Wednesday, May 20, 2015

Director - Analytics - Nike - Beaverton


Job description
At Nike we are always on the offense, and we are looking for aninnovative and experienced analytics expert to lead our North America Analyticsteam. NAA is responsible for leveragingpredictive analytics to enable and enhance decision making across ourcommercial offense and drive to actionable insights against our strategicpriorities, as well as elevating the function of analytics in North America.



As the Director for North America Analytics, you will shape thefuture of analytics at Nike by leading our predictive analytics approach andproject portfolio, gaining insights from data and presenting actionableinsights to senior leaders, developing our predictive analytics capabilities,and enhancing our analytics platform across North America. You will identify and prioritize high-impactstrategic opportunities that will help Nike surpass its aggressive growthtargets. We are looking for an innovative and experienced expert in the synthesis andpackaging of retail or marketplace analytics to join our team. The idealcandidate will have a history of developing creative and effective analyses toexplore marketplace opportunities, translating complex findings into actionableinsights, and a proven ability to partner with key business stakeholders to driveimpact. Key responsibilities:

· Leading a team of data scientists, businessanalytics managers, and visualization experts
· Synthesizing and translating complex findingsinto relevant and actionable insights
· Working with senior executive clients tounderstand requirements and improve opportunities to drive knowledge intoaction
· Working to elevate analytics in North America
· Analytics platform/tool selection

Desired Skills and Experience
Advanced degree - MS or PhD - in Statistics or related field with at least 10 years of related industry experience
Demonstrated ability to work with software packages such as SAS, R, GAMS, Matlab, and Cognos
Experience leading teams - including Data Scientists, Data Modelers, and Advanced Analytic Experts
Experience synthesizing and packaging complex analysis and delivering results to non-technical audiences including Senior Leadership
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