Analista de geoprocessamento pleno – remoto

Home Office, Brasil, São Paulo
Efetivo (CLT)
Eng. Cartográfico e Agrimensor
Engenharia de Agrimensura
Engenheiro Agrícola
Engenheiro Agrônomo
Engenheiro Ambiental
Engenheiro Florestal
Geógrafo

PRINCIPAIS RESPONSABILIDADES

• 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.

QUALIFICAÇÕES

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