Senior E-commerce Data Analyst

Job Title: Senior E-commerce Data Analyst Location: Remote — Latin AmericaType: Full-time, Independent ContractorWork Hours: 9 am to 5 pm U.S Pacific time (Flexible with core overlap hours) About The Company 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. About The Role 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. Why Work With Us? 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 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 High-Priority Projects (Initial 8-10 Weeks) Set up automated reporting for all platforms and perform comprehensive baseline analysis of current performance metrics Analyze impact of recent pricing changes on key SKUs and channels Evaluate shipping fee impacts on conversion rates (subscriptions vs. one-time purchases) Build initial profitability tracking framework Required Qualifications Technical Skills 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 E-commerce Domain Expertise 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 Nice to Have 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 #J-18808-Ljbffr