At Recreational Equipment, Inc. (REI), we exist to inspire and enable life outside for everyone.

We believe that it’s in the wild, untamed and natural places that we find our best selves, so our purpose is to awaken a lifelong love of the outdoors, for all.

Since 1938, we have been your local outdoor co-op, working to help you experience the transformational power of nature. We bring you top-quality gear and apparel, expert advice, rental equipment, inspiring stories of life outside and outdoor experiences to enjoy alone or share with your friends and family. And because we have no shareholders, with every purchase you make with REI, you are choosing to steward the outdoors, support sustainable business and help the fight for life outside.

So whether you’re new to the outdoors or a seasoned pro, we hope you’ll join us.

Responsibilities

• Execute projects, reports, and insights to primary stakeholders under the guidance of a senior or principal analyst.

• Plan and analyze A/B and multivariate test activities (planning, design, execution, analysis)

• Apply principles underlying statistical analysis (e.g. variance, population differences, effect size, significance)

• Write and edit queries (SQL preferred) to retrieve data from relational databases

• Produce compelling data visualizations

• Support the Digital Product team as it relates to the annual budget and quarterly forecast process, delivering business performance metrics, and identifying upcoming risks and opportunities

• Utilize advanced modeling tools (e.g. R, Python, SAS, SPSS)

• Effectively communicates a summary of customer performance to stakeholders

• Create visually effective interactive dashboards that lead to insights and actionable recommendations

Required Skills and Experience

• Undergraduate degree with 2-3 years of related experience, OR an advanced degree in quantitative field, business, psychology, or marketing-related major with 1 year of experience

• Ability to effectively create data driven stories for stakeholders with a bias for understanding and action

• Experience with web-based analytics tools (Adobe Analytics preferred)

• Familiar with the principles underlying statistical analysis (e.g. variance, population differences, effect size, significance), including Bayesian statistics, and can apply them to analysis design with supervision

• Demonstrated experience with visualization programs like Sigma or Tableau, including a solid understanding of preparing data and writing calculations

• Proficiency with data models and schemas

• Experience with cloud-based data and AI platforms (e.g. Snowflake, Databricks)

• Familiarity with data transformation frameworks (e.g. dbt, SQLMesh, Alteryx)

• Familiarity or experience with AI-powered agentic coding assistants

• Experience building visually effective interactive dashboards that lead to insights and actionable recommendations

• Consistently demonstrates ability to shape story around data where there is a clear problem statement, hypothesis, evidence of the hypothesis, results, and clear recommendations

• Ability to clearly convey and accurately receive information from a variety of methods and in various situations

Preferred Qualifications

• Proficiency with SQL, R, or other programming languages for querying relational databases

• Experience with A/B and multivariate test activities (planning, design, execution, analysis) and A/B testing platforms (e.g. Adobe Target, Optimizely, VWO, GrowthBook)

• Experience with statistical analysis and/or advanced modeling tools (e.g. SAS, SPSS, R, Python)

• Experience with data visualization tools (e.g. Sigma, Tableau, PowerBI)