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)
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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.
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.
