Senior Manager, Data Analytics

Babylist

. Partner with Health, Merchandising, Inventory Management, and Fulfillment teams .

Posted 11/3/2026full-timeRemote • Canada, United StatesSeniorWebsite

Core Competencies

Role fit

Core Competencies

Use this summary to align your resume positioning with the role.

Demonstrates expertise in eCommerce and retail analytics, with a strong focus on KPI management, data governance, and AI-native analytics infrastructure. Proven ability to lead teams, influence strategy, and deliver actionable insights that drive business improvements.

Highest-signal resume keywords

ECommerce Analytics ExperienceData Governance PrinciplesAI-Native Analytics InfrastructurePeople Management SkillsKPI Management

ATS Keywords

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Applicant Tracking System Keywords

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Hard Skills

Data AnalyticsStatistical ModelingBig Data TechnologiesKPI DefinitionData Quality Management

Soft Skills

Intellectual CuriosityCreative ThinkingCritical ThinkingAttention to DetailStakeholder Engagement

Tools & Technologies

AI-Connected ReportingSemantic LayersContext Layers

Industry Keywords

Supply ChainInventory ManagementFulfillmentRetail AnalyticsConsumer Technology

About the role

Key responsibilities & impact

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

What you’ll need

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

Comp & perks

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