Data & Applied Scientist at Microsoft

Data & Applied Scientist Details

Nov. 2, 2018, 10:15 p.m.
Individual Contributor
Redmond, WA
(CSCP-E) Analytics team Capacity, Supply Chain
The Capacity, Supply Chain and Provisioning (CSCP) group within Azure engineering is an exciting and fast evolving engineering group within Microsoft and powering Microsoft's Cloud First mission. CSCP is responsible for designing, building and operating Microsoft unified global datacenters; managing demand planning and capacity utilization of the unified infrastructure. CSCP supports over 200 online businesses including Azure, Bing, O365, OneDrive, Xbox and Windows branded services. Are you interested in guiding key business decisions around Microsoft Cloud (Azure) customer bases? Are you interested in honing your data engineering and analytics skills? Do you want to build a cutting-edge highly scalable analytics platform using latest technologies such as Azure Data Lake, Kusto, SQL Server, Power BI, Cosmos? Cloud Supply Chain and Provisioning Engineering (CSCP-E) Analytics team is looking for an experienced, self-driven, analytical Business Intelligence professional. In this role, you

The right candidate will possess excellent business and communication skills, be able to work with business owners to develop and define key business questions, have experience in building large business intelligence systems. Your responsibility will include the following: Design, implement and support Supply Chain and Deployment Analytical platform that will enable insights to analyze and measure the rhythm of business Developing ETL platform to acquire and integrate data from diverse sources like Azure Data Lake, Kusto, SQL Server, Cosmos, flat files etc. Create Near Real Time Data Mart to support
Skills and Qualifications: Bachelor's degree in Computer Science, MIS, related technical field, or equivalent work experience. At least 5 years of relevant work experience in analytics, data engineering, business intelligence or related field Both technically deep and business savvy enough to interface with all levels and disciplines within the organization Demonstrable ability in data modeling, ETL development, and Data warehousing, or similar skills Demonstrable skills and experience using SQL with large data sets (e.g. Oracle, SQL Server, Redshift) Proven track record of successful communication
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