The Global Marketing Engines and Experiences (E&E) team within Microsoft is looking to solve problems in online marketing and deliver integrated marketing experiences by building, running, and innovating a globally scaled engine to deliver connected journeys that delight customers and create fans.
Requirements
- 2+ years of experience with data engineering and modeling tools applied to Petabyte-scale data sets (e.g. Azure Data Factory, Azure Synapse, Spark)
- 2+ years of experience with tools for navigating and analyzing data (e.g. SQL, R, Python) and building data visualizations that answer business questions (Power BI, Data Analysis Expressions (DAX), Fabric)
- 2+ years of experience leading technical efforts and collaborating effectively with cross-functional teams (product, engineering), and present complex data insights to both technical and non-technical senior level stakeholders
- 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 (preferred)
- 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 (preferred)
Responsibilities
- Lead large complex analytics and reporting projects, delivering accurate, accessible, and repeatable business reporting and insights to stakeholders across all levels.
- Demonstrate leadership and subject matter expertise in business and data landscape, standardized reporting, and analysis to support performance discussions across multiple channels.
- Design and implement scalable tools and self-serving dashboards to support business performance, fuel data driven decision making, identify customer engagement patterns, and other outcomes that foster a culture of learning in the Marketing organization.
- Proactively help the business leverage data and insights to enhance our ability to inform on marketing efforts and increase efficacy of our approaches.
- Apply a customer/stakeholder-oriented focus and user experience and design practices to ensure data analysis is easily consumable through visualization, presentation, and storytelling.
- Execute data analysis using multiple data sets and sources. Lead discussions interpreting results and connecting them to relevant business context.
- Partner with Data Services on technical requirements to enable data availability, data quality, transformations, and integrity for analytics and the wider business self-service usage in a secure and compliant manner.
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
- Must be able to work in a dynamic, customer-focused, and data-rich world of cloud-based business products
- Must be curious, comfortable with ambiguity, detail-oriented and able to use rigorous analytical techniques to develop scalable, efficient, and effective analytical data products
- Must be able to build on the successes of others, value cross team collaboration, and contribute to a diverse and inclusive workplace
- Must be able to embody our culture and values
