Data Analyst

Data Analyst –NIKE RETAIL SERVICES INC.-Beaverton, OR.Work with a team of expert analytics managers, engineers and product owners to design innovative and effective solutions to enable operations teams to support business priorities and objectives. Consult with multiple multi-functional partners and take ownership of the design solutions with partners. Build proofs-of-concept, present findings, and work with partners to promote and deploy solutions. Interact with data experts to ingest data as necessary, and build the queries, reports, dashboards, procedures and processes to deliver solutions. Work with the team to train and educate, ensuring your solutions are supported and sustainable. Deliver technical solutions which will drive the greatest benefit for Nike. Support strategy development and deployment of new capabilities across Nike’s North America Supply Chain. Work with agility to ensure Nike’s Supply Chain can meet the demands of our consumers. Partner with logistics professionals concerned with international and domestic transportation of all Nike products to our accounts and direct to our consumers. Work with Marketplace Operations to provide insights to manage, forecast and plan for successful delivery to their accounts. Work with advanced analytics teams to enable long-term supply chain strategy and plan for our supply chain of the future. Work with Nike Direct Digital commercial teams to meet the ever-increasing demands of our consumers; and work with data & analytics managers, directors, data scientists and operations managers to ensure partners have the information they need in order to monitor key business processes and confidently take action. Telecommuting is available from anywhere in the U.S., except from AK, HI, MT, NC, ND, SD, VT, and WY. 

Must have a Master’s degree in Computer and Information Systems,Computer Science, Engineering and 2 years of experience in the job offered or ina Analyst-related occupation.Experience must include:

• Microsoft SQL – SSRS, SSAS, SSIS

• DevOps tasks; deployment pipelines, automation, QA to Production replication, data testing and validation

• Snowflake

• JIRA

• Azure Server Management

• API development

• DAG/Air Flow systems

• AWS S3 / EMR

• Azure Data Factory

• BI tool methodology

• Teradata

• Hadoop

• Python