Employer: REI

What’s cool about this job

  • REI is committed to becoming a fully inclusive, antiracist, multicultural organization.
  • To fulfill our brand promise of enabling a life well-lived outside for everyone, we are seeking candidates who demonstrate shared values of diversity, equity, inclusion, and antiracism.

This role is remote-eligible and can be based in any state where there is an REI Store.

  • In this role, you will contribute to REI’s success by providing strategic analysis that answers key business questions and provides insight that informs decisions related to REI programs and projects.
  • You will support teams across the Retail Operations division and will deliver data at a level of detail that drives sound decision-making and allows for clear communication of complex analysis.
  • Works on problems of diverse scope in collaboration with strategy and program owners where analysis includes mostly tangible factors.
  • Shares data through clear and focused reporting. Leverages advanced visualization techniques and interactive data structure to enable action from business users.
  • Demonstrates the ability to build a story with a clear problem statement, evidence-supported hypothesis, results, and recommendations.
  • Delivers insights using multi-faceted descriptive and statistical analyses to influence business peers.
  • Understands the value of building analytical datasets to approach solving similar analytics questions from a single platform.
  • Understands technology stack and interoperability and can perform complex data queries with minimal guidance.
  • Develops basic data sets to power-efficient delivery of insights, including manual data sourcing for production-grade solutions
  • Drive data quality efforts in partnership with Business Intelligence, Customer Insights, Information Technology and cross-divisional stakeholder groups
  • Provides actionable recommendations to inform business plans affecting new and existing programs.
  • Demonstrates experience with common data issues like reliability, anomaly detection, and resolution, data governance.

Bring your passion and expertise

  • Intermediate level data query, data analysis and data visualization/ communication
  • Experience with extraction and manipulation (e.g. SQL) of relational data
  • Experience with other statistical analysis and other modeling techniques (e.g. Python, R)
  • Experience with visualization programs (Tableau preferred) including a solid understanding of preparing data and writing calculations to best analyze data.
  • Microsoft office suite for communication, presentation and data analysis. Utilized Excel for analysis and report delivery
  • General knowledge of the principles, theories, and best practices within analytics as well as general business practices and procedures.
  • Uses business knowledge, innovative thinking, and sound judgment in the solution of problems or the pursuit of business opportunities