Microsoft's Global Marketing Engines and Experiences (E&E) team needs to enable data-driven marketing decisions that drive customer engagement and revenue growth by providing data products and insights to measure marketing’s performance and impact, understand the customer experience, and develop systems of learning for marketers.
Requirements
- 4+ years of experience with data analysis tools (e.g., SQL, Python, R) and visualization platforms (e.g., Power BI, Tableau, Looker), including DAX and Microsoft Fabric.
- 2+ years’ experience interpreting statistical modeling results or analyzing a/b experiments.
- 2+ years’ experience analyzing marketing campaign performance.
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 and shape organizational understanding through compelling storytelling.
- Recommend and socialize optimal methods for operationalizing, sharing, and scaling insights.
- Evaluate the viability of automated methods for data collection, reporting, and analysis.
- Establish clear linkage between A/B test results and desired business outcomes.
- Define, design, and promote appropriate feedback and evaluation methods.
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 of experience leading technical efforts and collaborating effectively with cross-functional teams (Product, Engineering).
- 4+ years of experience presenting complex data insights to both technical and non-technical senior level stakeholders.
- 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.
