Website Microsoft Corporation
When you look for your future jobs then ask yourself why you want to join Microsoft Corporation. The Microsoft Corporation is offering excellent employee benefits for its new position, Data & Applied Scientist. Don’t miss the local application deadline at Redmond, Washington.
Organization: Microsoft Corporation
Location: Redmond, Washington
The Capacity, Supply Chain & 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 & 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 & Provisioning Engineering (CSCP-E) Analytics team is looking for an experienced, self-driven, analytical Business Intelligence professional. In this role, you will be intelligent, near real time supply chain analytics platform that provides end to end detailed visibility into supply chain from capacity hand off to fulfillment and uses machine learning to provides insights into potential risks, performance that helps in continuous optimization and cost savings. Our goal is to build an intelligent Supply Chain Analytics platform that provide the right information to the right decision maker at the right time and enables supply chain ecosystem that delivers the right hardware at right times with lowest cost.
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 & 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 business operational requirement
· Recognize and adopt best practices in reporting and analysis: data integrity, test design, analysis, validation, and documentation
· Create reports / dashboards using Microsoft technologies like Power BI.
· Continually improve ongoing reporting and analysis processes, automating or simplifying self-service support for customers
· Create analytical model, performing analyses on data to identify trends, patterns, correlations, and providing insights from data. You will partner and collaborate with engineering groups, business stakeholders to predict Supply Chain & Deployment Milestones and identify risks that will help in proactive mitigation and smooth deployment
Skills & 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 of analytical outcomes through written communication, including an ability to effectively communicate with both business and technical teams
Graduate degree in computer science, business, mathematics, statistics, economics, or other quantitative field
7+ years prior experience in a Data Engineer role with a technology company or financial institution.
Knowledge of Advanced SQL and scripting for automation (e.g. Python, Perl or R)
Experience with Azure Data Lake, Kusto, Tabular Cube (Analysis Services)
Familiarity with statistical models and data mining algorithms
Experience with Hadoop or other map/reduce “big data” systems and services.
Experience in Data Center Supply Chain business
Exceptional interpersonal and communications (verbal and written) skills.
Microsoft is an equal opportunity employer. All qualified applicants will receive consideration for employment without regard to race, color, sex, sexual orientation, gender identity or expression, religion, national origin or ancestry, age, disability, marital status, pregnancy, protected veteran status, protected genetic information, political affiliation, or any other characteristics protected by local laws, regulations, or ordinances.
Microsoft is an equal opportunity employer. All qualified applicants will receive consideration for employment without regard to age, ancestry, color, family or medical care leave, gender identity or expression, genetic information, marital status, medical condition, national origin, physical or mental disability, political affiliation, protected veteran status, race, religion, sex (including pregnancy), sexual orientation, or any other characteristic protected by applicable laws, regulations and ordinances. We also consider qualified applicants regardless of criminal histories, consistent with legal requirements. If you need assistance and/or a reasonable accommodation due to a disability during the application or the recruiting process, please send a request via the Accommodation request form.
Benefits/perks listed below may vary depending on the nature of your employment with Microsoft and the country where you work.
Benefits and Perks
Industry leading healthcare Savings and investments Giving programs Educational resources Maternity and paternity leave Opportunities to network and connect Discounts on products and services Generous time away