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Senior Data Analyst

Uruguay
Full Remote
This Job is No Longer Active This position is no longer accepting applications

We are seeking a highly analytical, business-oriented, and technically strong Senior Data Analyst to support data-driven decision-making across a fast-growing e-commerce subscription business. The ideal candidate has strong experience within e-commerce environments, particularly subscription-based business models, and is comfortable working cross-functionally with Product, Marketing, Merchandising, and Engineering teams. This role is ideal for someone who thrives at the intersection of analytics, experimentation, business strategy, and data storytelling.

Key Highlights
Support data-driven decision-making across a fast-growing e-commerce subscription business
Work cross-functionally with Product, Marketing, Merchandising, and Engineering teams
Play a key role in shaping growth, retention, acquisition, personalization, and customer experience strategies
Key Responsibilities
Build and maintain dashboards, reports, and ad hoc analyses
Deliver actionable insights to support business growth and customer experience optimization
Analyze customer behavior, subscription performance, retention trends, and acquisition funnels
Technical Skills Required
Tableau Snowflake SQL Python R
Benefits & Perks
$3,000 – $4,500 USD/month
Fully remote opportunity within a fast-growing e-commerce environment
Exposure to advanced analytics, experimentation, and personalization initiatives
Nice to Have
Machine learning
Predictive analytics
Advanced experimentation frameworks

Job Description

Senior Data Analyst Remote — Uruguay Full-Time Retail & E-commerce $3,000 – $4,500 USD/month Must be available during PST working hoursWe are seeking a highly analytical, business-oriented, and technically strong to support data-driven decision-making across a fast-growing e-commerce subscription business.This role is ideal for someone who thrives at the intersection of analytics, experimentation, business strategy, and data storytelling. The ideal candidate has strong experience within e-commerce environments, particularly subscription-based business models, and is comfortable working cross-functionally with Product, Marketing, Merchandising, and Engineering teams.
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