Senior E-commerce Revenue

hace 4 semanas


Quito Scale Up Recruiting Partners

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.

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.

About The Role

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.

What You'll Own

Revenue, 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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