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Uni Systems
Environmental Data Analyst
about 3 hours ago | 15 views | Be the first one to apply

Environmental Data Analyst

Full-time
Italy

About the company

Our UniQue IT people are the most valuable part of Uni Systems; their knowledge and experience has made us the leading and reliable systems integrator of today and has contributed to our steady financial growth. We have created and are maintaining a stable working environment for our employees, with countless opportunities to innovate and thrive. Our work culture recognizes our UniQue IT people, supports the free sharing of ideas and the flow of information via open communication, while appreciating and effectively utilizing the talents, skills and perspectives of each employee. At Uni Systems, we are providing equal employment opportunities and banning any form of discrimination on grounds of gender, religion, race, color, nationality, disability, social class, political beliefs, age, marital status, sexual orientation or any other characteristics.

Job Summary

What will you be bringing to the team?

šŸ“Contribution to the production of updated greenhouse gas and air pollutant emission estimates at global level, incorporating latest available information on technologies and abatement measures for various sectors šŸ“Contribution to the development of consumption-based estimates in EDGAR, incorporating data from GTAP, UN Comtrade and other relevant sector specific data sources šŸ“Support the development of EDGAR emission scenarios šŸ“Provide support for data analysis of EDGAR products šŸ“Contribution to additional EDGAR activities, upon request, such as to the yearly EDGAR booklet.

Requirements

šŸ“What do you need to succeed in this position? šŸ“Master Degree + 3 years of relevant professional experience šŸ“Capacity to write clear and structured technical documentation šŸ“Deep knowledge in provision of technical evaluations šŸ“Experience in data analysis and modelling, in particular related to emissions estimation šŸ“Experience in quality assessment provision šŸ“Knowledge of statistical inference methods and high-end analytics (data mining and classification methods)

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