Microsoft

Data Analyst

Toronto, Ontario Canada
USD 91k - 168k
Azure SQL
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Description

Microsoft 365 is the world’s leading productivity suite, trusted by hundreds of millions of users worldwide. Our team builds the platform that allows developers to create experiences that reach these users across Teams, Outlook and Microsoft365.com. We are looking for a Data Analyst  who can help us generate key insights on usage, quality, and performance of these experiences. If you are someone who is interested in the opportunity to empower external and internal developers, admins, business decision makers and leaders within Microsoft to make strategic decisions based on data, we would love to hear from you. You will be a part of a team of product managers and engineers that work hard and have fun along the way. 

 

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. If you are looking for a role where you can have significant impact in contributing to the growth of some of Microsoft’s most critical businesses, we invite you to apply. 

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 and financial 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.
  • 1+ years of experience with big data platforms.  

Additional or Preferred Qualifications:

  • Experience building Power BI, Excel, and Reporting Services dashboards and reports. 
  • Experience in a data-intensive role, with a focus on product and advanced analytics. 
  • Problem solving, technical and data analysis skills. 
  • Be self-driven, and show ability to deliver on ambiguous projects with incomplete data. 

 

Data Analytics IC4 - The typical base pay range for this role across Canada is CAD $91,000 - CAD $168,400 per year.

Find additional pay information here: https://careers.microsoft.com/us/en/us-corporate-pay

Microsoft will accept applications for the role until July 6, 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. 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.

  • Design and implement key datasets that provide structured and timely access to actionable business information. 
  • Develop a deep understanding of vast data sources (existing on the cloud) and know exactly how, when, and which data to use to tackle business problems. 
  • Utilize a variety of data stores including Azure Data Lake, SQL Database, SQL Data Warehouse 
  • Retrieve and analyze data using Kusto Query Language, Scope SQL, Excel, Power BI and other data management systems. 
  • Act as a conduit between multiple PMs to coordinate and facilitate interdependent work efforts at the feature level
  • Embody our culture and values

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