Data Analyst

E-commerce Sr Data Analyst Location: Remote (LATAM) Employment Type: Full-time Contract Type: Contractor (Long-term) About The Company Our client is a fast-growing U.S.-based startup that owns and operates multiple pet product brands under one umbrella. With a mission to bring innovation and joy to pet parents everywhere, their brands are scaling rapidly across Amazon, Shopify, and emerging social commerce channels, achieving strong month-over-month growth. This is a unique opportunity to join an ambitious team at a high-growth stage — where data-driven insights directly shape strategic decisions and fuel expansion in one of the most dynamic industries: the pet products e-commerce market. About The Role We’re looking for a Senior E-commerce Data Analyst to become the analytical backbone of the company designing robust reporting systems, uncovering key business insights, and providing actionable recommendations that will guide strategic decisions across product, pricing, and performance metrics. You’ll work directly with leadership and collaborate closely with growth, operations, and product teams to turn data into meaningful business impact. Why You’ll Love Working Here Join a performance-driven team managing multiple consumer brands in the booming pet industry 🐶 Collaborate cross-functionally and directly influence growth decisions across Amazon, Shopify, and more Be the go-to data expert in a company that truly values analytics-driven decision-making Lead strategic initiatives that directly impact profitability and scaling Key Responsibilities Dashboard & Reporting Development Design and automate weekly performance dashboards using BI tools and data platforms Standardize KPIs across Amazon and Shopify for consistent and scalable reporting Implement automated alert systems to detect unusual trends or performance fluctuations Deep-Dive Analytics & Insights Conduct price sensitivity and margin analyses across 50+ SKUs to guide pricing strategy Evaluate promotional and campaign effectiveness across organic and paid channels Execute attribution and cohort analyses to measure customer LTV and subscription behavior Segment performance by category, frequency, and other key product dimensions Cross-Functional Collaboration Present data-driven recommendations to leadership on a weekly basis Lead monthly performance review meetings across teams (growth, operations, product) Coach internal stakeholders on dashboard usage and data interpretation Partner with marketing and marketplace specialists to translate insights into actions Advanced Business Intelligence Monitor conversion trends, LTV, and retention across customer segments Track inventory velocity, identify slow-moving SKUs, and recommend promotional support Analyze COGS, shipping, and fulfillment data to optimize unit economics Build predictive models for demand forecasting, pricing, and inventory planning Multi-Brand Portfolio Analysis Compare brand performance across the company’s growing portfolio Identify cross-selling opportunities and customer overlap between brands Analyze seasonal trends and campaign performance by category and product type Qualifications Technical Skills 3+ years in a data analyst or insights role within e-commerce or consumer brands Advanced proficiency in SQL (JOINs, window functions, subqueries, aggregations) Strong experience with e-commerce analytics tools (Triple Whale, Peel, Looker, Tableau) Familiarity with Shopify and Amazon Seller Central APIs Ability to perform A/B testing, statistical significance analysis, and interpret results E-commerce Expertise Proven experience analyzing Amazon marketplace metrics (BSR, rankings, ad vs. organic) Knowledge of Shopify/DTC environments, especially subscription models Skilled at turning complex datasets into clear narratives for non-technical stakeholders Experience with multi-channel attribution modeling Nice to Have Knowledge of Python or R for statistical modeling Experience with data pipeline tools (Fivetran, Stitch, etc.) Background working across multiple brands or marketplaces Passion for pets or prior experience in the pet products industry Join the Pack 🐾 If you love diving into data, building systems from scratch, and turning insights into real business impact — while contributing to a company that’s redefining the pet e-commerce space — this role is for you. #J-18808-Ljbffr