Data analyst – Barueri/SP

SP l São Paulo
Efetivo (CLT)
Administrador
Engenheiro Agrícola
Engenheiro Agrônomo
Tecnologia da Informação
Tecnólogo em Agronegócio

Responsabilidades

• Data Engineering & Integration
  • Design, build, and maintain data pipelines using Databricks, Azure Data Factory, and SQL.
  • Implement ETL processes to ensure accurate and timely data flow across systems.
  • Apply data governance and quality checks to maintain reliability and compliance.
• Analytics & Visualization
  • Develop interactive dashboards and reports in Power BI or Databricks BI to support operational and strategic decisions.
  • Perform in-depth data analysis to identify trends, anomalies, and opportunities for process improvement.
  • Collaborate with business stakeholders to translate requirements into actionable insights.
• Collaboration & Continuous Improvement
  • Partner with data engineers, supply chain managers, and business analysts to align data solutions with business needs.
  • Document processes, maintain data dictionaries, and contribute to best practices in data management.

Requisitos

• QUALIFICAÇÕES MÍNIMAS
  • Bachelor’s degree in Data Engineering, Data Science or Agriculture, Business, Administration, Engineering or related fields.
  • Proficiency in SQL and experience with Databricks for data transformation and modeling.
  • Advanced skills in Power BI (including DAX, data modeling, and visualization best practices).
  • Strong understanding of data warehousing concepts and data governance principles.
  • Excellent communication skills to convey technical concepts to non-technical stakeholders.
  • Intermediate English. Spanish is a plus.
  • Analytical mindset with attention to detail.
  • Ability to manage multiple priorities in a fast-paced environment.
  • Strong problem-solving and critical-thinking skills.
• QUALIFICAÇÕES PREFERENCIAIS
  • Experience in Supply Chain or Manufacturing analytics.
  • Familiarity with Python or PySpark for advanced data manipulation.
  • Knowledge of Azure ecosystem.
  • Exposure to CI/CD practices for data workflows.

Benefícios

• Be part of a globally recognized leader in agricultural innovation.
• Work on impactful projects that contribute to food security and sustainability.
• Access to continuous learning and career development opportunities.