HR Data Analyst
@ REI (Recreational Equipment Inc.)

Seattle, Washington, United States
$111,000
On Site
Full Time
Posted 1 day ago

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XXXXXXXXXX XXXXXXXXXXX XXXXXXXXXX******* @rei.com
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Job Details

Overview

The HR Data Analyst position at REI (Recreational Equipment Inc.) contributes to the success of the HR division by analyzing data and insights, establishing data governance processes, and evolving HR metrics from manual reporting to automated dashboards.

Key Responsibilities

  • Compile and interpret data to develop executive summaries.
  • Partner with the HRIS team for integrated data analysis.
  • Generate monthly reports for leadership decision-making.
  • Create and maintain interactive dashboards using SQL, R, Python, or other tools.
  • Support stakeholders with HR data acumen and continuous improvement.

Required Skills & Experience

  • Bachelor’s degree or equivalent in a related field.
  • 3+ years of data/analytics experience with HR data insights.
  • Proficiency with UKG, Snowflake, SQL, Alteryx, Python, R, Tableau, Sigma, and MS Excel.
  • Strong communication skills using PowerPoint and MS Word.
  • Ability to work under tight deadlines and multi-task effectively.

Preferred Qualifications

  • Expertise in data warehouse querying and extraction with SQL.
  • Experience with dbt and fluency in at least one programming language.

Key Skills/Competency

  • Data Analysis
  • Data Governance
  • Dashboard Development
  • SQL
  • Python
  • Reporting
  • HR Analytics
  • Visualization
  • Statistical Analysis
  • Collaboration
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How to Get Hired at REI (Recreational Equipment Inc.)

🎯 Tips for Getting Hired

  • Research REI's culture: Study their mission and values online.
  • Customize your resume: Highlight HR analytics and dashboard skills.
  • Showcase technical skills: Emphasize SQL, Python, and reporting.
  • Prepare examples: Demonstrate data-driven decision projects.

📝 Interview Preparation Advice

Technical Preparation

Review SQL queries and dashboard tools.
Practice data extraction using Python and R.
Familiarize with HRIS systems and datasets.
Update skills on data visualization platforms.

Behavioral Questions

Describe a time you analyzed complex data.
Explain collaboration with cross-functional teams.
Share experience under tight reporting deadlines.
Discuss a challenge in data governance.

Frequently Asked Questions