GCP Data Analyst – Hybrid, Mexico City (BigQuery, Python)

VISEO Group; Ciudad de México; Hybrid; MXN 420,000 - 640,000; Full time

Job summary

VISEO is seeking a GCP Data Analyst in Mexico City for a hybrid role. You will work with data-driven environments, leveraging SQL, BigQuery, and Python to build and maintain data pipelines, validate data quality, and support governance initiatives.

The ideal candidate has 3 to 7 years of experience, strong English and Spanish, and can operate in an international setting. Prior experience with BI tools and CI/CD practices is a plus.

Qualifications

• 3 to 7 years of experience as a Data Analyst, BI Analyst, or similar role.
• Experience in data-driven environments with cloud-based analytics platforms.
• Strong SQL expertise.
• Hands-on experience with Google BigQuery.
• Good understanding of Google Cloud Platform (GCP).
• Experience with Python for data analysis or automation.
• Knowledge of data integration concepts (ETL/ELT, APIs, batch processing, data pipelines).
• Understanding of data quality, validation, and governance principles.
• GCP Ecosystem Knowledge including BigQuery, Cloud Storage, Dataflow, Data Fusion, Cloud Composer/Apache Airflow.

Skills

SQL

Google BigQuery

Python

GCP

ETL/ELT

Data governance

Data quality

Looker / BI tools

APIs

Tools

Looker Studio

Power BI

Tableau

Git

Airflow

Job description

VISEO is seeking a GCP Data Analyst in Mexico City for a hybrid role. You will work with data-driven environments, leveraging SQL, BigQuery, and Python to build and maintain data pipelines, validate data quality, and support governance initiatives.

The ideal candidate has 3 to 7 years of experience, strong English and Spanish, and can operate in an international setting. Prior experience with BI tools and CI/CD practices is a plus.