Data Analyst

🕒 July 10

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Logo of Stio

Stio

51 - 200 employees

Founded 2011

👥 B2C

👗 Fashion

🛒 Retail

B2C • Fashion • Retail

Stio is a brand that designs and sells high-performance outdoor apparel for men, women, and kids. Founded by Stephen Sullivan, the company offers a wide range of clothing, footwear, and accessories suitable for various outdoor activities such as skiing, snowboarding, hiking, running, biking, fishing, and paddling. Based in the mountains, their collections focus on both functionality and style, catering to lifestyle needs and challenging outdoor environments. Stio also engages in collaborative projects with other brands and prioritizes environmental stewardship and the renewal of used apparel through its Stio Second Turn initiative.

📋 Description

• Partner directly with stakeholders across the business 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 • 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 • Improve data governance for both the Data & Analytics team and the business at large by creating documentation that’s actually useful • Continuously develop your skills as the practice of data analytics evolves

🎯 Requirements

• 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, can read and reason about query plans well enough to know when something is off • 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

🏖️ Benefits

• 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

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