GIS Analyst

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July 4

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Cargill

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Agriculture • Food & Beverage • Transport

Cargill is a global corporation focused on enhancing the world's food supply chain. With a workforce of 160,000 team members across 70 countries, Cargill collaborates with farmers, ranchers, manufacturers, foodservice providers, and retailers to source, produce, and deliver vital food, agricultural, and industrial products. The company is dedicated to improving global food security while minimizing environmental impact through sustainable practices and innovative solutions. Cargill's operations span various sectors including agriculture, animal nutrition, beauty products, bioindustrial solutions, food service, pharmaceuticals, meat and poultry, risk management, supplements, and transportation. The company's mission is to nourish the world in a responsible and sustainable manner, leveraging its extensive supply chain network and resources to create opportunities for growth and prosperity.

10,000+ employees

Founded 1865

🌾 Agriculture

🚗 Transport

📋 Description

• A grandeza e a escala da Cargill nos permitem causar um impacto positivo no mundo. • Nosso propósito é nutrir o mundo de forma segura, responsável e sustentável. • Cargill é uma empresa familiar que fornece alimentos, ingredientes, soluções agrícolas e produtos industriais vitais para a vida. • Conectamos os agricultores aos mercados para que possam prosperar. • Conectamos os clientes aos ingredientes para que possam preparar refeições que as pessoas amam. • Conectamos as famílias aos itens essenciais do dia a dia - desde ovos até óleos comestíveis, sal, cuidados com a pele, ração e até combustíveis alternativos. • Nossos 160.000 colegas, atuando em 70 países, produzem produtos essenciais que impactam bilhões de vidas a cada dia. • Junte-se a nós e alcance seu propósito mais alto na Cargill.

🎯 Requirements

• Bachelor’s degree in Agronomy, Geography, Cartography, Forest Engineering, Environmental Engineering, Data or System Engineering or related knowledge areas. • Expertise in geospatial data analysis. • Ability to quickly take disparate information and derive accurate insights. • Demonstrated ability to problem solve and execute under tight timelines and pressure. • Intermediate level in English.