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Sr. Data Analytics Manager

Sr. Data Analytics Manager

CompanyNike
LocationBeaverton, OR, USA
Salary$Not Provided – $Not Provided
TypeFull-Time
DegreesBachelor’s
Experience LevelMid 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

    No preferred qualifications provided.