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Operations Analyst

Job not on LinkedIn

🔥 0 minutes ago

🇺🇸 United States – Remote

⏳ Contract/Temporary

🟢 Junior

🟡 Mid-level

⚙️ Operations

🚫👨‍🎓 No degree required

🗣️🇪🇸 Spanish Required

Where this job comes from

Posted on Tiendamia's careers page, not through a job board

First seen by Remote Rocketship 0 minutes ago

Logo of Tiendamia

Tiendamia

201 - 500 employees

📦 Logistics

📣 Marketing

🛍️ eCommerce

Logistics • Marketing • eCommerce

Tiendamia is a company that operates in multiple Latin American countries, including Argentina, Brazil, Costa Rica, Ecuador, Peru, and Uruguay. As suggested by the presence in these countries, Tiendamia likely involves activities related to cross-border retail or e-commerce, providing shopping solutions to its customers.

📋 Description

• Map operational processes and identify automation opportunities across order management, procurement, logistics, and CX • Build and maintain automated workflows using AI tools and integrations • Query operational databases to produce analysis that drives decisions, not just reports • Design and monitor KPIs for each operational phase; build alerts before humans notice the problem • Collaborate with the tech team to embed automations into production systems

🎯 Requirements

• 2–5 years in operations, e-commerce, logistics, or a data-adjacent role • Strong SQL skills — joins, aggregations, time windows on large datasets • Practical AI experience — real automations built with LLMs or AI tools • Database fundamentals — relational model, schema design, query performance • Fluent in English and Spanish • Cross-border e-commerce or B2C marketplace experience (Amazon, Mercado Libre) preferred • Data pipeline / ETL experience nice to have • BI tools (Redash, Metabase, Grafana) nice to have • Exposure to Logistic / Marketplace management systems like OMS-TMS-WMS-PMS nice to have • Engineering or quantitative background (CS, Industrial Eng., Systems Eng.) preferred

🏖️ Benefits

• Direct access to operational data (full read on our data warehouse) • A team actively building the AI-augmented ops model • Ownership: if you build it, you own it. • Opportunity to grow and thrive in an inclusive environment

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