Microsoft Senior Business Analyst 

United States, Washington 

921196799

Across the globe, a diverse group of talented people obsess over the details building incredible devices and services. They come together to form Experiences + Devices (E+D). Our job in E+D is to build the very best applications, services, and devices for customers to empower them to do their best work. No matter what that work looks like and where it happens – at home, at school, at their place of work, which could be a boardroom, storeroom, or operating room – and of course everywhere else, on the go. You may not have heard of E+D, but you have certainly heard of the products we work on, some of the most storied and successful technology – Windows, Office, Microsoft 365, Surface, and there is much more, like partnering with colleagues across the company on cutting edge security to today’s indispensable tool – Microsoft Teams. The work of E+D has never been more important, and each person contributes to the success of the larger organization and mission – the outcome of our work empowers others to achieve more.

Required Qualifications/Minimum Qualifications

• Bachelor’s Degree in Statistics, Mathematics, Analytics, Engineering, Computer Science, Marketing, Business, Economics or related field AND 4+ 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 2+ years experience in data analysis and reporting, business intelligence, or business and financial analysis
  • Or equivalent experience.
• 3+ years of experience and proficiency in analyzing large volumes of data, extracting insights processing large data sets using SQL or SQL-like scripting language and Excel.
• 3+ years of experience and proficiency in automating reporting and building visualizations using tools (example: Power BI/ Excel).
• 3+ years of experience with deep data/business analysis capabilities and creative thinking with demonstrated ability to work in ambiguous situations.

Additional or Preferred Qualifications

• Bachelor's Degree in Statistics, Mathematics, Analytics, Engineering, Computer Science, Marketing, Business, Economics or related field AND 6+ 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 4+ years experience in data analysis and reporting, business intelligence, or business and financial analysis.
  • OR equivalent experience.
• Experience developing and managing enterprise-wide programs.
• Experience and understanding of statistics and machine learning.
• Experience with Microsoft Viva.
• Experience in using various corporate systems like MSPeople/Headtrax (i.e., HR Data Lake), Employee Central / HR Insights Catalog, iCIMS, [University Recruiting] Candidate Tracker, etc.

Certain roles may be eligible for benefits and other compensation. Find additional benefits and pay information here:

• Expertise in Data - Leverages appropriate types and sources of data and/or metrics, understands how business needs translate into data requirements and evaluates sufficiency of data sources, determines needs for integrating additional data, and identifies, anticipates, addresses gaps and data quality issues with data providers, in partnership with other teams. Leverages relevant data, frameworks, and/or analyses from other teams, and ensures that data access and quality issues are addressed.
• Data Analysis - Applies expertise to determine ideal analytical tools and techniques to address business questions. Guides and partners with others to execute analyses, resolve analytical challenges, interpret results across relevant contexts, and provide actionable insights and recommendations to business stakeholders. Critically evaluates assumptions about data or analysis methods to ensure they are appropriate for answering business questions in context and provides feedback on features and functions of analytical tools (e.g., algorithms, statistical models) developed by Engineering or Data Science teams.
• Presentation of Results - Develops appropriate presentations that tell stories of analyses, including dashboards, reports, data visualizations, self-service platforms, slides, and talking points that highlight relevant insights. Synthesizes details across analyses and reporting platforms into a cohesive story that serves to inform business decisions, and identifies opportunities to improve efficiency of reporting and presentations. Guides others to ensure presented results are accessible, and provide information accurately, clearly, and with sufficient relevance to influence decision making for intended audience(s).
• Orchestration and Collaboration - Leverages working relationships within and across teams to ensure quality data sources, methodologies, as well as the appropriate application of analytical tools and processes, and drives their adoption, to facilitate relevant insight generation, reporting, and interpretation. Proactively engages stakeholders to identify and act on opportunities to leverage resources and solutions that were instrumental to success in similar contexts, and consults across teams on decisions related to analyses, insights reporting, and/or their interpretation.