Nike Data Analytics Manager 

United States, Oregon, Beaverton 

659966315

Data Analytics ManagerBeaverton, ORTranslate 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. Independently 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. Thoroughly 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 Statistics, Analytics, Mathematics, Computer Science Engineering, Electronics Engineering and 5 years of progressive post-baccalaureate experience in the job offered or inanalytics-related occupation. Experience must include:

• Data warehouse/BI/Analytics Solutions Designing

• Dimensional Modeling

• Teradata, Oracle, SQL Server,Etc

• Snowflake

• Data Architecture

• AWS

• Data Profiling and Analysis

• Agile methodologies and processes using Jira, Kanban

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