Digital Analyst

REI (Recreational Equipment Inc.)•Seattle, WA

18h

About The Position

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.

Requirements

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

Nice To Haves

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)

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