Client: Our client is a leading airline in Latin America, committed to innovation and delivering seamless customer experiences through cutting edge digital platforms.

Project overview: The Data and Analytics organization plays a critical role in enabling data driven decisions across the company, ensuring information flows efficiently from its generation to its consumption. The team designs and maintains scalable data pipelines and models that power analytical use cases, operational systems, and digital products across LATAM. Operating in a Google Cloud Platform (GCP) environment, the team works with tools such as BigQuery, Dataform, Python, APIs, and Terraform, following Agile and DataOps best practices to ensure reliability, scalability, and business impact.
- Position overview: We are looking for an Analytics Engineer with a strong foundation in data modeling and a clear understanding of the data lifecycle, with a focus on enabling business teams to build and operate their own data products.
- The idóneo candidate combines technical expertise with business understanding,



capable of translating analytical needs into scalable, well-structured, and governed data models. This role is not only hands on, but also acts as a mentor and guide, helping teams adopt best practices in analytics engineering, data governance, and data usage. The candidate acts as a connector between data engineering, analytics, and business domains, supporting the organization in evolving toward a scalable self-service data model.
- Responsibilities: Design, build, and maintain scalable data models that support analytical and business use cases.
- Understand the current “as is” state of data models and analytical needs, identifying gaps, inconsistencies, and improvement opportunities.
- Define and promote best practices in data modeling, documentation, data quality, and governance across teams.
- Translate business requirements into clear and reusable data models, collaborating closely with mult

📌 Analytics Engineer (Monterrey)
🏢 DataArt
📍 Monterrey