Senior Manager, Data Analytics
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Job Description
Senior Data Analytics Manager leading five analysts and data scientists at Babylist. Scaling AI-native analytics across eCommerce, health, and supply chain.
Responsibilities:
- Partner with Health, Merchandising, Inventory Management, and Fulfillment teams
- Influence company strategy through advanced business analytics
- Lead and develop 5 experienced analysts and data scientists through prioritization, coaching, quarterly goal-setting, and stakeholder handoffs
- Own actionable analysis across eCommerce, supply chain, and health
- Partner directly with senior leaders and regularly engage with the executive team
- Define and steward KPI and reporting standards
- Advance the AI-native analytics roadmap and self-serve data tools
- Establish standards for strong, AI-forward analytics work and promote knowledge sharing
- Build a Data Analytics culture recognized as a strategic partner across functional groups
- Deliver accurate, timely analysis, insights, and recommendations that drive improvements and influence leaders
- Translate business priorities into a prioritized analytics roadmap and make tradeoff recommendations
Requirements:
- Deep eCommerce or retail analytics experience
- Fluency in core KPIs for inventory, order economics, pricing, fulfillment, and supply chain cost and efficiency
- Proven ability to balance people management with hands-on individual-contributor work
- Experience managing experienced analysts
- Experience partnering with VP+ stakeholders and senior business leaders
- Hands-on experience with or genuine curiosity about AI-native analytics infrastructure, including semantic layers, context layers, and AI-connected reporting
- 8+ years of experience, ideally in a data role at a high-growth consumer technology or e-commerce company
- 5+ years of experience at a manager level
- Existing use of AI in professional work and curiosity about emerging AI capabilities
- Strong ownership, intellectual curiosity, creative and critical thinking, and ability to manage multiple priorities
- High attention to detail and ability to evaluate analyses in strategic business context
- Extensive experience in data analytics, big data technologies, and statistical modeling
- Strong knowledge of data governance, data quality management, and data strategy principles
Benefits:
- Competitive pay and meaningful opportunities for career advancement
- Career progression and performance-based advancement
- Company-paid medical, dental, and vision insurance
- Retirement savings plan with company matching
- 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
- Remote work stipend to set up your office
- Perks for physical, mental, and emotional health, parenting, childcare, and financial planning
- Leading tools like Claude and ChatGPT from day one
- Twice-yearly company gatherings
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