Expert (f/m/d) Corporate Environmental Data and Reporting

Job Description

Knowledge for the world of tomorrow.

Data analytics and environmental protection are two hot topics of our today’s world. How does a combination of both sound to you? Climate change and environmental protection have become mega trends of this century. In view of corresponding risks and opportunities, many governments are currently establishing new policy frameworks for a sustainable future economy as part of global Green Deals and global governmental Action Plans. These policies need to be translated into data and KPIs, they need to be tracked, reported and analyzed to make progress visible and identify improvement areas. 
If you are a data analyst and interested in using your skills to push Siemens’ environmental protection or if you are an environmental protection expert with a strong focus on data analytics, a career in Corporate Environmental Protection could be the ideal fit for you.

What part will you play?

The Expert (f/m/d) Corporate Environmental Data and Reporting supports the Head of (f/m/d) Corporate Environmental Protection Data Analytics in the setup of company-wide governance responsibility for Environmental data analytics and reporting:
  • You will collaborate in the development & implementation of new environmental KPIs on a global level
  • In Addition, you are responsible for the documentation, explanation and presentation of new KPIs to various internal stakeholders
  • Furthermore, you will support the internal and external reporting and auditing process for Siemens' sustainabilty report and ratings as well as rankings
  • You will be part of the definition process of requirements and change requests for ERP and environmental reporting systems at Siemens
  • You will drive the improvement of KPIs, data analysis and visualization as well as ETL processes 
  • You will be responsible for conducting data analytics, interpreting, visualizing and presenting results 
  • You will research and provide internal and external environmental data to experts    
What you need to make real what matters.
  • You successfully completed your master’s degree in mathematics, physics, chemistry, environmental sciences, technical engineering, data analytics & statistics or another field with strong statistical background, preferably with a background of practical environmental protection
  • You have longterm operational experience in data analytics, many years of professional experience in supporting international and complex projects as well as many years of professional experience in intercultural cooperation
  • You distinguish yourself by profound knowledge in descriptive and predictive statistical methods and hands on experience in statistical programming languages such as R or Python
  • You can provide advanced language skills in English, German is a plus
  • Therefore, are characterized by good communication and presentation skills
  • You have strong Excel skills, and knowledge in defining ETL processes and data bases
  • Knowledge of environmental standards, policies and laws as well as business processes is a plus
  • Experience in visualizing and analyzing data with Geoinformation systems is a plus

What we offer. 
  • 2 to 3 days of mobile working per week as a future global standard
  • Attractive remuneration package
  • Development opportunities for both personal and professional growth 
  • 30 leave days and a variety of flexible working models that allow time off for yourself and your family 
  • Share matching programs to become a shareholder of Siemens AG
  • Find more benefits here
Individual benefits are adapted to meet local legal regulations, the requirements of different job profiles, locations, and individual preferences. 

Make your mark in our exciting world at Siemens.

As an equal-opportunity employer we are happy to consider applications from individuals with disabilities. - if you would like to find out more about jobs & careers at Siemens.

FAQ - if you need further information on the application process.

Organization: People & Organization

Company: Siemens AG

Experience Level: Experienced Professional

Full / Part time: Full-time

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