Data Analyst
Build data models and dashboards to support cross-functional decision-making
As an early member of Stio's Data & Analytics team, you will work alongside the Director of Data & Analytics to expand how the business uses data. Your work spans data infrastructure, modeling, transformation, analysis, and BI development across Finance, Merchandising, Marketing, Operations, Inventory Planning, and B2B. You'll use Snowflake, Fivetran, dbt, Power BI, GitHub, Python, SQL, and R, with AI-assisted development as the default workflow.
Why This Role?
Help shape how the team works with AI-assisted development as an early member
Key Responsibilities
- Build and maintain data models in Snowflake using dbt
- Develop and update Power BI dashboards for stakeholders
- Ingest and transform data using Fivetran and SQL
- Collaborate with teams in Finance, Merchandising, and Marketing to define metrics
- Write and review code with AI tools like Claude Code
- Support data infrastructure and analytics workflows end-to-end
Requirements
- Strong fundamentals in data and modeling
- Experience with SQL and data transformation
- Experience with BI tools such as Power BI
- Experience with data warehousing platforms like Snowflake
- Experience with ETL tools such as Fivetran
- Experience with version control using GitHub
Required Skills
Indonesia Context
- Working Hours Overlap:
- Flexible — work your own hours
Keywords
View Original Description from RemoteOK
Original description from RemoteOK
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, and iterated. The expectation is not that you arrive an expert in AI tooling. The expectation is that you bring strong fundamentals — the kind of data and modeling intuition that lets you catch silently wrong AI output that runs cleanly and passes tests — and that you’re genuinely curious about how this part of the craft is evolving. As an early team member, you’ll help shape how we work in this environment, not just execute someone else’s playbook. We’re looking for an analyst who connects what they see in the data to the bigger picture and who has a strong bias for tying analysis to action. The right person doesn’t hesitate to sweep the floor (fix a broken Excel link), isn’t afraid to question the status quo (does this metric actually measure what it claims to?), and would rather quickly solve a pressing business problem with simple analysis than build a sophisticated model that collects dust. A foundation of technical skills is essential. Even more important is an eagerness to learn new things, sound judgment under ambiguity, and a desire to drive positive progress at Stio. This is a remote role that is part of the Finance department and reports to the Director of Data & Analytics. YOUR 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. You’ll own these end-to-end: scoping, building, validating, and communicating findings. Build and maintain dbt models that turn raw source-system data into trustworthy, well-documented datasets. Write the tests and documentation that let both humans and AI agents downstream rely on the work. 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. Drive alignment when stakeholders disagree on what a definition or number means. Review
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