Data Integration Specialist

Copper Hill, Inc.; Ciudad de México; Presencial; MXN 180.000 - 240.000; Jornada completa

Descripción de la vacante

Copper Hill, Inc. is seeking an Data Integration Associate in Mexico City to ensure data entering Copper Hill’s ecosystem is accurate, complete, and properly connected. You will support data intake, validation, monitoring, and automation initiatives across Operations, Product, and Engineering teams.

The role focuses on maintaining data quality, troubleshooting integrations, and improving automated processes, with opportunities to develop technical expertise and advance within data services.

Formación

• Strong attention to detail and commitment to data accuracy.
• Analytical and problem-solving abilities.
• Effective communication and collaboration skills.
• Adaptability and willingness to learn new technologies.
• Process-oriented mindset.
• Organizational and time management skills.
• Commitment to continuous improvement.

Responsabilidades

• Monitor inbound client communications, files, and data submissions.
• Process, validate, and organize incoming client data.
• Assist with data quality checks and validation procedures.
• Escalate data discrepancies, integration issues, or operational risks as appropriate.
• Build foundational knowledge of Copper Hill systems, integrations, and data structures.
• Support day-to-day operational activities while developing technical expertise.

Conocimientos

Attention to detail

Data analysis

Problem-solving

Communication

Collaboration

Adaptability

Descripción del empleo

Copper Hill, Inc. is seeking an Data Integration Associate in Mexico City to ensure data entering Copper Hill’s ecosystem is accurate, complete, and properly connected. You will support data intake, validation, monitoring, and automation initiatives across Operations, Product, and Engineering teams.

The role focuses on maintaining data quality, troubleshooting integrations, and improving automated processes, with opportunities to develop technical expertise and advance within data services.