Senior Manager, Data Analytics

Required

• Deep eCommerce or retail analytics experience - fluent in the core KPIs for inventory, order economics, pricing, and fulfillment/supply chain cost and efficiency (AOV, unit economics, instock rates, meat beat scores, fulfillment CPUs), and you apply proven industry practice rather than rebuilding it from scratch
• Proven at balancing people management with hands-on IC work - you can point to analysis you've owned yourself while leading a team, not just work you've coordinated
• Experienced managing experienced analysts - you bring structure and clear prioritization to a team that already executes well, so they're always on the highest-impact work
• Confident partnering with VP+ stakeholders - you've built real relationships with senior business leaders and shape priorities with them proactively, front and center with executives
• Hands-on with AI-native analytics - you've built or are genuinely curious about self-serve analytics infrastructure (semantic layers, context layers, AI-connected reporting), not just traditional dashboards
• Engaged in what we're building - you ask why before how, challenge assumptions, and contribute to direction instead of delivering dashboards in isolation
• Prioritizes progress over perfection - you scale rigor to what's at stake and ship a strong, decision-ready answer on time rather than over-polishing
• 8+ years of experience, ideally with experience in a Data role in a high growth consumer technology or e-commerce company; 5+ years of experience at a manager level
• You naturally reach for AI in your work - at Babylist, every team uses AI daily. You're already using it to move faster and improve your output, and you stay curious about what's coming next.
• Strong sense of ownership, intellectual curiosity and an ability to think creatively and critically and thrive in a fast-paced, dynamic environment and manage multiple priorities
• High attention to detail but an equally important ability to see the big picture and evaluate analyses with strategic business context
• Extensive experience in data analytics, big data technologies, and statistical modeling to drive business insights.