Microsoft's Global Marketing Engines and Experiences (E&E) team needs to deliver integrated marketing experiences by building, running, and innovating a globally scaled engine to deliver connected journeys that delight customers and create fans. The Media Data Science and Analytics team within E&E enables data-driven decision making by providing data products and insights to measure marketing’s performance and impact, understand the customer experience, and develop systems of learning for marketers. This role will directly support Microsoft’s mission by enabling data-driven marketing decisions that drive customer engagement and revenue growth.
Requirements
- 4+ years experience in marketing analytics specifically at a Fortune 100 or a media company.
Responsibilities
- Identify and promote methods that enhance efficiency in analytics and reporting.
- Ensure solutions are reusable, easily discoverable, and self-service oriented.
- Drive meaningful data interpretation to inform business decisions.
- Recommend and socialize optimal methods for operationalizing, sharing, and scaling insights.
- Share knowledge and practical rationale for transitioning ad-hoc analyses to regular reporting features.
- Evaluate the viability of automated methods for data collection, reporting, and analysis.
- Share domain knowledge to create clarity and ensure readiness to leverage data and insights effectively.
Other
- 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 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 equivalent experience.
- Master's Degree in 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 Bachelor's Degree in Statistics, Mathematics, Analytics, Data Science, Engineering, Computer Science, Business, Economics or related field AND 8+ years experience in data analysis and reporting, data science, business intelligence, or business and financial analysis OR equivalent experience.
- Embody our culture and values.
- The optimal candidate thrives in fast-paced environments, demonstrates comfort with ambiguity, and collaborates effectively across teams and functional boundaries.
- Curiosity, a bias for action, and the ability to balance business context with technical expertise are essential.
