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Job Description
📋 Description Lead the development of scalable data products for Revenue. Turn ambiguous problems into scalable analytics solutions. Shape data layer direction, semantics, and governance. Build durable data products for revenue ops and reporting. Mentor analysts and cross-functional partners. Drive AI enablement within analytics workflows. 🎯 Requirements 7+ years in analytics engineering, BI, or data roles. Deep SQL, dbt, data modeling, metrics design. Experience with Sigma/Looker/Tableau, Snowflake, Databricks. Knowledge of semantic layers, metadata, QA, lineage, access controls. Ability to lead complex, ambiguous projects end-to-end. Experience designing scalable data products for multiple audiences. 🎁 Benefits Health coverage for you and dependents. Flexible Spending Wallets for tech and lifestyle needs. Generous time off and holidays. ESP P equity purchase plan.
