Data Analyst

Stio

Job Overview

Location

Remote

Salary

USD 85,000 - 100,000 yearly

Employment Type

Full-time

Work Arrangement

Remote

Sector

Data & Analytics

Experience Level

Mid-level (3-5 years)

Application Deadline

June 20, 2026

About the Company

Stio is an omni-channel mountain brand dedicated to designing, developing, and selling high-quality apparel, footwear, and accessories. Inspired by the soul of mountain living, the company is headquartered in Jackson, Wyoming, drawing inspiration from the Teton Range.

Stio offers its products through its website, catalog, B2B channels, and its Mountain Studio® retail locations. The company is deeply committed to environmental stewardship, partnering with organizations like Protect Our Winters and The Conservation Alliance. They prioritize sustainable materials, utilize Bluesign® approved textiles, audit their supply chains, and operate their workplaces responsibly.

Embracing the philosophy that "outside is the best side," Stio champions inclusivity and aims to enable access to outdoor activities for all individuals, regardless of background. They strive for diversity and inclusion within their company and in the communities they serve.

Job Description

Stio is seeking a talented Data Analyst to join their growing team. This is a remote position offering a significant opportunity to shape the company's data-driven decision-making processes.

In this role, you will be instrumental in expanding how the business leverages data. You will work across the entire data lifecycle, from infrastructure and modeling to analysis and business intelligence development. Your insights will directly support various departments, including Finance, Merchandising, Marketing, Operations, and Inventory Planning.

You will collaborate with a modern tech stack including Snowflake, Fivetran, dbt, Power BI, GitHub, SQL, R, and Python, with a strong emphasis on AI-assisted development. The ideal candidate will possess strong fundamental data and modeling intuition, coupled with a curiosity for evolving analytics practices.

This position requires a proactive individual who can connect data insights to actionable business strategies. You should be comfortable tackling pressing business problems with efficient analysis and possess a strong bias for driving positive progress within the organization.

To apply for this role, click the Apply button on this page and follow the instructions.

Required Skills

SQLdbtCloud Data WarehousingGitGitHubBusiness IntelligenceData AnalysisData ModelingStakeholder ManagementPower BI

Key Responsibilities

Partner directly with stakeholders across the business (Product Development, Marketing, DTC, B2B, Finance, Operations, Inventory Planning) to translate ambiguous questions into well-defined analyses, dashboards, and data products.
Build and maintain dbt models that turn raw source-system data into trustworthy, well-documented datasets.
Develop and maintain the semantic context, dashboards, and reports that the rest of the business uses to operate day-to-day.
Own metric definitions and business semantics, driving alignment when stakeholders disagree.
Review and harden AI-generated SQL, dbt models, and Python code with the judgment to catch issues that pass tests but are semantically wrong.
Investigate ambiguous data questions where the answer isn’t in the schema.
Help build and maintain Stio’s data infrastructure (Snowflake, Fivetran, dbt, GitHub, Power BI, R, and Python).
Improve data governance by creating documentation that is useful for both humans and AI agents.
Continuously develop your skills as the practice of data analytics evolves.

Qualifications

3+ years of professional experience as a data analyst, analytics engineer, or similar role
Advanced SQL: CTEs, window functions, comfortable wrangling messy real-world data
Hands-on experience with dbt, including writing models, tests, and documentation
Experience with cloud data warehouses (Snowflake, BigQuery, Databricks, Redshift, Microsoft Fabric, or similar)
Version control with Git/GitHub as part of your normal workflow
Experience as a developer with at least one BI tool (Power BI, Tableau, Looker, Omni, or similar)
A real point of view on AI-assisted development for analytics work
History of building collaborative, trusting relationships with non-technical stakeholders
Comfort presenting findings to leadership verbally, in writing, and visually
Working knowledge of Python and/or R for analysis (preferred)
Experience with the components of our data stack (Snowflake, Fivetran, dbt, GitHub, Power BI, Python, R, Claude Code, Codex) (preferred)
Experience with systems like NetSuite, Shopify, Google Analytics, Segment, Klaviyo (preferred)
Professional experience at a DTC or omni-channel retail, apparel, footwear, or outdoor company (preferred)
Experience working in a small or solo data team where you owned the work end-to-end (preferred)

Benefits & Perks

Medical, Dental Vision plans
Company Paid Long Term Disability
Employee Assistance Programs
401k with Match
Generous paid time off policies
Gear test, perks and more

How to Apply

To apply for this role, click the Apply button on this page and follow the instructions.

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The data analytics landscape is rapidly evolving, with a growing emphasis on leveraging advanced tools for strategic decision-making. This role is central to that evolution, focusing on data infrastructure, transformation, and analysis to drive business insights. Key technical areas include data warehousing, ETL processes, business intelligence development, and AI-assisted coding. The impact of this position extends to enhancing business ROI and scaling organizational growth through data-driven strategies, signaling a significant opportunity for leadership and influence within the analytics function.