Stio

Apparel & Fashion

DataAnalyst

$85–100k Denver, Colorado, United States FULL TIME Remote Friendly
Market Sentiment
HIGH DEMAND

Neural analysis suggests this role is
optimal for Mid+ candidates.

The Brief

“Data Analyst at Stio. Skills: Data analysis, Data modeling, BI development, Stakeholder management. Partner with stakeholders. Translate questions into analyses”

Industry & Context.

Apparel & Fashion
Problems you'll solve

Translate ambiguous questions; Investigate ambiguous data questions; Catch silently wrong AI output; Catch issues that pass tests

Eligibility Requirements

Work in stationary position 50%-75%

What They're Looking For.

Must Have

3+ years of professional experience, Advanced SQL, Hands-on experience with dbt, Experience with cloud data warehouses, Version control with Git/GitHub, Experience with BI tool

Nice to Have

Working knowledge of Python, Working knowledge of R, Experience with Snowflake, Experience with Fivetran, Experience with dbt, Experience with GitHub, Experience with Power BI, Experience with Python, Experience with R, Experience with Claude Code, Experience with NetSuite, Experience with Shopify, Experience with Google Analytics, Experience with Segment, Experience with Klaviyo, Experience at DTC company, Experience at omni-channel retail company, Experience at apparel company, Experience at footwear company, Experience at outdoor company, Experience working in small data team, Experience working in solo data team

What You'll Do.

Partner with stakeholders

Translate questions into analyses

Write tests and documentation

Develop semantic context

Own metric definitions

Own business semantics

Drive alignment on definitions

Review AI-generated SQL

Harden AI-generated dbt models

Harden AI-generated Python code

Investigate data questions

Talk to source-system owners

Investigate edge cases

Reconcile conflicting definitions

Improve business model

Build data infrastructure

Maintain data infrastructure

Contribute to stack decisions

Improve data governance

Continuously develop skills

How You'll Work.

Team & Collaboration

Direct stakeholder partnership; Collaborative AI development; Cross-functional teams

Communication Scope

Present findings; Verbal presentation; Written presentation; Visual presentation

Full Job Description

**ABOUT US** Stio® is an omni-channel mountain brand that designs, develops and sells beautiful, functional, and innovative apparel, footwear and other accessories infused with the soul of the mountain lifestyle. With headquarters in Jackson, Wyoming, Stio draws inspiration from the surrounding Teton Range and offers product via Stio.com, catalog, B2B and its Mountain Studio® retail locations. We live and love mountain life, and as such see ourselves as caretakers of the resources that provide it. We are proud partners of Protect Our Winters and the Conservation Alliance among many other organizations. We have a strong preferred materials platform, use Bluesign® approved textiles wherever possible, audit our supply chains for best practices, and operate our workplaces responsibly. We think that outside is the best side and that you can’t improve on nature. It’s good for mind, body and soul, and it’s our responsibility to help enable access for all people, regardless of race, gender, beliefs, background or ability. We strive for inclusion at Stio and in our local and national communities. **YOUR ROLE** The Data Analyst is a key early member of Stio’s Data & Analytics team, working alongside the Director of Data & Analytics to expand how the business uses data to make decisions. This is a full-stack, horizontal role: the work spans data infrastructure (ingestion, modeling, transformation) through analysis, BI development, and direct stakeholder partnership across Finance, Merchandising, Marketing, Operations, Inventory Planning, and B2B. You’ll work where the highest-leverage problems are and grow the breadth and depth of the analytics function in the process. You’ll work in a stack built around Snowflake, Fivetran, dbt, Power BI, GitHub, and increasingly Python in addition to SQL and R. AI-assisted development is the default form factor for the team. Most of the code we ship is written collaboratively with AI agents in tools like Claude Code, then reviewed, tested, a

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