Tableau BI & Risk Analytics Analyst

Bunge; Sant Just Desvern; Presencial; EUR 55.000 - 75.000; Jornada completa

Descripción de la vacante

Bunge in Barcelona is seeking a Middle Office and Business Intelligence Analyst to design, build, and maintain Tableau dashboards focused on risk and financial analytics. You will translate complex business needs into clear visualizations while promoting BI best practices and data‑driven decision making.

Key activities include creating dashboards for risk positions and PnL, collaborating with stakeholders, and contributing to automation initiatives using SQL or Python.

Formación

• Proven experience consuming curated datasets and building high‑quality dashboards in Tableau environment.
• BI & Visualization best practices: metric interpretation and storytelling for users.
• Able to translate complex questions into accurate calculations and views.
• Fluent English; able to explain analyses to non‑technical users.
• Experience or knowledge in SQL, Python, or automation.

Responsabilidades

• Design, build, publish, and maintain Tableau dashboards across environments.
• Consume datasets from BI/IT and transform into analytical views.
• Ensure dashboards follow BI standards and usability best practices.
• Develop and maintain dashboards for Risk Positions, PnL and related analytics.
• Create workbook‑level calculations, LODs, mappings; use Tableau Prep for light data work.
• Act as Tableau SME; support users with questions and troubleshooting.
• Analyze Excel reports to understand historical logic and support validation.
• Participate in automation/analytical initiatives using SQL or Python.

Conocimientos

Tableau

Dashboard design

Data visualization

SQL

Python

Fluent English

Herramientas

Tableau Desktop

Tableau Online

Tableau Prep

Descripción del empleo

Bunge in Barcelona is seeking a Middle Office and Business Intelligence Analyst to design, build, and maintain Tableau dashboards focused on risk and financial analytics. You will translate complex business needs into clear visualizations while promoting BI best practices and data‑driven decision making.

Key activities include creating dashboards for risk positions and PnL, collaborating with stakeholders, and contributing to automation initiatives using SQL or Python.