With over 17,000 employees worldwide, the Microsoft Customer Experience & Success (CE&S) organization is responsible for the strategy, design, and implementation of Microsoft’s end-to-end customer experience. Come join CE&S and help us build a future where customers come to us not only because we provide industry-leading products and services, but also because we provide a differentiated and connected customer experience.
The Global Customer Success (GCS) organization is leading the effort to create the desired customer experience through support offer creation, driving digital transformation across our tools, and delivering operational excellence across CE&S.
We are looking for a dynamic, and experienced Data Analytics who can comprehend complex business context and build full-fledged insights solutions, developed on technology data & analytics platforms. This role will require deep business understanding, utilizing hands-on expertise on the Microsoft Business intelligence (BI) Stack and aspects of data engineering to develop robust solutions & create non-obvious insights for the business. Where required, you will have to collaborate with data management and BI teams to drive necessary data acquisition & integration activities. It is a tremendous opportunity to make a difference across the organization and for our customers!
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.
Qualifications:
Required/Minimum Qualifications
- Bachelor’s Degree in Statistics, Mathematics, Analytics, Engineering, Computer Science, Marketing, Business, Economics or related field AND 2+ years experience in data analysis and reporting, business intelligence, or business and financial analysis
- OR Master’s Degree in Mathematics, Analytics, Engineering, Computer Science, Marketing, Business, Economics or related field
- OR equivalent experience.
- 1+ years of experience deep technical skills and know-how related to data mining, data integration & analytics, particularly with the MS SQL BI and PowerBI Stack.
- 1+ years experience communicating with technical and non-technical audiences.
Additional or Preferred Qualifications
- Bachelor’s Degree in Statistics, Mathematics, Analytics, Engineering, Computer Science, Marketing, Business, Economics or related field AND 3+ years experience in data analysis and reporting, business intelligence, or business and financial analysis
- OR Master’s Degree in Mathematics, Analytics, Engineering, Computer Science, Marketing, Business, Economics or related field AND 1+ year(s) experience in data analysis and reporting, business intelligence, or business and financial analysis
- OR equivalent experience.
- Accomplished skills and advanced experience in SQL, SSIS, SQL Data tools, and Connectors with the ability to connect and build data sets.
- Accomplished skills and advanced experience in Excel (Pivot Tables, Formulas, etc.) with the ability to build complex data models.
- Proficiency in Office Suite of Products: Word, PowerPoint, Visio, Outlook
- Sound understanding of data warehouse fundamentals & platforms. SQL Server, Azure (Data Lake, Data Factory).
- Working knowledge of Power BI/ Power Apps and other data visualization tools
- Fundamental understanding of Statistics – Basic probability distributions, estimation techniques, confidence intervals, hypothesis testing.
- Familiarity with scripting: R, Python, SAS, Azure ML
Business Analytics IC3 – The typical base pay range for this role across the U.S. is USD $80,900 – $162,200 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 $105,300 – $176,900 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 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.
Responsibilities:
• Support business strategy by providing valuable business insights in the areas of capacity and resource management.
• Design, build and manage data assets and data repositories with appropriate technologies, integrating and transforming data as required.
• Engage with Business Operations functional leads to determine Capacity data required to enable key business capabilities and insights.
• Support Business operations through ad hoc analysis and rich standard insights assets to identify areas for improvement.
• Develop and maintain high quality insight solutions to support business reviews and other Rhythm of business events.
• Drive end to end insights creation-to-consumption lifecycle, leading business problem definition, hypotheses formulation, designing and delivering the solution.
• Partner with sister teams (BI & Taxonomy) to enable data availability, data quality and integrity, and taxonomy alignment.
• Drive consistency, adoption & integration of quality standards. Ensure compliance with the data security and privacy policies.