Category Analytics Intern – Hybrid Madrid

Kraft Heinz; Madrid; Híbrido; EUR 6100 - 7300; Jornada completa

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Descripción de la vacante

Kraft Heinz in Madrid offers a dynamic internship in the Category Department. You will own projects, analyze sales data and market trends, and support customer discussions with insights.

You will collaborate with cross-functional teams to develop category recommendations and client-ready presentations. The role focuses on planogram work, sell-out reporting, and development of category materials using data visualization tools.

Formación

• Relevant degree in Management, Business Administration, Business Analytics.
• Proficient in Business English and Spanish.
• Great command of Microsoft Excel and PowerPoint.
• Experience using Spaceman (planogram tool) is a plus.
• EU Working Permit required (Orientation Year Visa not included).

Responsabilidades

• Analyzing sales data, sell-out performance, and market trends to support category analysis and growth opportunities.
• Collaborating with cross-functional teams by bringing data and insights to support customer discussions and category recommendations.
• Turning market data into insights, trade stories, and client-facing proposals for presentations.
• Supporting ad hoc customer projects including assortment optimisation and action plans.
• Category Management projects (planogram building and shelf navigation).
• Owner of regular sell-out reports to support monthly performance reviews.

Conocimientos

Business English

Spanish

Excel

PowerPoint

Data analysis

Educación

Management/Business Administration/Business Analytics degree

Herramientas

Spaceman

Descripción del empleo

Kraft Heinz in Madrid offers a dynamic internship in the Category Department. You will own projects, analyze sales data and market trends, and support customer discussions with insights.

You will collaborate with cross-functional teams to develop category recommendations and client-ready presentations. The role focuses on planogram work, sell-out reporting, and development of category materials using data visualization tools.