Senior Manager, Data Analytics

The posting, as Babylist wrote it

What the Role Is

As the Senior Manager of Data Analytics for Ecommerce, Health & Supply Chain, this role will be responsible for partnering with Health, Merchandising, Inventory Management, and Fulfillment teams. You will influence the company’s strategy and help the company grow through advanced business analytics that raise data fluency and sharpen how decisions are made. The successful leader must be ready to roll up their sleeves and dive into the data, systems, and models, while working collaboratively with the team ensuring you are able to effectively partner across the organization. This highly visible role will interact with the executive team as a thought partner to bring new insights and recommendations to the table.

Who You Are

• 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.
• Strong knowledge of data governance, data quality management, and data st

[…]
r career advancement

• We believe technology and data can solve hard problems
• We're committed to career progression and performance-based advancement

Benefits

• Company-paid medical, dental, and vision insurance
• Retirement savings plan with company matching and flexible spending accounts
• Generous paid parental leave and PTO
• Winter Wonder Week: the whole company takes a paid week off at the end of the year, whether or not you celebrate anything, so everyone's out at once and comes back refreshed
• Remote work stipend to set up your office
• Perks for physical, mental, and emotional health, parenting, childcare, and financial planning

Important Notices

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Interview Integrity. AI is part of how we work at Babylist. We expect you to use it too. Your application and interviews should still reflect you and your own thinking. We'll tell you when AI is encouraged. Misrepresentation at any stage may result in removal from consideration for this and future roles.

How We Review Applications We use AI throughout our hiring process to help review, screen, and assess applications. These tools support our team's review; they do not replace it, and every hiring decision is made by a person.

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