Microsoft's Global Marketing Engines and Experiences (E&E) team needs to establish and promote social advertising measurement frameworks to improve investment decision-making, drive customer engagement, and revenue growth.
Requirements
- 4+ years analyzing social advertising performance and using social platform specific analytics tools (ie Meta Advanced Analytics)
- Proficiency in data analysis tools and software
- Experience interpreting statistical and machine learning model output
- Demonstrated understanding of data visualization techniques, BI systems
- Experience with Mobile app, Media, Social, influencer partnership
Responsibilities
- Develop solutions that are reusable, readily discoverable by decision makers, and self-service oriented
- Drive meaningful interpretation of data and supporting media optimization
- Leverage analytical techniques to develop scalable, efficient, and impactful data products
- Dive deep into the details to uncover the story behind the data
- Identify and promote methods that enhance efficiency in analytics and reporting
- Evaluate the viability of automated methods for data collection, reporting, and analysis
- Share insights and analytical experience through various means, including dashboards, reports, and visualizations
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.
- 4+ years experience in marketing analytics specifically at a Fortune 100 or a media company.
- 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.
- Embody our culture and values.
