Senior Data Analyst– NIKE, Inc.- Beaverton, OR. Design, develop, and implement new decision support solutions that help the business leverage data to make informed decisions; assist the business Product Owner with requirements gathering, documentation, and story creation, while taking ownership of data profiling and analysis of raw and curated data; design data flows to intake financial transactions, develop and test complex business rules, and identify and model data against product and customer attribution to support financial optimization and deep analytics; responsible for building the financial analytic capabilities that transform Nike to meet the challenges of a mixed retail and wholesale future; help the business Product Owner create and drive an agile product backlog within the scrum team as together you work to deliver transformational reporting and analysis; and work with the wider product team to drive roadmaps that provide a larger solution viewpoint and align to stakeholder expectations. 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, Data Engineering, or Information Technology and Analytics and 2 years of experience in the job offered or an analyst-related occupation. Position requires:

• Cloud Data Platforms such as Databricks and Snowflake
• Database systems tools such as SQL Server and Teradata
• Proficiency with the Microsoft SQL Server suite, including SSMS, SSRS, SSAS, and SSIS
• BI Tools like Tableau, Power BI, ThoughtSpot, and Cognos
• ETL Tools such as Tableau Prep, Alteryx, Azure Data Factory, and DAG/Airflow systems
• DevOps tasks like deployment pipelines, automation, and QA to production replication
• Familiarity with AWS services, including EC2, EMR, S3, RDS, and Athena
• Python programming with libraries such as Spark and Pandas
• Familiarity with REST API development
• Knowledge of project management tools like JIRA, Azure DevOps, and Confluence

Apply at www.Nike.com/Careers (Job# R-84913) #LI-DNI 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.