Microsoft Senior Marketing Data Analyst 

United States 

920885432

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.
• 3+ years experience with data visualization tools such as Power BI, Tableau, or Looker.
• 3+ years experience utilizing SQL AND Excel for data manipulation and analysis.
• 3+ years experience with Python and/or R for statistical analysis and data modeling.
• 2+ year of hands-on experience with Azure Analytics tools and services or like products/services.

Additional or Preferred Qualifications

• Bachelor's Degree in Statistics, Mathematics, Analytics, Data Science, Engineering, Computer Science, Business, Economics or related field AND 6+ 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 4+ years experience in data analysis and reporting, data science, business intelligence, or business and financial analysis
• OR equivalent experience.
• Experience with Generative AI (GenAI) applications in a marketing context

Certain roles may be eligible for benefits and other compensation. Find additional benefits and pay information here:Microsoft will accept applications for the role until September 18, 2024.

• Lead large, complex analytics and reporting projects, delivering accurate, accessible, and repeatable business reporting and insights to stakeholders across all levels.
• Demonstrate leadership and knowledge in the business and data landscape, standardized reporting, experimentation, and analysis to support performance discussions across multiple channels.
• Proactively help the business leverage data and insights to enhance our ability to inform on event management efforts and increase the efficacy of our approaches. Provide rhythm of the business analytics support, actionable insights, and recommendations to optimize and scale flagship events.
• Apply a customer/stakeholder-oriented focus and user experience design best practices to ensure data analysis is easily consumable through visualization, presentation, and storytelling.
• Partner with Data Services on technical requirements to enable data availability, data quality, transformations, and integrity for analytics and wider business self-service usage.
• Execute data analysis using multiple data sets and sources. Lead discussions interpreting results and connecting them to relevant business context. Provide actionable recommendations to optimize business investments in a way that can be repeated and scaled as needed.
• Define, build, and maintain performance metrics, dashboards, and analysis. Provide relevant information in an automated, self-service, and efficient manner to enable business optimization and tracking for $100M+ annual investment.

• Other

  • Embody our and