Location: Remote (LATAM)
Employment Type: Full-time - PST timezone
Contract Type: Contractor (Long-term)
Our client is a fast-growing U.S.-based company that owns and operates multiple pet product brands across Amazon and direct-to-consumer (Shopify) channels. With a strong presence in the U.S. market, the company is scaling rapidly, managing a complex multi-SKU, multi-brand portfolio in a highly competitive e-commerce environment.
Data plays a central role in how decisions are made, especially when it comes to pricing, growth efficiency, and long-term profitability.
This is a hands-on, SQL-driven e-commerce analytics role with a strong focus on revenue, unit economics, LTV, and profitability .
We are looking for a Senior Analyst who can independently analyze Amazon Seller Central and Shopify data, build robust profitability and LTV models, and diagnose performance drops without relying on predefined dashboards .
This role goes beyond reporting. You will act as an analytical owner of the business performance, partnering closely with leadership to identify root causes, quantify impact, and recommend corrective actions that directly influence revenue and margins.
We’re looking for a Senior E-commerce Data Analyst with strong, hands-on experience analyzing Amazon Seller Central and Shopify data to support revenue, profitability, and unit economics decisions.
This is a deep, SQL-driven analytics role , not a product, CRO, or customer success position. You will work directly with leadership and cross-functional teams to diagnose performance issues, build financial models, and provide clear, data-backed recommendations.
Join a performance-driven team managing multiple consumer brands in the pet products space
Direct exposure to leadership and high-impact decision-making
Fully remote, long-term contractor role
Own profitability, LTV, and unit economics insights in a data-first organization
Dashboard & Reporting
Deep-Dive Analytics & Insights
Perform hands-on, SQL-driven analysis of Amazon Seller Central and Shopify data
Independently diagnose performance drops across revenue, margin, subscriptions, and unit economics
Build profitability and LTV models by SKU, channel, and customer segment
Analyze Amazon marketplace performance , including fees, ads vs. organic impact, and contribution margin
Conduct subscription and retention analysis within Shopify/DTC environments
Deliver insights focused on revenue efficiency and profitability , beyond CRO or product optimization
Stakeholder Collaboration
Present insights and recommendations directly to leadership
Partner with growth, marketing, operations, and product teams to drive action
Support data-driven pricing, inventory, and subscription decisions
Set up automated reporting and baseline performance analysis
Analyze recent pricing changes and their impact on margins and velocity
Build an initial profitability and unit economics framework
Technical & Analytics
3+ years in a senior data or e-commerce analytics role
Strong SQL proficiency (joins, subqueries, window functions)
Experience analyzing large e-commerce datasets
E-commerce Domain Expertise
Strong, hands-on experience with Amazon Seller Central and Shopify analytics (mandatory)
Proven ability to build SQL-based profitability and LTV models
Experience independently investigating performance declines using raw data
Solid understanding of Amazon marketplace economics and Shopify/DTC models , ideally including subscriptions
Profiles primarily focused on Product Analytics, CRO, or Customer Success without deep e-commerce financial analysis will not be considered
Python or R for advanced analytics
Experience with BI tools (Triple Whale, Peel, Looker, Tableau)
Experience working with multi-brand e-commerce portfolios
