Are you someone with a passion for data, analytics, insights and technology? Are you searching for an area where you can have broad impact across one of the biggest software businesses in the world? The Microsoft 365 Insights, Data Engineering and Analytics (Microsoft 365 IDEAs) Team is building a Scorecard Analytics team that will focus on reporting, analysis, forecasting, and facilitating high bandwidth conversations across E+D Engineering, M365 Marketing, and Finance. Our specific charter is to own the Modern Workplace Product Group Field Scorecards and overall DRI for E+D Engineering SLT, Page 1, and Page 2 scorecards. We will provide deep insights to drive action and success for the entire organization. This specific role will be focused on driving this work for the Commercial Small and Medium Business (SMB) audience. This work includes: Providing holistic, M365 - wide customer and business insights Working with a wide array of audiences (Engineering, Marketing, Finance, Sales) and
Partner with specific functions / domains of the Office Business, Engineering, and Finance Work with these stakeholders to define clear signals of success, which translate into simple, easily understood metrics Work with Data Science and Data Engineering resources to develop requirements for data, reporting, views, tools Develop roadmap of data-based capabilities and tools to meet vision of scenarios Lead deep dives and analyses into metric performance and special projects Own rhythm of business (RoB) for data driven meetings (MBRs, Scorecard Reviews, etc ). This includes trend analysis, variance
Qualifications / skills: 3+years' hand s- on analytics experience with proven quantitative orientation Advanced working knowledge of large data manipulation and data mining using SQL Advanced Excel and PowerPoint skills, as well as visualization tools (familiarity with Power BI preferred) Exceptional problem solving, technical and data analysis skills Great written and verbal communication and presentation skills Be self-driven, and show ability to deliver on ambiguous projects with incomplete or dirty data Ability to work in a team environment that promotes collaboration Preferred Qualifications/Skills