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The Senior Data Analyst, E-Commerce will provide strategic insights and analysis focused on Babylist's e-commerce operations, merchandising, and pricing strategies. You will be responsible for building and maintaining critical reporting infrastructure, conducting deep-dive analyses and simulations on sales performance, margin optimization, and category growth opportunities. Reporting to the Senior Manager of Data Science, you will partner closely with merchandising, finance, e-commerce and registry teams to drive data-informed decisions that directly impact revenue growth and market positioning. This role offers a unique opportunity to shape our pricing strategy from the ground up and influence our assortment planning across good-better-best market segments.
Job Responsibility:
Own and evolve the entire e-commerce reporting suite, including dashboards for net sales, margin analysis, and performance metrics across divisions, brands, categories, and SKUs
Lead the exploration and development of Babylist's pricing strategy for 2026, including research into pricing tools, competitive analysis, and recommendation of strategic direction
Partner with the Senior Financial Analyst to conduct impact analysis and opportunity sizing for new initiatives, particularly in growth categories and subscription programs
Analyze registry penetration data to identify category growth opportunities and inform merchandising strategies
Support good-better-best assortment planning initiatives by providing granular analysis on pricing segments and market positioning
Develop sophisticated simulations and models to evaluate pricing scenarios and promotional strategies
Leverage competitive pricing data from registry sources to inform market positioning and pricing decisions
Create actionable insights from complex analyses to drive category-specific growth initiatives
Build frameworks for evaluating and tracking new e-commerce initiatives from inception through implementation
Requirements:
6+ years of experience in e-commerce analytics, with strong expertise in merchandising metrics, sales analysis, and margin reporting
Deep understanding of e-commerce KPIs including sales performance by SKU/brand/vendor, promotional effectiveness, and pricing dynamics
Experience with pricing analysis and strategy development, including competitive positioning and price elasticity modeling
Proven track record of building and maintaining dashboards and reporting
Strong SQL skills with ability to work with complex data structures and large datasets
Exceptional problem-solving abilities with experience in opportunity sizing and impact analysis
Strong communication skills with ability to partner effectively with both technical and non-technical stakeholders
Nice to have:
Experience with DBT, Snowflake and advanced Python techniques is a strong plus
Experience with SKU rationalization, assortment planning, or category management is highly desirable
Demonstrated enthusiasm for leveraging AI and innovative analytical approaches
You're comfortable and enthusiastic about working in an AI-forward environment where AI tools are part of daily operations
What we offer:
Company-paid medical, dental, and vision insurance
Retirement savings plan with company matching and flexible spending accounts
Generous paid parental leave and PTO
Remote work stipend to set up your office
Perks for physical, mental, and emotional health, parenting, childcare, and financial planning
Competitive salary with equity and bonus opportunities
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