Digital Analyst

REI

Washington

On-site

USD 75,000 - 115,000

Full time

14 days+
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Benefits offered by this job

Employee discount
Health benefits
Retirement plan
Paid time off

Job summary

REI is seeking a data analyst to drive business insights for the Digital Product team. You will analyze web analytics, build interactive dashboards, and communicate data-driven recommendations to stakeholders.

The role emphasizes A/B testing, statistical analysis, and collaborating on budget and forecasting processes to mitigate risks and spot opportunities.

Qualifications

  • Undergraduate degree with 2–3 years of related experience, OR advanced degree in quantitative field with 1 year of experience.
  • Ability to create data-driven stories for stakeholders with a bias for action.
  • Experience with web-based analytics tools (Adobe Analytics preferred).
  • Familiar with statistical principles including Bayesian stats and significance.

Responsibilities

  • Execute projects, reports, and insights to primary stakeholders under guidance of a senior analyst.
  • Plan and analyze A/B and multivariate test activities (design, execution, analysis).
  • Write and edit queries (SQL preferred) to retrieve data from relational databases.
  • Produce compelling data visualizations and dashboards enabling actionable insights.
  • Support the Digital Product team with annual budget and quarterly forecast process.
  • Utilize modeling tools such as R, Python, SAS, SPSS for analysis.
  • Communicate summary of customer performance to stakeholders clearly.

Skills

SQL
Data visualization
Statistical analysis
Storytelling with data
A/B testing
Python/R basics

Education

Bachelor's degree
Advanced quantitative degree

Tools

Sigma
Tableau
Power BI
SQL/DBT
Databricks
Snowflake

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.

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 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.
Company Culture

At REI, we believe the outdoors is for all .

We are committed to becoming a fully inclusive, anti-racist, multicultural organization (https://www.rei.com/newsroom/article/rei-antiracist-multicultural-fully-inclusive-commitment) .

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.

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