Principal Data Analyst, Enterprise Data Solutions

📋 Description Own end-to-end definition of EDS data products (Search/Price/Inventory). Translate signals into clearly scoped data products with scope, depth, cadence, governance. Productionalize exportable datasets that are governed and SLA-aligned. Lead design sessions to define MVP scope and delivery (Snowflake share, SFTP, API). Define and document data dictionaries, schemas, and use-case framing. Prototype data assets via automated DBT transformations; collaborate with Eng on raw logs. 🎯 Requirements 6+ years in data analytics, data product mgmt, or analytics engineering. Experience taking data assets from concept to externally consumable product. Strong product instincts: scope, readiness criteria, and roadmaps. Deep SQL fluency; dbt, Snowflake, Looker/Omni experience. Cross-functional collaboration with Eng, Strategy, Legal, and GTM. Comfort with ambiguity; lead 0-to-1 initiatives. Gen AI experience to optimize workflows. Preferred: automotive/ marketplace / B2B SaaS data domains. 🎁 Benefits Equity for all employees and competitive total rewards. Hybrid work model and generous time off. Perks: daily lunch, car discount, meditation and fitness apps. Commuting cost coverage.