Global Intelligence Analyst II

Nike•Beaverton, OR

About The Position

The Global Intelligence Analyst II joins the Analytics & Innovation Intelligence team in the Nike Intelligence Center. The Nike Intelligence Center provides insight into global trends, risks, and issues affecting Nike’s business and operations to support its competitive advantage. The analyst builds and maintains scalable dashboards, reporting, and intelligence products for leadership audiences, translating business requirements into analytics solutions and adapting products as stakeholder needs evolve. The role works with cross-functional teams across Loss Prevention, Global Investigations, Global Communications, Resilience, Global Technology, and other groups to inform operational, investment, protection, and business decisions.

Requirements

  • At least 3 years of experience in Data Science, Business Analytics, or related fields.
  • At least 3 years of experience in Business Intelligence, Analytics, or related fields.
  • Bachelor’s degree in Business Analytics, Statistics, Mathematics, Economics, Information Systems, or a related field; a suitable combination of education, experience, and training is accepted.
  • Hands-on experience with SQL and proficiency in at least one scripting language, such as Python or R.
  • Experience in predictive analytics, forecasting, A/B testing, complex modeling, and analysis.
  • Experience administering or enhancing self-service reporting environments.
  • Ability to synthesize multiple data sources and influence decision-making across diverse stakeholder groups.
  • Experience with process automation and data quality practices.
  • Ability to communicate findings clearly to technical and non-technical audiences.

Responsibilities

  • Build and maintain intelligence products, dashboards, and reporting for leadership audiences.
  • Translate business requirements into scalable analytics and intelligence solutions.
  • Deliver dashboards for resilience, strategic intelligence, and executive reporting initiatives.
  • Apply analytical methods to identify trends, risks, opportunities, and performance drivers.
  • Automate manual processes to modernize the reporting ecosystem and accelerate insight delivery.
  • Partner with stakeholders to keep intelligence products aligned with changing business needs.
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