Data Analyst & Engineer: Build Scalable Data Solutions

Chevron; Buenos Aires; Presencial; ARS 1.000.000 - 2.500.000; Jornada completa

Descripción de la vacante

Chevron GBS in Buenos Aires is seeking professionals for Data Analyst and Data Engineering opportunities within the Data & Insights organization. The roles focus on transforming business needs into scalable data solutions, including data pipelines, data products, and analytics enablement.

Responsibilities cover gathering requirements, data modeling, data quality, and collaboration with cross-functional teams to deliver trusted data for analytics and reporting globally.

Formación

• Bachelor’s degree in Information Technology, Engineering, Data Science, CS, Business Analytics, or equivalent experience.
• Experience or knowledge in data analysis, data management, data modeling, data quality, data engineering.
• Experience with data pipelines or reusable data products and BI/reporting.
• Ability to understand business workflows and translate to data requirements.

Responsabilidades

• Understand business data needs and gather stakeholder requirements.
• Collaborate with data analysts, engineers, architects, and delivery teams.
• Design, build, deploy, and maintain scalable data pipelines and data products.
• Apply data and software engineering techniques to improve data accessibility and value.
• Produce documentation and support training and integration activities.

Conocimientos

Analytical thinking

Communication

Collaboration

Business acumen

Educación

Bachelor’s degree or equivalent

Herramientas

SQL

Azure Data Factory

Azure Databricks

Azure Synapse

Power BI

Python

Ansible

Descripción del empleo

Chevron GBS in Buenos Aires is seeking professionals for Data Analyst and Data Engineering opportunities within the Data & Insights organization. The roles focus on transforming business needs into scalable data solutions, including data pipelines, data products, and analytics enablement.

Responsibilities cover gathering requirements, data modeling, data quality, and collaboration with cross-functional teams to deliver trusted data for analytics and reporting globally.