Controlling Senior Analyst

The Senior Commercial Controlling Analyst is responsible for delivering financial and business analysis to support commercial decision making, ensuring accurate performance measurement, validation of results, and effective monitoring of business exposures. This role actively contributes to management reporting processes, monthly close activities, and profitability analysis, providing timely and reliable insights to local and regional stakeholders.

The role will also have a strong focus on leveraging data and digital tools to simplify, automate, and improve existing processes, bringing a proactive and technology-driven approach to Commercial Controlling.

Key Responsibilities

• Prepare and analyze financial and business performance information, translating complex datasets into meaningful reports and actionable insights for commercial management.
• Execute and validate daily and weekly P&L reporting, while monitoring commercial positions and key drivers impacting financial performance.
• Participate in month-end closing activities, reconciliations, and financial controls.
• Perform variance analysis and explain deviations against expected results.
• Partner with Trading, Operations, Finance, and Accounting teams to ensure data accuracy and consistency.
• Proactively identify opportunities to simplify and improve existing processes, leveraging data and digital tools to drive automation, efficiency, and continuous improvement, while providing ad hoc analysis and recommendations to enhance business performance.

• Bachelor’s degree or advanced studies in Accounting, Business Administration, Economics, Finance, Engineering, Data Analytics, or related fields.
• Previous experience in Controlling, Finance, Data Analytics, Business Intelligence, Process Automation, Trading Support, or related areas.
• Strong analytical and data-driven mindset, with the ability to turn complex information into actionable insights.
• Hands-on knowledge of Python, Power Apps, Excel, and Business Intelligence tools such as Power BI. SAP knowledge is a plus.
• Ability to identify opportunities for process improvement, simplification, and automation, while collaborating effectively across different business areas.
• Intermediate to advanced English. Knowledge of commodity markets or experience in agricultural commodities or trading environments is a plus.