Student Assistant in Pricing & Commercial Analytics (Food & Beverage, Hybrid)

Job summary

This role involves supporting a team focused on pricing strategy and commercial analytics within the Food & Beverage sector. The position offers hands-on experience with data analytics tools and contributes to data-driven commercial decisions.

Qualifications

• Final year of bachelor’s degree or 1st–2nd year of master’s degree in Data Science, Business, Economics, Finance, or related field.
• Strong interest and experience in data analytics, particularly with Python and SQL.
• High proficiency in Microsoft Excel.
• Proficient in English, both written and spoken.

Responsibilities

• Conduct commercial analyses on large datasets using Excel, SQL, Python, KNIME, and Power BI.
• Perform scenario modeling to evaluate pricing changes and other commercial factors.
• Develop and maintain Power BI dashboards for Sales and Marketing teams.
• Translate commercial data into actionable insights for stakeholders.
• Collaborate with colleagues in Marketing and Sales to share knowledge and support initiatives.

Skills

• Experience with large, complex datasets is advantageous.
• Interest in pricing, commercial excellence, or strategy is a plus.
• Curiosity about applying analytics, statistics, or AI to business challenges.

Education

• Bachelor’s or Master’s degree in relevant fields.

Tools

• Proficiency in Excel, SQL, Python, KNIME, and Power BI.