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 . Maximize analytics return on investment, driving scalable data architecture, and delivering data products to enhance decision making across Nike's Global functions. Translate complex business problem statements into analysis requirements and work with internal customers to define data product details based on expressed partner needs. Document systems/analytics solutions to the business, translating complex functionality into business relevant language. Support end-to-end analysis to inform product strategy, data architecture and reporting decisions. Drive the solving of complex data problems demonstrating analytical and statistical rigor. Develop SQL queries and data visualizations to fulfill ad-hoc analysis requests and ongoing reporting needs demonstrating standard query syntax. Document data architecture solutions, business requirements, training material and business processes for both business and technical audiences. Validate data integrity within back-end data assets and data products supporting accurate and consistent reporting and analytics. Serve as domain expert on data and business process within area of focus. Drive adoption of and socialize the data products with end users through user training. Support standard methodologies in reporting and analysis: data integrity, unit testing, data quality control, system integration testing, modelling, validation, and documentation. Monitor and solve operational or data issues in the data pipelines. 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 Bachelor's degree in Computer Science , Computer Information Systems, or Electronic Engineering and 3 years of experience in the job offered or a computer-related occupation. Experience must include:

• Business analysis

• SQL

• Snowflake

• Data visualization

• Data architecture;

• Agile methodologies

• Data management systems, such as Teradata

• AWS, Git, and Tableau

• Dimensional modeling

• Figma

Apply at www.jobs.nike.com (Job# R-48395)

#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.

Benefits

Whether it's transportation or financial health, we continually invest in our employees to help them achieve greatness - inside and outside of work. All who work here should be able to realize their full potential.