drjobs Lead Insights and Analytics Manager

Lead Insights and Analytics Manager

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1 Vacancy
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Job Location drjobs

Beaverton, OR - USA

Monthly Salary drjobs

Not Disclosed

drjobs

Salary Not Disclosed

Vacancy

1 Vacancy

Job Description

Lead Insights and Analytics Manager NIKE Retail Services Inc Beaverton OR. Drive scalable and sustainable impact from our analytics capabilities. Build recommendations that reveal the opportunities where our elevated store concepts and services are uniquely placed to attract and retain consumers. Translate complex analytics into concise stories for the business and familiar with retail consumer trends for premium brands. Understand the role membership programs & services play in driving value for directtoconsumer brands. Act as consumer advocate for our Nike Direct Stores. Partner with leadership to deliver insights and recommendations to serve our Nike Direct consumers and their evolving needs. Profile our Nike Direct store consumer and their relationship with our premium products leading to optimized strategies to deliver value to these consumers and the Nike business. Implement a test and learn offense. Deliver solutions and education that empower business stakeholders to selfserve. Sit within a centralized Analytics & Insights function for North America and serve as a well rounded Nike Direct Stores data. Insights expert report to the Directors of Nike Direct Inline Store Analytics and Nike Direct Value Store Analytics. Partner with Nike Direct store leaders to help that team create deliver & optimize world class retail experiences through innovative retail concept connected services and distinctive Nike experiences. Partner closely with crossfunctional analytics teams to create and implement scalable insights to drive consumer engagement and growth in North America. Telecommuting is available from anywhere in the U.S. except from AK HI MT NC ND SD VT and WY.

Employer will accept a Masters degree in Business Administration Data Analytics Business Analytics and Project Management or Engineering and 2 years of experience in the job offered or in an analyticsrelated position.

  • SQL

  • Python programming

  • R Statistical language

  • Time series forecasting

  • Campaign analysis (A/B Testing)

  • Business intelligence platforms (Snowflake)

  • Data visualization (Power BI Tableau Looker)

  • Data manipulation using advanced Microsoft excel

  • Data analysis

  • Predictive modelling

  • Cloudbased big data platforms (Databricks Domino)

  • Business communication tools Powerpoint / Keynote)

#LIDNI

We offer a number of accommodations to complete our interview process including screen readers sign language interpreters accessible and single location for inperson 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.


Required Experience:

Manager

Employment Type

Full Time

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