Senior Manager, Data Analytics

This is a fully remote position, open to applicants in United States, +1 more country.

📋 Description

• Collaborate with Health, Merchandising, Inventory Management, and Fulfillment teams.

• Shape company strategy through sophisticated business analytics.

• Guide and mentor a team of 5 skilled analysts and data scientists by prioritizing tasks, providing coaching, setting quarterly goals, and managing stakeholder transitions.

• Take ownership of actionable analyses across eCommerce, supply chain, and health sectors.

• Work directly with senior leadership and the executive team.

• Establish and maintain standards for KPI and reporting.

• Propel the AI-native analytics roadmap and self-service data tools.

• Advocate for AI-driven analytics practices within the team.

• Foster a culture of excellence in Data Analytics and strategic collaboration.

• Provide precise and timely analyses, insights, and recommendations.

• Convert business objectives into a prioritized analytics roadmap and offer tradeoff recommendations.

⛳️ Requirements

• Extensive experience in eCommerce or retail analytics.

• Proficient understanding of inventory, order economics, pricing, fulfillment, and supply chain KPIs.

• Demonstrated ability to balance team management with hands-on individual contributor tasks.

• Experience leading skilled analysts.

• Proven track record of partnering with VP+ stakeholders and executive teams.

• Practical experience with AI-native analytics, including semantic layers, context layers, or AI-integrated reporting.

• 8+ years of experience, preferably in a data role within a high-growth consumer technology or e-commerce environment.

• 5+ years of experience in a managerial position.

• Regular engagement with and curiosity about AI tools.

• Strong sense of ownership, intellectual curiosity, creative and critical thinking, along with the ability to juggle multiple priorities.

• Exceptional attention to detail and the capability to assess analyses within a strategic business framework.

• Extensive background in data analytics, big data technologies, and statistical modeling.

• In-depth knowledge of data governance, data quality management, and data strategy principles.

🏝️ Benefits

• 20% target bonus.

• Competitive equity options.

• Company-sponsored medical, dental, and vision insurance.

• Retirement savings plan with company matching contributions.

• Flexible spending accounts.

• Generous paid parental leave and PTO.

• Winter Wonder Week: a paid week off for the entire company at year's end.

• Remote work stipend to help set up your home office.

• Benefits for physical, mental, and emotional health, parenting, childcare, and financial planning.

• Access to leading tools like Claude and ChatGPT from day one.

• Competitive salary with significant opportunities for career growth.

• Career advancement based on performance and progression opportunities.

• Biannual company gatherings.