Senior E-commerce Data Analyst

Key Responsibilities

Dashboard & Reporting Development

• 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

Deep-Dive Analytics & Insights

• 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

Stakeholder Collaboration & Leadership

• 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

Advanced Business Intelligence

• 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

Multi-Brand Portfolio Analysis

• 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