Founded in 2017 and headquartered in Gardena, California, Ruggable is the first patented machine-washable rug that combines beauty and utility to bring comfort and style to your home.

Ruggable is a leading direct-to-consumer e-commerce brand based in Los Angeles, California with an extraordinary track record of high, profitable growth. We pride ourselves on having an extremely loyal customer base and a talented team made up of genuinely caring people who take action and deliver results. We are venture-backed and own a patented washable rug design that's disrupting the home décor industry. Our mission is to empower our customers to live vibrantly with beautiful products that don't compromise on function. If you're passionate about consumer products, e-commerce, and high-growth start-ups, keep reading! We are seeking a highly technical, execution-oriented BI Engineer. Reporting to the Director of Reporting, Analytics & Insights, your primary mission is to accelerate the build-out of our reporting suite within Sigma. You will act as the technical engine supporting four key pillars of the business: Operations, eCommerce, Paid Media, and Retention. You will be responsible for transforming raw data into high-performance, intuitive dashboards that provide our leadership team with real-time visibility and actionable insights.

Cross-Functional Reporting Build-out Lead the development of Sigma dashboards across several critical workstreams: •eCommerce: Build site performance dashboards to deep dive into user journeys and conversion triggers. •Paid Media: Develop ROAS and attribution trackers to evaluate spend eiciency across social, search, and video channels. •Retention: Create customer dashboards to monitor purchase behavior and Email/SMS dashboards to evaluate channel performance •Operations: Build visibility into supply chain eiciency, fulfillment timelines, and inventory health. •Sigma Optimization: Ensure workbooks are curated following data best practices. Work with data engineering to ensure appropriate data products exist to meet use cases. •Data Validation: Perform rigorous data audits to ensure parity between Sigma, our data warehouse, and source systems (Shopify, GA4, Netsuite, RugZone, etc.). Stakeholder Enablement: Build "self-serve" functionality within Sigma to empower teams to independently navigate and leverage.

•Sigma Mastery: Expert-level proficiency in Sigma Computing (or comparable BI tools like Looker/Power BI). You are comfortable with advanced workbook features, input tables, and complex joins within the UI. •Advanced SQL: Expert SQL skills; you write clean, modular, and efficient code to manipulate large datasets and optimize query performance. •Domain Expertise: Familiarity with metrics across the E-com and product manufacturing lifecycle (e.g., ROAS, CAC, Fulfillment Lead Times, Churn Rate, AOV, COGS). •Analytical Speed: The ability to work in a high-growth "sprint" environment, delivering high-quality, production-ready assets on a compressed 8-week timeline. •Obsessive Detail Orientation: A rigorous QA process; you are the person who catches the "broken formula, the data discrepancy, or the filter logic error before a dashboard is ever presented to leadership. •Data Governance & Documentation: A disciplined approach to data best practices. You don't just build; you document. This includes maintaining data dictionaries, ensuring consistent naming conventions, and creating "source of truth" definitions that align across all departments. Preferred •Modern Data Stack: Experience with Snowflake as the underlying data warehouse. •Candidates in Pacific, Central, or Mountain tme zones