Data Analyst

Stio

Job Overview

Location

Remote

Salary

USD 85,000 - 100,000 yearly

Employment Type

Full-time

Work Arrangement

Remote

Sector

Information Technology & Software

Experience Level

Mid-level (3-5 years)

Application Deadline

July 27, 2026

About the Company

Stio is an innovative omni-channel mountain brand headquartered in Jackson, Wyoming, deeply inspired by the surrounding Teton Range. The company designs, develops, and sells high-quality, functional, and stylish apparel, footwear, and accessories that embody the mountain lifestyle. Stio distributes its products through Stio.com, catalogs, B2B channels, and its Mountain Studio retail locations. Committed to environmental stewardship, Stio partners with organizations like Protect Our Winters and the Conservation Alliance. They prioritize preferred materials, utilize Bluesign® approved textiles, and audit supply chains for best practices, operating their workplaces responsibly. Stio believes in the restorative power of nature and strives for inclusion, ensuring access for all people regardless of background or ability, both within the company and in broader communities. They foster a culture rooted in natural connection and active balance, reflecting their dedication to mountain life.

Job Description

Stio is seeking a highly analytical and proactive Data Analyst to join our growing Data & Analytics team. This pivotal role involves expanding our data-driven decision-making capabilities across the organization.

As a full-stack, horizontal analyst, you will engage with data infrastructure, including ingestion, modeling, and transformation. Your responsibilities will extend to comprehensive analysis, business intelligence development, and direct collaboration with key stakeholders across Finance, Merchandising, Marketing, Operations, Inventory Planning, and B2B departments.

You will operate within a modern data stack featuring Snowflake, Fivetran, dbt, Power BI, and GitHub, with increasing reliance on Python, SQL, and R. Our team embraces AI-assisted development, utilizing tools like Claude Code for collaborative coding, review, and iteration. While expertise in AI tooling is not required, a strong foundation in data and modeling intuition is essential to ensure the accuracy and trustworthiness of AI-generated outputs.

We are looking for an individual who can connect data insights to broader business objectives and translate analysis into actionable strategies. The ideal candidate will possess a strong technical foundation, a keen eagerness to learn, sound judgment in ambiguous situations, and a genuine desire to drive positive progress within Stio.

This is a remote position, reporting to the Director of Data & Analytics within the Finance department.

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

Required Skills

SQLdbtCloud Data WarehousesGitGitHubBI Tools (Power BI, Tableau, Looker, Omni)AI-assisted DevelopmentData ModelingPythonRSnowflakeFivetranNetSuiteShopifyGoogle AnalyticsSegmentKlaviyo

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, including writing tests and documentation.
Develop and maintain the semantic context, dashboards, and reports used by the business for day-to-day operations.
Own metric definitions and business semantics, driving alignment when stakeholders disagree on definitions or numbers.
Review and harden AI-generated SQL, dbt models, and Python code, applying judgment to catch issues that pass tests but are semantically wrong.
Investigate ambiguous data questions by talking to source-system owners, investigating edge cases, reconciling conflicting definitions, and improving the business model.
Help build and maintain Stio’s data infrastructure (Snowflake, Fivetran, dbt, GitHub, Power BI, R, Python) and contribute to decisions about stack evolution.
Improve data governance by creating useful documentation that AI agents can consume as context for future work.
Continuously develop 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 proficiency, including CTEs, window functions, and comfort wrangling messy 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 normal workflow.
Experience as a developer with at least one BI tool (Power BI, Tableau, Looker, Omni, or similar).
A strong point of view on AI-assisted development for analytics work, understanding its strengths and weaknesses.
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 Stio's data stack components (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

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The data analytics landscape in the United States is rapidly evolving, with companies increasingly leveraging advanced tools for strategic decision-making. This role is crucial for an omni-channel mountain brand, focusing on expanding data utilization across various business functions. You will be instrumental in developing data infrastructure, performing complex data modeling, and driving BI development. Key technical aspects include Snowflake, dbt, Power BI, and Python, alongside AI-assisted development methodologies. This position directly impacts business ROI by transforming ambiguous questions into actionable insights, enhancing operational efficiency, and fostering data-driven growth across Finance, Marketing, and Operations. Your contributions will significantly shape the analytics function's breadth and depth.