Lead Insights & Analytics Manager

Lead development and evolution of lifecycle data capabilities including triggered campaign audience design & experimentation, member state table design & integration, experimental lifecycle journey modeling, and member centric financial modeling; collaborate with the Global Nike Direct Member Growth team to find opportunities where we can use data to make better decisions; manage the process of building novel methods of analyzing data that could lead us to new insights or dispel myths about old ways of thinking; deliver presentations grounded in data that identify key trends, themes and offer recommendations on solutions to key questions; provide a perspective on data maintenance, analytics, and optimization to deliver the best experience for NIKE consumers and our business; analyze complex business problems and issues using data from internal and external sources to provide insight to decision-makers; identify and interpret trends and patterns in datasets to locate influences; construct forecasts, recommendations and strategic and tactical plans based on business data and market knowledge; oversee the creation of specifications for reports and analysis based on business needs and required or available data elements. Telecommuting is available from anywhere in the U.S., except from AK, AL, AR, DE, HI, IA, ID, IN, KS, KY, LA, MT, ND, NE, NH, NM, NV, OH, OK, RI, SD, VT, WV, and WY. 

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

1. SQL; 

2. Data visualization techniques & presentation software (Keynote, Powerpoint); 

3. Python/R/SAS; 

4. Forecasting; 

5. Predictive and Explanatory Statistical Modeling such as clustering; 

6. Retail Math; 

7. Reporting solutions such as Tableau; 

8. Familiarity with data platforms like Oracle, Hive, Snowflake, etc.; 

9. Lifetime Value estimations; 

10. Marketing vehicles (SEO, SEM, email) and the associated KPIs; 

11. Loyalty programs and the associated measurements and KPI design; 

12. Inventory metrics and analysis; 

13. Hypothesis testing; and 

14. Advanced data manipulation skills in Excel, R or Python. 

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

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