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GIS Analyst - São Paulo/SP - Remote

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Job ID 307600 Date posted 07/04/2025 Location : São Paulo, Brazil Category  COMERCIALIZAÇÃO Job Status  Assalariado(a) em tempo integral

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.
Esta posição faz parte do negócio da cadeia de suprimentos agrícolas da Cargill. Estamos no coração da cadeia de suprimentos, colaborando com agricultores e clientes para obter, produzir e entregar produtos que são vitais para a vida. 

Job Purpose and Impact

The GIS Analyst will create complex insights on monetizable businesses questions using powerful geo analytics that connect live, bottom-up company intelligence and create competitive edge not possible from other ways. In this role, you will research, understand and agree on the key local business questions to be answered before deploying plans on data, technology, geo analytics and models, people and culture in the region. You will coach, orient and support other teams on the geographic information science usage to solve relevant business questions locally and will guide and advise more junior analysts to use, create and run methodologies and medium models focused on solving powerful and monetizable business questions.

Key Accountabilities

  • Execute best in class complex global information science analytics efforts defined by the regional strategy and ensure message is heard and understood by local businesses.
  • Execute towards speed, accuracy and communication of complex confidence intervals for global information science forecasts and contribute to the development of continuous improvement initiatives.
  • Run, use and challenge global information science team analysis, methodologies and models such as area survey using satellite images, index analysis and spatial analysis to deliver results and intelligence to influence and support the creation of insights for the businesses.
  • Execute on the transformation of broad geographic information science knowledge and usage into businesses insights and competitive advantage to the local business by facilitation of analysis distribution to internal experts to influence and support their insights to the commercial and trading teams locally.
  • Coach global information science analysts to provide real value, assist them to understand the connection between the team and the local business needs and establish the knowledge of the value add of each specific local analysis for the business.
  • Support the local geographic information science link within the region, trading, analytical and various other teams to gather data and market knowledge to incorporate the use of spatial analysis to create businesses competitive advantage.
  • Independently solve moderately complex issues with minimal supervision, while escalating more complex issues to appropriate staff.
  • Other duties as assigned.

Qualifications

MINIMUM QUALIFICATIONS

  • 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.

PREFERRED QUALIFICATIONS

  • Master's degree.
  • Expertise in programming languages like Python, SQL, R.
  • Understanding of complex modeling techniques and big data management.

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Na Cargill, todas as pessoas são importantes. A Cargill está comprometida em criar e manter um ambiente de trabalho inclusivo e diversificado, onde todos e todas são tratados com dignidade e respeito. Alinhada com nossos Princípios e Valores, a Cargill proíbe qualquer tipo de discriminação e assédio contra qualquer pessoa ou candidato (a) no que diz respeito a: raça, etnia, cor, religião, nacionalidade, ascendência, sexo, gênero, identidade de gênero, expressão de gênero, orientação sexual, idade, deficiência, gravidez, informações genéticas, estado civil, status familiar, país de origem, afiliação a sindicato ou qualquer outro status protegido por lei. A Cargill também cumpre todas as leis e regulamentos nacionais e locais aplicáveis, relativos à não discriminação e empregabilidade. 

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