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As a Lead Systems Engineer at Nike, you will focus on developing advanced analytics and machine learning solutions. You will own projects from conception to operationalization, lead the team, and leverage tools and prediction models to drive data-driven business decisions. Strong communication and collaboration skills are essential.

As a Lead People Solutions Analyst, you will create and deliver reporting and analytical solutions for HR, focusing on data visualization and insights. You'll engage with HR to provide guidance on metrics and help design automated reporting, requiring a strong understanding of data architecture.

The Software Engineer will develop and configure test programs and advanced analytics solutions, collaborating to build scalable software. Responsibilities include assessing problems, leading technical solutions, and delivering data-driven results, while learning new technologies for continuous improvement.

The Senior Software Engineer will develop and implement software solutions, focusing on analytics and machine learning. Responsibilities include advising product owners, assessing technology solutions, building scalable applications, and solving machine learning problems that impact business decisions. Telecommuting is allowed from most U.S. locations.

The Senior Technical Product Manager develops and implements enterprise-wide technology solutions in a retail context, focusing on inventory accounting and product costing while utilizing SAP systems. They engage with business users for requirements, partner with experts for solution design, validate business needs, and oversee quality management during technical configurations in Agile sprints.

The Senior Product Test Analyst will leverage mechanical engineering and biomechanics expertise to lead research and testing initiatives aimed at innovating NIKE footwear. Responsibilities include managing testing programs, conducting biomechanical research, developing prototypes, and ensuring compliance with testing standards. The role also involves creating inclusive research plans and analyzing results to drive product innovation.

The Senior Data Engineer will design and implement data products, collaborate with teams using Agile/Scrum, and develop high-volume data processing solutions. Responsibilities include optimizing existing solutions, analyzing data, managing data pipelines, automating processes, and ensuring quality across engineering practices while mentoring other engineers.