Data Specialist | Remote - LATAM

Fluent English and Spanish communication skills (written + verbal) Meticulous attention to detail Track record of owning complex operational projects from start to finish Strong analytical mindset; ability to validate data and surface discrepancies Comfortable working autonomously in a fast-paced environment Experience with vendor onboarding, marketing ops, or partner integrations Hands-on experience with APIs, integrations, and technical documentation Familiarity with marketing analytics, attribution, and funnel measurement Exposure to automation tools (Zapier, Make, internal scripts, etc.) Interest in or familiarity with AI tools like ChatGPT, Claude, or Gemini

Design, maintain, and optimize backend workflows across MongoDB and SQL-based environments. Write, debug, and optimize database queries, schemas, and stored procedures for performance and scalability. Ensure data consistency, reliability, and accuracy across connected systems. Develop and maintain RESTful API integrations between internal systems, Airtable, and partner platforms. Implement secure data synchronization logic across multiple tools and services (e.g., Airtable → Retool → MongoDB). Troubleshoot and resolve API connectivity issues and data flow bottlenecks. Build and manage dynamic dashboards in Airtable and Retool to support internal teams and partner reporting. Translate complex data models into simple, actionable views for non-technical stakeholders. Collaborate with business and operations teams to automate workflows and improve visibility into key metrics. Support the technical onboarding of new partners — configuring access, connecting data sources, and ensuring successful integrations. Serve as a technical liaison to help partners understand how our data and systems connect. Document setup processes and maintain internal playbooks for repeatable partner integrations. Participate in QA and testing of integrations, database scripts, and automation pipelines. Contribute to internal technical documentation for systems and APIs.