Data Analytics Manager

Nike • Beaverton, OR

422d • Remote

About The Position

The Data Analytics Manager at Nike Inc. is responsible for participating in the design and analysis of analytics products to enable data-driven business decisions. This role involves translating complex business requirements into data requirements, conducting end-to-end analysis, and contributing to data architecture designs. The manager will also document data architecture solutions and assist in user training for data product adoption.

Requirements

• Master's degree in Data Analytics, Computer Science, or Software Engineering.
• 2 years of experience in the job offered or in an analytics-related occupation.
• Experience with data warehouse BI analytics solution design.
• Familiarity with Agile management systems, such as Jira or Confluence.
• Knowledge of Agile scrum processes.
• Experience with dimensional modeling.
• Familiarity with AWS database management systems.
• Experience with SSAS cubes, tabular, and Cognos package.
• Proficiency in data visualization tools, such as Tableau, IBM Cognos, and PowerBI.
• Experience in business process mapping.

Responsibilities

• Participate in the data analysis and design of analytics products within a focused area of the Nike business value stream.
• Translate complex business requirements into data requirements and work with internal customers to define data requirement details.
• Participate in structured, 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.
• Perform 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.
• Support standard methodologies in data analysis, data integrity, unit testing, data quality control, system integration testing, modeling, validation, and documentation.
• Develop SQL queries and data visualizations to fulfill ad-hoc analysis requests and ongoing reporting needs.

Benefits

• Telecommuting available from anywhere in the U.S. (with some state restrictions).

What This Job Offers

• Job Type: Full-time
• Career Level: Mid Level
• Industry: Leather and Allied Product Manufacturing
• Education Level: Master's degree
• Number of Employees: 10,001+ employees