Overview
This role contributes to REI's success by enabling better data-driven decision making, acting as an authoritative source for A/B testing, forecasting, advanced analytics, planning, data visualization, and statistical design. Specifically, this role will support Digital product teams through planning and analysis of A/B tests, as well as analytic data specifications and analytic data quality control.
Responsibilities and Qualifications
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)
Pay Range
$74,400.00 - $119,100.00 per year
