud Operations + Innovation (CO+I) is the engine that powers Microsoft’s core cloud platforms and services that millions of people use every day. With more than 95% of Fortune 500 business on Azure, 180 million using Office 365, and millions using other services – all running on Microsoft's cloud infrastructure – CO+I builds and operates the foundation upon which Microsoft’s mission to empower every person and organization comes to life.

As a group, CO+I is focused on personal and professional development for all employees and offers training and growth opportunities including Career Rotation Programs, Diversity & Inclusion training and events, and professional certifications.

This role is located either in one or all hub locations - Atlanta, GA, Washington, D.C., Redmond, WA, San Antonio, TX or Phoenix, AZ.

Relocation support will be provided, and successful candidates must ​relocate or reside within 50 miles of the hub office location.

This role is eligible for hybrid or remote work, up to 100%

Required/Minimum Qualifications

Bachelor's 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 analysis OR Master's 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 equivalent experience.

4+ 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.).

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.

Integration with Other Tools: Experience in integrating Power BI with other Microsoft products such as ServiceNow, Azure services (e.g., Azure Data Lake, Azure SQL Database) and Office 365 applications (e.g., SharePoint, Teams).

Data Analytics IC4 - The typical base pay range for this role across the U.S. is USD $103,800 - $200,300 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 $133,700 - $219,200 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 June 7, 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

The Senior Business Intelligence Engineer will be responsible for data extraction and transformation, report development, data modeling, and performance optimization.

Work closely with stakeholders to understand requirements to deliver high-quality visualizations and reports, focusing on automating systems and processes to develop operating efficiencies and enhance current capabilities

Look for ways to streamline report generation and provide business leaders with resources to enable informed decision making, including self-service tools that enable users to analyze data through many business dimensions with visibility to granular and historical data

Troubleshoot and perform root cause analysis on systems issues, across platforms and systems to ensure quick service restoration of problems. Identify and resolve data reporting issues in a timely fashion, while looking for continuous improvement opportunities.

Other

Embody ourCulture & Values