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.