Senior BI Engineer: Data Viz, ETL & Cloud Analytics

Zoolatech; Región Centro; Híbrido; MXN 600.000 - 900.000; Jornada completa

Descripción de la vacante

Zoolatech is seeking a BI Engineer / Data Analyst to turn data into actionable business insights for large-scale retail operations. You will build dashboards and data pipelines that support 40,000+ store employees and diverse digital experiences.

You will leverage Power BI or Looker, design ETL with Apache Airflow and Google Cloud Dataflow, and query large datasets across BigQuery, Redshift, Oracle, and Teradata using Python and SQL.

Formación

• Bachelor’s degree in a quantitative field and 8+ years in data analysis or data visualization.
• Strong Python and SQL skills with experience in statistical methods.
• Experience with Apache Airflow or similar workflow orchestration tools.
• Experience with ETL processes and relational databases (BigQuery/Redshift/Oracle/Teradata).
• Proficiency with data visualization tools such as Power BI or Looker.

Responsabilidades

• Create data visualizations using Power BI, or Looker to inform decisions.
• Design and develop data pipelines and ETL processes with Airflow and Dataflow.
• Extract and analyze large datasets from relational databases using SQL.
• Perform data analysis with Python/SQL and apply statistical methods.
• Conduct hypothesis testing and A/B tests for insights.
• Report analytical findings to business stakeholders and collaborate with teams.
• Use Git for version control and collaborative development.

Conocimientos

Python

SQL

Statistical analysis

Hypothesis testing

Git version control

Educación

Bachelor's degree in quantitative field

Herramientas

Apache Airflow

Looker

Power BI

Google Cloud Dataflow

BigQuery

Redshift

Oracle

Teradata

Git

Descripción del empleo

Zoolatech is seeking a BI Engineer / Data Analyst to turn data into actionable business insights for large-scale retail operations. You will build dashboards and data pipelines that support 40,000+ store employees and diverse digital experiences.

You will leverage Power BI or Looker, design ETL with Apache Airflow and Google Cloud Dataflow, and query large datasets across BigQuery, Redshift, Oracle, and Teradata using Python and SQL.