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.

• Manage and implement global digital products and solutions in the HSE (Health, Safety & Environment), Risk Management and OPEX markets. • Identify opportunities to automate and standardize processes, using AI and automation as disruptive accelerators. • Collaborate with cross-functional, geographically distributed teams. • Prepare documentation, reports and client presentations. • Provide product configuration training and delivery support to global team members. • Interact directly with clients to ensure best practices in management and deployment. • Apply strong attention to detail and data storytelling skills to communicate insights effectively. • Stay current with technology trends and demonstrate adaptability in a dynamic environment. • Work with Agile methodologies and SQUADs. • Perform unit testing and quality assurance for products and projects. • Lead by example and support ongoing process and technology improvement initiatives.

• Work closely with product managers, business, development and data engineering teams to guide the sales, marketing and growth team in problem discoveries, monitor and give visibility of product metrics and KPIs. • Translate product and business questions into analysis and actionable insights. • Develop and maintain scalable and self-service visualization tools and dashboards. • Own end-to-end everything analytics related to Marketing and Growth Product: products development cycle, from data requirement gathering and opportunity sizing, to experimentation and post-launch impact analyses. • Build robust relationships with stakeholders acting as a strategic and supportive link between the technology, business, and product. • Apply various advanced mathematical and statistical modeling techniques and analyses (A/B test, multivariate test, clustering, supervised learning, etc) to solve for product and business problems that drive the highest impact.

Title: Revenue Accounting Data Analyst (Remote) Location: San Francisco United States Job Description: About This Role This role is accountable for data validation, analysis, and reconciliation of Accounts Receivable (AR) and Deferred Revenue within a complex, data-driven environment. The consultant will use Databricks, SQL, and BI tools to ensure reliability of revenue data flowing from multiple platforms (Salesforce, Stripe, Oracle FAH). The role also supports audit readiness and financial disclosures for SaaS and consumption-based revenue streams. The consultant will: - Reconcile contracted revenue (Salesforce) with actual billings and receipts (Stripe). - Validate and analyze data in Databricks that brings these sources together for financial reporting and ASC 606 compliance. What that entails: writing SQL queries in Databricks to join Salesforce objects with Stripe transactions to verify: - Customer IDs match. - Usage data aligns with billing events. - Deferred vs. recognized revenue is accurate. Remote / Payrate range $70-80/hr. depending on experience Duration of Project: 3-6 months What You Will Work On Key Responsibilities: - Data Validation & Reconciliation: - Validate and reconcile AR and Deferred Revenue datasets using Databricks to process and query large transactional data. - Investigate data discrepancies leveraging BI tools and SQL queries. - Revenue & Insights: - Use Databricks notebooks to perform advanced data transformations and generate insights on AR sources and revenue streams. - SQL Development: - Build and optimize SQL queries (supported by AI tools like Claude Code / CodeX) for deep-dive analysis of revenue datasets. - Audit & Compliance Support: - Collaborate with Accounting and auditors, preparing PBC lists, footnote tie-outs, and evidence packages, ensuring compliance with ASC 606. - Process Enablement: - Develop repeatable workflows in Databricks for ongoing data validation and reporting. What You Will Bring Required Skills & Experience: Technical Competencies: - Advanced Databricks platform experience - SQL skills for data mining and reconciliation - Knowledge of BI tools for data validation and visualization. Systems: - Experience with Salesforce is strongly preferred. - ERP Oracle FAH/AR and Stripe data integrations is a plus. Accounting Expertise: - Solid understanding of SaaS and consumption-based revenue and related accounting processes is needed. Soft Skills: - Ability to work independently in a fast-paced, cross-functional environment. - Strong communication and documentation skills for auditor interactions. What You Can Expect - An inspirational place for you to do your best work, be engaged in meaningful ways, and continually develop the skills, competencies and qualities that set our team apart. - Compensation commensurate with your qualifications, experience, and other factors including geographic location, market and operational factors. - Total Rewards include: Medical, Dental, Vision, Life Insurance, Disability Insurance, 401(k) Savings Plan, Employee Stock Purchase Plan, Professional Development Program, Paid Time Off and Paid Sick Time (in geographies where legally required). What We Do At RGP, we're creating a future where businesses produce their best work without constraints. We've built a global network of over 2,600 experts across four regions, providing a comprehensive suite of solutions across on-demand talent, next-generation consulting, and outsourced services to support organizations at every stage of their growth journey. Trusted by Fortune 100 companies and emerging disruptors alike, we challenge conventional ways of working, drive growth, and pave the way for long-term success through bold innovation and fearless collaboration. Our values guide everything we do and strengthen our commitment to people. By combining smart processes, human-centered design, and advanced technology, we celebrate our team's excellence and ensure we grow together. We believe in the power of continuous learning and development to drive both individual and organizational success. It's time to rethink how work gets done. Dare to Work Differently with RGP. RGP is proud to be an Equal Opportunity Employer and committed to creating an inclusive environment for all employees. We do not discriminate on the basis of race, color, religion, national origin, gender, pregnancy, sexual orientation, gender identity, age, physical or mental disability, genetic information, veteran status, or any other legally protected trait and encourage all applicants to apply.