Sr. Data Analytics Manager
Company | Nike |
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Location | Beaverton, OR, USA |
Salary | $Not Provided – $Not Provided |
Type | Full-Time |
Degrees | Bachelor’s |
Experience Level | Mid Level, Senior |
Requirements
- Bachelor’s degree in Business, Statistics, Mathematics, Economics, or Computer Science and one year of experience in the job offered or related Data Analytics occupation
- 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 Packages
- Data visualization tools, such as, Tableau, IBM Cognos, and PowerBI
- Business process mapping
- No Degree and 3 years of the job offered or related Data Analytics occupation
Responsibilities
- Participate in data analysis and design of analytics products within a focused area of Nike’s business value stream to enable data driven business decisions
- Drive performance and lead to accomplish annual goals
- Translate complex business requirements into data requirements and work with internal customers to define data requirement details based on expressed partner needs
- Work on structured and 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
- Work on extensive data profiling to understand data behavior and business rules
- 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
- Develop SQL queries and data visualizations to fulfill ad-hoc analysis requests and ongoing reporting needs demonstrating standard query syntax
Preferred Qualifications
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No preferred qualifications provided.