• You'll be part of a small, cross-functional data team that drives impact across Fabulous. We work closely with Product Growth, User Acquisition, and Finance. • We take a **full stack approach**: every team member contributes across the full data spectrum. We don't specialize into Analytics Engineering or Data Science or Data Analysis. While we each have our own strengths, we contribute to projects across the entire spectrum of data work. This encourages strong ownership and drives impact. Practically, we work across three areas: - **Analytics Engineering**: Data modeling and transformations to build, maintain, and scale our analytics pipelines in **dbt**. Once an MVP is validated, we implement and improve it iteratively - with solid testing, data observability, and architecture that keeps tech debt manageable. - **Applied Analytics**: Data exploration, dashboard building in Omni, and ML model building. We aim for simplicity and interpretability but don't shy away from complexity when we face it. We work with highly data literate stakeholders - when building new models or dashboards we empower our users to continue to analyze the data themselves. **- Data Science: **ML model building to make predictions to inform the business quickly. • This role is critical to the team's continued success: - Diverse, high-impact projects. You'll work on business-critical problems in close collaboration with business teams — improving metric accuracy, exploring new growth perspectives, building well-tested reporting pipelines, investigating data discrepancies, or applying statistics and ML where they add real value. - Building and maintaining our codebase. You'll contribute to solid analytics pipelines using SQL and dbt. Managing tech debt, improving engineering practices, and shaping the project's architecture are core to this role. - Growing into ownership. Over time, you'll own parts of the codebase, become the go-to person for at least one business team, and have a strong voice in how the analytics project evolves. - Leveling up the team. Share knowledge, and contribute to practices that help everyone grow. Speak up - we want you to shape the team's direction, cohesion, and mission. - Working autonomously. You'll manage your own projects and stakeholders. Clear, concise documentation is expected so future collaborators can build on your work. • We embrace the age of AI. We use tools like Claude Code daily to write, review and ship code faster, while focusing our time on problem solving multiple projects in parallel. We are building out multiple entry points for our business stakeholders to interact with our data in natural language and believe this is the future of data work. • You'll report to the Data Lead and be part of the Engineering team.

• Own the end-to-end analysis of the customer journey • Manage customer analysis and segmentation • Develop sophisticated customer segments based on behavioral data • Maintain and expand BI platforms and dashboards • Design and automate dashboards that track marketing KPIs • Partner with cross-functional teams for actionable analysis and insights

• Serve as the subject matter expert for Digital Analytics, maintaining dashboards and performing deep-dive analysis on traffic patterns, user flow and campaign impacts • Analyze complex site journeys to understand how users move through the funnel. • Translate complex data sets into "so-what" insights for stakeholders in Marketing, Ecommerce, Product, and CX • Support A/B and multivariate testing programs by providing the ‘why’ behind the results • Work closely with developers and tagging teams to maintain accurate tagging and compliant tracking

• Build, automate and maintain dashboards across CX performance, domestic and international operations, logistics, and fulfillment cost performance. • Analyze fulfillment performance data across 3PLs (Flexport, Passport Global) and carriers to identify cost, efficiency, and quality trends for Supply Chain analytics. • Own the quality, accuracy, and consistency of all operational data across reporting systems. • Build and maintain dashboards for Customer Experience business function covering ticket volume, SLA performance, contact drivers, agent productivity etc.