• Partner with business stakeholders to gather, clarify, and document reporting and analytics requirements. • Work closely with BI Developers, BI Architects, Data Architects, and Data Engineers to translate business needs into technical specifications. • Understand where data resides across source systems, data warehouses, semantic layers, and BI tools. • Analyze ETL/ELT processes, data flows, transformations, and dependencies to support BI solution design. • Document source-to-target mappings, business rules, metric definitions, filter logic, report logic, and reporting assumptions. • Create clear, development-ready user stories, tickets, acceptance criteria, and supporting documentation for technical teams. • Support backlog refinement, sprint planning, testing, and release coordination for BI and analytics work. • Validate reporting outputs against source data, business rules, requirements, and expected results. • Investigate data discrepancies, reporting defects, and gaps between business expectations and technical implementation. • Coordinate across BI, data architecture, data engineering, and business teams to resolve issues and drive delivery. • Support standardization of BI requirements, documentation practices, reusable reporting patterns, and intake processes. • Assist with user acceptance testing and production validation for new or enhanced dashboards, reports, datasets, and semantic models. • Communicate technical concepts clearly to non-technical stakeholders and communicate business context clearly to technical teams. • Identify opportunities to improve reporting processes, data usability, development handoffs, and operational efficiency.

• Gather and document functional and technical requirements • Coordinate with SMEs to understand data sources, business rules, data processes, and analytic needs • Conduct data validation, interpret outputs, and reconcile discrepancies with data engineers and dashboard developers • Support sprint planning, backlog development, requirement reviews, and cross‑team coordination • Support data modeling and dataset definition discussions • Support User Acceptance Testing (UAT) for new dashboard features and enhancements • Support the current projects by tracking relevant data and dashboard metrics, developing and updating reports, providing administrative and document related support • Coordinate across the project team and other internal stakeholders as well as with subcontractors as needed • Develop, propose, and implement solutions for material or logistics related issues to maintain program and project goals.

• Build, maintain, and govern payer and plan data across workflow and pricing systems. • Configure and manage submission addresses and methods. • Standardize payer and plan names, aliases, and identifiers. • Analyze and resolve routing exceptions and data discrepancies. • Audit payer master data to ensure accuracy, completeness, and integrity.

Role Description 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 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. The expectation is not that you arrive an expert in AI tooling, but that you bring strong fundamentals and a genuine curiosity about how this part of the craft is evolving. 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) and isn’t afraid to question the status quo. This is a remote role that is part of the Finance department and reports to the Director of Data & Analytics. 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. - Own end-to-end processes: scoping, building, validating, and communicating findings. - 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 used by the business. - Own metric definitions and business semantics; drive alignment when stakeholders disagree. - Review and harden AI-generated SQL, dbt models, and Python code. - Investigate ambiguous data questions by talking to source-system owners and reconciling conflicting definitions. - Help build and maintain Stio’s data infrastructure and contribute to decisions about stack evolution. - Improve data governance by creating useful documentation for 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, and 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. Preferred Additional Skills and Experience - Working knowledge of Python and/or R for analysis. - Experience with the components of our data stack (Snowflake, Fivetran, dbt, GitHub, Power BI, Python, R, Claude Code, Codex). - Experience with systems we use: NetSuite, Shopify, Google Analytics, Segment, Klaviyo. - Professional experience at a DTC or omni-channel retail, apparel, footwear, or outdoor company. - Experience working in a small or solo data team where you owned the work end-to-end. Requirements - Must be able to work in a stationary position 50% - 75% of the work day. 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. Compensation We provide competitive compensation packages, inclusive of base pay, incentives, and benefits. The base salary range for this role is $85,000-$100,000. Actual pay will be determined based on several factors including experience, skills, and qualifications.