Lead Data Analyst - Marketing at Microsoft

Lead Data Analyst - Marketing Details

Jan. 21, 2019, 10:19 p.m.
Individual Contributor
Redmond, WA
Marketing (RM) team Azure, Visual Studio,
This rare opportunity at Microsoft is a global role that will be at the forefront of building marketing analytics from the ground up for Azure, Visual Studio, Power BI, Dynamics 365, PowerApps, and Flow. The person in this role will be pioneering the marketing analytics discipline for these products within our Relationship Marketing (RM) team that drives customer loyalty and engagement with our Cloud and Enterprise products. This position is a key role that drives insights about our customer lifecycle and uses those insights to drive investments in the right areas of Relationship Marketing. This position includes stakeholder management and close collaboration with other data analytics teams, data scientists, data engineers, and data infrastructure PMs. This is a high visibility, high impact position with substantial room for growth, management, and leadership opportunity. It is also an opportunity to get in on the ground floor of a multi-year transformation! Microsoft is the world's most

Manage vendor analyst work (7 vendor analysts) and maintain accountability for the quality of their work and throughput, ensuring adherence to standardized frameworks and metric definitions, standardized analytics practices, and standardized automated reporting and visualization. Build upon existing best practices to standardize a framework with standardized metric definitions applied across products for Cloud and Enterprise Relationship Marketing (C+E RM) program-level reporting and overall RM business-level reporting. Develop standardized practices for analytics. Develop standardized framework
A minimum of 10 years hands-on experience in analytics Experience with managing vendor analysts and/or internal team of analysts Experience with B2B marketing analytics a plus Bachelor's degree in computer science, management information systems, engineering, or equivalent required Experience with basic statistical concepts like sample size calculation, statistical significance, causality/incrementality/lift Advanced working knowledge of large data manipulation and data mining using SQL/Cosmos Advanced working knowledge of data visualization tools (Power BI, Tableau) Experience with Data Lake infrastructures
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