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.
- 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 multidisciplinary teams (product, analytics, technology, and business).
- Support and mentor teams in the correct use of tools and frameworks such as Dataform, BigQuery, Git, and CI/CD workflows.
- Ensure consistency and alignment of business metrics and KPIs across domains.
- Collaborate with Data Engineers to ensure upstream data availability, integrity, and usability.
- Enable data consumption through BI tools and support self service analytics initiatives.
- Participate in code reviews and design reviews, ensuri

📌 Analytics Engineer (Monterrey)
🏢 DataArt
📍 Monterrey