Senior Data Analyst developing Power BI dashboards and governed data solutions for Michelin’s Beyond - Road mobility business. Supporting global teams with reporting, analytics, and data - driven decisions.
About the role
- Senior Manager leading AI-native analytics across Babylist’s e-commerce, health, and supply chain businesses. Managing analysts while shaping data strategy, KPIs, and self-serve analytics.
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 the executive team
- Define and steward KPI and reporting standards
- Advance the AI-native analytics roadmap and self-serve data tools
- Champion AI-forward analytics practices across the team
- Build a culture of Data Analytics excellence and strategic partnership
- Deliver accurate and timely analysis, insights, and recommendations
- Translate business priorities into a prioritized analytics roadmap and make tradeoff recommendations
Requirements
- Deep eCommerce or retail analytics experience
- Fluency in inventory, order economics, pricing, fulfillment, and supply chain KPIs
- Proven ability to balance people management with hands-on individual-contributor work
- Experience managing experienced analysts
- Experience partnering with VP+ stakeholders and executive teams
- Hands-on experience with AI-native analytics, including semantic layers, context layers, or 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 manager level
- Regular use and curiosity about AI tools
- Strong ownership, intellectual curiosity, creative and critical thinking, and ability to manage multiple priorities
- High attention to detail and ability to evaluate analyses within 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
- 20% target bonus
- Competitive equity
- 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
- Competitive pay and meaningful opportunities for career advancement
- Career progression and performance-based advancement
- Twice-yearly company gatherings
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