Beaverton, Oregon
13 days ago
Data Analytics Manager

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.

Data Analytics Manager - NIKE INC.- Beaverton, OR. Participate in the data analysis and design of analytics products within a focused area of the Nike business value stream to enable data driven business decisions that will drive performance and lead to the accomplishment of annual goals. Serve as a domain specialist on data and business processes within area of focus. Translate complex business requirements into data requirements and work with internal customers to define data requirement details based on expressed partner needs. Participate in structured, end-to-end analysis to inform product strategy, data architecture and reporting decisions. Analyze existing datasets and interfaces to understand and document current state data architectures. Contribute to future state data architecture designs by applying data requirements, data profiles and business rules to current state architectures in alignment with best practices and standards. Perform extensive data profiling to understand data behavior and business rules. Thoroughly document data architecture solutions, business requirements, training material and business processes for both business and technical audiences. Assist in the adoption of data products with end users through user training. Leverage existing frameworks for repeatable validation of data integrity within data products supporting accurate and consistent reporting and analytics. Support standard methodologies in data analysis, data integrity, unit testing, data quality control, system integration testing, modeling, validation, and documentation. Develop SQL queries and data visualizations to fulfill ad-hoc analysis requests and ongoing reporting needs demonstrating standard query syntax. 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 Data Analytics, Computer Science, or Software Engineering and 2 years of experience in the job offered or in an analytics-related occupation.

Experience must include: 

Data warehouse 

BI Analytics solution design 

Agile management systems, such as Jira or Confluence 

Agile scrum processes 

Dimensional modeling 

AWS 

Database management systems 

SSAS Cubes, Tabular and Cognos Package 

Data visualization tools, such as, Tableau, IBM Cognos, and PowerBI 

Business process mapping 

 

Apply at www.jobs.nike.com (Job# R-47337) 

#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.

NIKE, Inc. is a growth company that looks for team members to grow with it. Nike offers a generous total rewards package, casual work environment, a diverse and inclusive culture, and an electric atmosphere for professional development. No matter the location, or the role, every Nike employee shares one galvanizing mission: To bring inspiration and innovation to every athlete* in the world.

NIKE, Inc. is committed to employing a diverse workforce. Qualified applicants will receive consideration without regard to race, color, religion, sex, national origin, age, sexual orientation, gender identity, gender expression, veteran status, or disability.

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