Microsoft Business Intelligence Analyst 

United States, Washington 

226573620

Required Qualifications:

• Bachelor’s Degree in Statistics, Mathematics, Analytics, Engineering, Computer Science, Marketing, Business, Economics, or a related field AND 2+ years' experience in data analysis and reporting, business intelligence, or business and financial analysis
• OR Master's Degree in Statistics, Mathematics, Analytics, Engineering, Computer Science, Marketing, Business, Economics, or related field
• OR equivalent experience
• 2+ years of experience building reports, dashboards, or other analytics using business intelligence software (Power BI, Tableau, etc.)
• 2+ years of experience querying data using an industry standard query language (SQL, KQL, etc.)

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:

• Domain knowledge of datacenter operations, server repair, IT, and/or shop floor processes, and experience mining these processes to produce insights is preferred.
• Experience with advanced data visualization frameworks such as D3 or Observable Framework is a plus.
• Experience with and passion for data visualization that distills complexity into simple to understand visuals and insights.
• Experience with Kusto Query Language is a plus
• Experience with Grafana
• Experience working in an Agile/Scrum SDLC, preferably using Azure DevOps and GitHub.
• Experience with data storytelling principles is a plus

Certain roles may be eligible for benefits and other compensation. Find additional benefits and pay information here:Microsoft will accept applications for the role untilJune 14, 2024.

• Lead and partner with a variety of stakeholders across our organization to build reports, dashboards, analytics, and other business intelligence tools to operationalize metrics, KPIs, and OKRs.
• Explore and analyze data to supply meaningful insights on a wide range of organizational processes.
• Communicate with technical and non-technical audiences and contribute modeling expertise as a team player.
• Influence across disciplines and teams to ensure we are making data-driven decisions and solving critical problems for our customers.
• Build and deploy visualizations that deliver insights to decision-makers at an array of levels, from executives to front-line staff.
• Mentor others and stay current with advances in the industry.

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