Become a Part of the NIKE, Inc. Team

NIKE, Inc. does more than outfit the world’s best athletes. It is a place to explore potential, obliterate boundaries and push out the edges of what can be. The company looks for people who can grow, think, dream and create. Its culture thrives by embracing diversity and rewarding imagination. The brand seeks achievers, leaders and visionaries. At NIKE, Inc. it’s about each person bringing skills and passion to a challenging and constantly evolving game.

Lead, Insights & Analytics Manager - NIKE RETAIL SERVICES INC.- Beaverton, OR. Drive scalable and sustainable impact using existing analytics capabilities and develop new analytical solutions to empower decision making for Nike Direct Stores in North America. Manage development and execution of reporting and analytics tools to enable data driven business decisions that drive performance and lead to the accomplishment of annual goals. Develop frameworks for automated validation of data integrity within data products supporting accurate and consistent reporting and analytics. Plan and lead development of quantitative research, casual inference, forecasting, and predictive models to measure and predict effectiveness of Nike initiatives and promotions. Collaborate with Nike Direct store leaders to help create, deliver, and optimize world class retail experiences through innovative retail concept, connected services, and distinctive Nike experiences. Partner closely with cross-functional analytics teams across geographies to create and implement scalable insights. Deliver recommendations to best serve Nike Direct consumers and their evolving needs, and drive consumer engagement and growth in North America. Translate complex statistical concepts and analyses for the business. Telecommuting is available from anywhere in the U.S., except from AK, HI, MT, NC, ND, SD, VT, and WY. 

Must have a Master’s degree in Science, Statistics, Mathematics, Computer Science, Economics or Business Analytics and 2 years of experience in the job offered or in a Analytics-related occupation. Experience must include: 

  • SQL 

  • Python 

  • R 

  • Tableau 

  • Pyspark 

  • Git 

  • Experimental Design 

  • Causal Inference 

  • Analytical Modeling 

 

 Apply at www.jobs.nike.com (Job# R-52004 )  

#LI-DNI

We are committed to fostering a diverse and inclusive environment for all employees and job applicants. We offer a number of accommodations to complete our interview process including screen readers, sign language interpreters, accessible and single location for in-person interviews, closed captioning, and other reasonable modifications as needed. If you discover, as you navigate our application process, that you need assistance or an accommodation due to a disability, please complete the Candidate Accommodation Request Form.

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What You Can Expect

OUR HIRING GAME PLAN

01 Apply

Our teams are made up of diverse skillsets, knowledge bases, inputs, ideas and backgrounds. We want you to find your fit – review job descriptions, departments and teams to discover the role for you.

02 Meet a Recruiter or Take an Assessment

If selected for a corporate role, a recruiter will reach out to start your interview process and be your main contact throughout the process. For retail roles, you’ll complete an interactive assessment that includes a chat and quizzes and takes about 10-20 minutes to complete.  No matter the role, we want to learn about you – the whole you – so don’t shy away from how you approach world-class service and what makes you unique.

03 Interview

Go into this stage confident by doing your research, understanding what we are looking for and being prepared for questions that are set up to learn more about you, and your background.

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