Senior Manager, Data Analytics

Posted 1 day ago

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

📋 Description

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

• Shape company strategy through sophisticated business analytics.

• Lead 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 analysis in eCommerce, supply chain, and health sectors.

• Directly engage with senior leadership and regularly interact with the executive team.

• Establish and uphold standards for KPIs and reporting.

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

• Set benchmarks for robust, AI-enhanced analytics work and encourage knowledge sharing.

• Foster a Data Analytics culture recognized as a strategic partner among various functional groups.

• Provide precise and timely analysis, insights, and recommendations that drive enhancements and influence leadership decisions.

• Convert business priorities into a prioritized analytics roadmap and offer tradeoff suggestions.


⛳️ Requirements

• Extensive experience in eCommerce or retail analytics.

• Proficient understanding of core KPIs related to inventory, order economics, pricing, fulfillment, and supply chain cost efficiency.

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

• Proven experience managing seasoned analysts.

• Experience collaborating with VP-level stakeholders and senior business leaders.

• Practical experience with or a genuine interest in AI-native analytics infrastructure, including semantic layers, context layers, and AI-connected reporting.

• Over 8 years of experience, ideally within a data role at a rapidly growing consumer technology or e-commerce organization.

• At least 5 years of experience in a managerial capacity.

• Previous utilization of AI in professional contexts and eagerness to explore emerging AI capabilities.

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

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

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

• Solid understanding of data governance, data quality management, and principles of data strategy.


🏝️ Benefits

• Competitive salary and significant opportunities for career growth.

• Career advancement based on performance and progression.

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

• Retirement savings plan with company contribution matching.

• Flexible spending accounts available.

• Generous paid parental leave and paid time off (PTO).

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

• Remote work stipend to establish your office environment.

• Benefits focused on physical, mental, and emotional well-being, parenting, childcare, and financial planning.

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

• Biannual company gatherings.

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