We operate a rapidly growing multi-brand e-commerce portfolio in the pet products vertical, experiencing strong month-over-month growth across Amazon, Shopify, and emerging social commerce channels.
We're looking for a highly skilled Senior E-commerce Data Analyst to build robust reporting systems and conduct deep-dive analysis across our Amazon, Shopify and other marketplace sales channels.
In this role, you'll lead the development of automated dashboards, uncover insights to drive growth, and provide data-backed recommendations to improve performance across product, pricing, subscription, and channel metrics.
This is a high-impact position that reports directly to leadership and collaborates closely with our growth, product, and operations teams.
• Join a performance-driven team managing multiple consumer brands in the growing pet products market
• Collaborate cross-functionally and directly influence growth decisions across all channels
• Work remotely with flexibility and autonomy across global time zones
• Be the go-to insights expert in a data-hungry organization with significant growth trajectory
• Lead strategic initiatives that directly impact profitability and scaling decisions
• Build automated weekly performance dashboards using available BI tools and data platforms
• Standardize KPIs across Amazon and Shopify to enable consistent reporting
• Set up alert systems to flag unusual dips/spikes in key metrics
• Conduct price sensitivity analyses to optimize pricing strategies across 50+ SKUs, directly impacting margin and velocity decisions
• Evaluate promotional campaign impacts across organic and paid channels
• Perform attribution modeling to segment sales performance (organic vs.
paid)
• Execute cohort analyses to measure subscription behavior and LTV
• Segment product performance by category, size, frequency, and other variables
• Present weekly data insights and recommendations to leadership team
• Lead monthly business review meetings with cross-functional teams (growth, operations, product)
• Train team members on dashboard usage and self-service analytics
• Collaborate with marketplace specialists to translate data findings into actionable strategies
• Partner with marketing managers to optimize campaign performance based on attribution analysis
• Monitor conversion rate trends by SKU, size, and customer acquisition channel
• Track inventory velocity and identify slow-moving products requiring promotional support
• Analyze customer lifetime value and repeat purchase behavior across subscription vs.
one-time buyers
• Create cost analysis reports including COGS, shipping, and fulfillment expenses by channel
• Build competitive pricing intelligence and margin optimization models
• Develop predictive models for demand forecasting and inventory planning
• Build profitability tracking tools to monitor shipping costs, 3PL expenses, and overall unit economics
• Create brand performance comparisons across our pet product portfolio
• Identify cross-selling opportunities and customer overlap between brands
• Analyze seasonal trends and promotional effectiveness by brand and product category
• 3+ years of experience in a senior data analyst or insights-focused role
• Proficient in SQL including JOINs, subqueries, window functions, and data aggregation across large e-commerce datasets
• Experience writing complex queries for sales performance, inventory analysis, and customer segmentation
• Experience with e-commerce analytics platforms (Triple Whale, Peel preferred) or equivalent BI tools such as Looker or Tableau
• Familiarity with Amazon Seller Central and Shopify analytics APIs
• Experience conducting statistical analysis for A/B tests and significance testing
• Proven track record analyzing Amazon marketplace performance, including BSR, keyword rankings, and ad vs.
organic dynamics
• Experience in Shopify/DTC data environments, especially for subscription-based commerce
• Ability to interpret and communicate complex data to non-technical stakeholders
• Experience with attribution modeling in multi-channel eCommerce environments
• Python or R for statistical modeling or advanced analytics
• Familiarity with data pipeline tools (e.g., Fivetran, Stitch)
• Experience working across multiple eCommerce brands or marketplaces
• Pet products or consumer goods industry experience