Digital Analyst

Recreational Equipment, Inc.; Seattle (WA); On-site; USD 74,400 - 119,100; Full time

Benefits offered by this job

Employee discount

Health benefits

Retirement plan

Paid time off

Job summary

REI Co-op is seeking a quantitative analyst to enable better data-driven decision making for Digital product teams. You will plan and analyze A/B tests, shape analytic data specifications, and ensure data quality.

The role emphasizes storytelling with data and actionable insights through dashboards. Required skills include SQL, analytics tools, and visualization platforms; experience with cloud data platforms like Snowflake/Databricks is preferred.

Qualifications

• 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 statistical analysis principles including Bayesian statistics and applying them to analysis design with supervision
• Experience with visualization programs like Sigma or Tableau, including preparing data and writing calculations
• Proficiency with data models and schemas
• Experience with cloud-based data and AI platforms (Snowflake, Databricks)
• Familiarity with data transformation frameworks (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
• Ability to shape story around data with clear problem statements, hypotheses, evidence, results and recommendations
• Clear communication across various methods and situations

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 with budget and forecast processes and performance metrics
• Utilize advanced modeling tools (e.g. R, Python, SAS, SPSS)
• Communicate a summary of customer performance to stakeholders
• Create visually effective interactive dashboards that lead to insights and actionable recommendations

Skills

Data storytelling

Statistical analysis

Communication

Analytical reasoning

Experimentation

Education

Bachelor's degree in a quantitative field

Advanced degree in quantitative field / business / psychology / marketing

Tools

SQL

Adobe Analytics

Tableau

Sigma

PowerBI

R

Python

Snowflake

Databricks

dbt

Job description

Overview

REI Co-op is united around discovering, building and celebrating better ways of working in this world, all so that folks can find and pursue a love of the outdoors. When you work for the co-op, you do your best work with the support to live your best life. And you play a part in shaping the future of the outdoors, for people and our planet.

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)

Closing

At REI, we believe the outdoors is for all. We are committed to becoming a fully inclusive, anti-racist, multicultural organization. We know that there's strength in our diversity - that each employee brings unique skills, experiences, and perspectives. Every day you are driving change, fostering a culture of respect, and knowing you're backed by benefits that support your whole life. To work towards this commitment and fulfill our brand promise of inspiring and enabling a life outside for everyone, we seek employees who demonstrate different ways of working, create a sense of belonging, and actively listen and learn.

Pay Transparency

We are committed to practices that promote pay equity and transparency. As required by applicable Pay Transparency laws, REI provides a range of compensation for roles that may be hired in locations under these requirements. Factors that may be used to determine your actual salary may include a wide array of factors, including: your specific skills and experience, geographic location or other relevant factors.

REI offers all regular employees a generous employee discount, access to health benefits, a retirement savings plan and accrued time off. Click here for a detailed overview of benefits plans by employee profile.

Pay Range

$74,400.00 - $119,100.00 per year