EHS Data & AI Trainee: Analytics & Automation

Infineon Technologies AG; Porto; Presencial; EUR 10 000 - 15 000; Tempo parcial

Resumo da oferta

Infineon Technologies AG, through WeAreIn, seeks a data-analytics oriented EHS trainee in Porto, Portugal, to join its sustainability initiatives. You will contribute to EHS projects, build dashboards, analyze data, and support digitalization and AI-driven improvements while collaborating with an international team.

Ideal candidates have a degree in Environmental Science or related fields, are fluent in English, and show interest in automation and data-visualization tools such as Excel, Power

Qualificações

• Degree in Environmental Protection, Environmental Science, Data Sciences or a science field.
• ISO 45001, 14001, 50001 experience would be a plus.
• Strong data analysis and problem-solving skills.
• Digitalization, automation, and AI knowledge is a plus.
• Fluent in English, written and spoken.

Responsabilidades

• Environmental, Health & Safety: Support maintenance and improvement of the Global EHS Management System using data analysis.
• Project Implementation: Support EHS-related project implementations.
• Data Collection, Analysis, and Reporting: Collect, consolidate, validate, and analyze EHS data; develop reports and dashboards.
• Digitalization / Automation: Identify opportunities to automate repetitive tasks and reporting.
• AI Approach: Assist in developing AI-driven approaches for data analysis and knowledge management.

Conhecimentos

Data analysis

Digitalization

Automation

AI technologies

Excel

Power BI

Tableau

English proficiency

Formação académica

Environmental Protection

Environmental Science

Data Sciences

Ferramentas

Excel

Power BI

Tableau

Descrição da oferta de emprego

Infineon Technologies AG, through WeAreIn, seeks a data-analytics oriented EHS trainee in Porto, Portugal, to join its sustainability initiatives. You will contribute to EHS projects, build dashboards, analyze data, and support digitalization and AI-driven improvements while collaborating with an international team.

Ideal candidates have a degree in Environmental Science or related fields, are fluent in English, and show interest in automation and data-visualization tools such as Excel, Power