Location:
Remote (LATAM)
Employment Type:
Full-time
Contract Type:
Contractor (Long-term)
About The Company
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.
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.
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.
What You'll OwnRevenue, Profitability & LTV Ownership
Build and maintain SKU-level profitability and contribution margin models
Develop LTV models by cohort, channel, and acquisition source
Analyze CAC, payback periods, and long-term profitability by channel
Identify margin erosion drivers across pricing, fees, ads, fulfillment, and logistics
Support pricing, discounting, and promotional decisions with data-backed insights
Amazon Seller Central & Shopify Deep Analysis
Perform hands-on analysis of Amazon Seller Central data (fees, ads, TACoS, organic vs paid performance)
Analyze Shopify/DTC performance including conversion, retention, and subscription behavior
Evaluate the impact of Amazon fees, FBA costs, returns, and storage on unit economics
Diagnose revenue, conversion, or margin drops across Amazon and Shopify independently
Advanced SQL & Data Analysis
Use SQL daily to extract, join, and analyze raw data from multiple sources
Design custom analyses rather than relying solely on existing dashboards
Identify anomalies, trends, and root causes in large e-commerce datasets
Translate complex findings into clear, actionable recommendations
Business & Leadership Collaboration
Present insights and recommendations directly to leadership
Partner with growth, marketing, and operations teams to turn analysis into action
Act as a thought partner on scaling decisions, budget allocation, and channel strategy
Qualifications
Required
4+ years in a hands-on e-commerce analytics role
Proven experience analyzing Amazon Seller Central and Shopify data
Strong, practical SQL experience (used for business-critical analysis)
Demonstrated experience building profitability, unit economics, and LTV models
Ability to independently diagnose and explain performance drops
Strong business mindset with the ability to connect data to revenue and margin impact
Nice to Have
Experience with BI tools (Looker, Tableau, Triple Whale, Peel, etc.)
Familiarity with data pipelines (Fivetran, Stitch, etc.)
Python or R for advanced analysis
Experience working with multi-brand or multi-SKU portfolios
Background in consumer goods or e-commerce brands
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