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Data Analyst

21 hours, 22 minutes ago
United States
Full-time
Mid Level
Data Analyst
Data Science and Analytics
Databricks dbt GCP GitHub Google Analytics Looker NetSuite Power BI Python R Segment Shopify Snowflake SQL Tableau
Apply Now
Stio

Stio

Stio is an outdoor apparel company based in Jackson, Wyoming, offering a range of beautiful and functional products for men, women, and kids. Inspired by the soul of mountain lifestyle, Stio creates gear that embodies the essence of mountain life, from...

Textiles, Apparel & Luxury Goods
51-250
Founded 2012
View All Jobs 8

Description

  • Partner with stakeholders across Product Development, Marketing, DTC, B2B, Finance, Operations, and Inventory Planning to define and deliver analyses, dashboards, and data products end to end.
  • Build and maintain dbt models that transform raw source data into trustworthy, well-documented datasets.
  • Develop and maintain dashboards, reports, and semantic context used for day-to-day business operations.
  • Own metric definitions and business semantics and drive alignment when stakeholders disagree.
  • Review, validate, and harden AI-generated SQL, dbt models, and Python code to ensure outputs are semantically correct.
  • Investigate ambiguous data questions by working with source-system owners, reconciling conflicting definitions, and handling edge cases.
  • Help build and maintain the company’s data infrastructure, including Snowflake, Fivetran, dbt, GitHub, Power BI, R, and Python.
  • Improve data governance by creating useful documentation that supports both the team and AI-assisted workflows.
  • Continuously learn and adapt as data analytics practices and tools evolve.

Requirements

  • 3+ years of professional experience as a data analyst, analytics engineer, or similar role.
  • Advanced SQL skills, including CTEs, window functions, messy real-world data wrangling, and the ability to reason about query plans.
  • Hands-on experience with dbt, including writing models, tests, and documentation.
  • Experience with a cloud data warehouse such as Snowflake, BigQuery, Databricks, Redshift, or Microsoft Fabric.
  • Proficiency with Git/GitHub as part of a normal workflow.
  • Experience developing with at least one BI tool such as Power BI, Tableau, Looker, or Omni.
  • A strong point of view on AI-assisted development for analytics work and how to make outputs trustworthy.
  • History of building collaborative, trusting relationships with non-technical stakeholders.
  • Comfort presenting findings verbally, in writing, and visually to leadership.
  • Working knowledge of Python and/or R for analysis is preferred.
  • Experience with tools in the company’s data stack, including Snowflake, Fivetran, dbt, GitHub, Power BI, Python, R, Claude Code, or Codex, is preferred.
  • Experience with systems such as NetSuite, Shopify, Google Analytics, Segment, or Klaviyo is preferred.
  • Professional experience at a DTC or omni-channel retail, apparel, footwear, or outdoor company is preferred.
  • Experience working in a small or solo data team where you owned work end to end is preferred.
  • Must be able to work in a stationary position for 50% to 75% of the work day.

Benefits

  • Base salary range of $85,000 to $100,000, with competitive compensation including incentives and benefits.
  • Medical, dental, and vision insurance plans.
  • Company-paid long-term disability coverage.
  • Employee Assistance Program.
  • 401(k) with company match.
  • Generous paid time off policies.
  • Gear test, perks, and other employee benefits.

Interested in this position?

Apply directly on the company website

Apply Now

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