- خبرة
- 3+ yrs
- مرتب
- USD 85,000 – USD 100,000 / year
- الوظائف الشاغرة
- 1
- تم النشر
- • 3 أفراد
المسمى الوظيفي
About the Company
Stio is an omni-channel mountain apparel brand that creates functional, high-quality clothing, footwear, and accessories inspired by life in the mountains. Based in Jackson, Wyoming, the company sells through its website, catalog, business-to-business partnerships, and retail Mountain Studio locations. Stio emphasizes sustainability, ethical sourcing, and responsible operations, working with groups such as Protect Our Winters and the Conservation Alliance while using Bluesign-approved materials and auditing its supply chain for standards compliance. The brand also promotes access and inclusion in outdoor recreation for people of every race, gender, background, and ability.
About the Role
The Data Analyst will join the Data & Analytics team and partner closely with the Director of Data & Analytics to improve how the organization uses data to make decisions. This is a broad, hands-on role covering data infrastructure, modeling, transformation, analysis, and business intelligence. You will work across Finance, Merchandising, Marketing, Operations, Inventory Planning, and B2B to uncover opportunities and turn data into practical insight. The role uses modern tools such as Snowflake, Fivetran, dbt, Power BI, GitHub, and Python, with a strong emphasis on AI-assisted development. This is a remote position within the Finance department and is part of an early team helping define Stio’s data culture, standards, and best practices.
Responsibilities
- Work with teams across the business to turn broad questions into clear analyses, dashboards, and data products.
- Take ownership of building, testing, and validating dbt models while maintaining strong data quality and trustworthiness.
- Create and support dashboards, reports, and semantic models that are used in day-to-day operations.
- Establish and maintain business metrics and definitions so stakeholders stay aligned.
- Review AI-generated SQL, Python, and dbt output carefully to identify logic issues and confirm accuracy.
- Dig into complicated data issues by coordinating with source-system owners, studying edge cases, and resolving mismatched definitions.
- Help improve the company’s data stack, including Snowflake, Fivetran, dbt, Python, and related tools.
- Strengthen governance by writing clear documentation and adding context that helps AI tools work effectively.
- Keep building technical expertise and stay current on modern data analytics and AI practices.
Requirements
- At least 3 years of professional experience in data analysis, analytics engineering, or a closely related role.
- Strong SQL skills, including CTEs, window functions, and working with complex datasets.
- Practical experience with dbt, including model development, testing, and documentation.
- Experience using cloud data warehouses such as Snowflake, BigQuery, Redshift, or similar platforms.
- Comfort with Git and GitHub for version control.
- Experience with BI tools such as Power BI, Tableau, Looker, or comparable platforms.
- Awareness of AI-assisted development methods and how to use them responsibly to produce reliable output.
- Strong people skills and the ability to collaborate well with non-technical stakeholders.
- Excellent communication skills for presenting findings in spoken, visual, and written formats.
Benefits
- Medical, dental, and vision insurance coverage.
- Employer-paid long-term disability coverage.
- Employee assistance programs.
- 401(k) plan with company matching.
- Generous paid time off to support work-life balance.
- Gear testing opportunities, employee perks, and discounts.
- Competitive pay in the range of $85,000 to $100,000, depending on experience and skills.
Equal Opportunity
Stio is committed to equal employment opportunity and an inclusive workplace. The company welcomes applicants regardless of race, gender, age, religion, national origin, sexual orientation, veteran status, disability, or any other protected characteristic. Stio values diversity as a driver of innovation and aims to create an environment where everyone can thrive.