Stio
Apparel & Fashion
DataAnalyst
Neural analysis suggests this role is
optimal for Mid+ candidates.
“Data Analyst at Stio. Skills: Data analysis, Data modeling, BI development, Stakeholder management. Partner with stakeholders. Translate questions into analyses”
Industry & Context.
Translate ambiguous questions; Investigate ambiguous data questions; Catch silently wrong AI output; Catch issues that pass tests
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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