Senior Revenue Analytics Manager

📋 Description \n \n Lead end-to-end first-order and new business analytics. \n Build AI tools and analytics for Field Ops using SQL, Python. \n Own projects from questions to data-driven recommendations. \n Collaborate with Sales, Operations, Finance, and Customer Success analytics. \n Ensure data quality; align Snowflake and dbt models. \n Deliver scalable dashboards and ad hoc analyses. \n \n 🎯 Requirements \n \n Background in sales analytics; interpret pipeline, quota, forecast accuracy. \n Proficiency with AI and BI tools; Tableau or similar BI platform. \n Strong SQL and Python for data wrangling; modern data warehouses. \n Analytic Engineering experience; know when to use view, table, or query. \n Project and stakeholder management; translate questions into analytical plans. \n Experience supporting sales or GTM teams (new business, pre-sales, marketing, or SMB). \n \n 🎁 Benefits \n \n Benefits to support health, finances, and well-being. \n Flexible PTO. \n Equity compensation and ESPP. \n Growth and Development Fund. \n Parental Leave. \n Team Member Resource Groups. \n