Analytics Engineer with Data Modeling, LATAM Data Platform

Remote.AR
Remote.Colombia
Rosario
Монтевидео
Монтерей

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Client

Our client is an airline group in the Latin America region.

Project overview

The project focuses on enabling data driven decision making through well structured, scalable, and reliable analytical data models. The team designs and maintains the pipelines and structures that power analytical use cases, operational systems, and digital products across the LATAM region.

Team

You will work in a cross functional Data and Analytics team that includes data engineers, analytics specialists, product partners, and business stakeholders. The team collaborates through Agile practices and follows DataOps principles to ensure high quality and high impact data delivery.

Position overview

We are looking for a Middle Analytics Engineer with strong skills in data modeling and a comprehensive understanding of how data moves from generation to consumption. You will support business teams in building and operating their own data products while ensuring clarity, consistency, and governance across all analytical assets. This person will bridge data engineering, analytics, and product teams, helping scale the organization toward a self service data model.

Technology stack

BigQuery, Dataform, Python, Git, CI CD workflows, Terraform, APIs, Google Cloud Platform, BI tools such as Looker

Responsibilities

Design and maintain data models that serve analytical and business needs
Analyze the current state of data models and identify gaps and improvement opportunities
Promote best practices in modeling, documentation, data quality, and governance
Translate business requirements into structured and reusable data models
Collaborate with product, analytics, technology, and business partners
Support teams in the correct usage of Dataform, BigQuery, Git, and CI CD tools
Ensure consistent definitions of business metrics and KPIs
Work with Data Engineers to align on data quality and upstream availability
Enable data consumption in BI tools and support self service analytics
Participate in code and design reviews to ensure adherence to standards
Create reusable templates, guidelines, and scalable data patterns
Promote data literacy and data informed decision making across teams
Engage in project planning and prioritization based on impact and scalability

Requirements

3 years of experience in Analytics Engineering, Data Analytics, or similar roles
Proficiency in SQL and BigQuery
Experience with Dataform or similar frameworks such as dbt
Understanding of data modeling concepts including dimensional modeling, data marts, and metrics definitions
Experience with BI tools such as Looker
Proficiency in Python for analysis and exploration
Familiarity with Git and CI CD principles
Understanding of data governance, data quality, and documentation approaches
Ability to communicate with both technical and non technical stakeholders
Experience working in Agile environments
Fluency in Spanish and intermediate English

Nice to have

Experience working in Google Cloud Platform
Exposure to DataOps practices
Experience contributing to data product development

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