Job description
Transport & Environment (T&E), the leading European NGO promoting cleaner transport, is offering a Brussels based position for a data analyst, starting from March 2025. The role will primarily focus on charging and grids.
The successful candidate will join T&E’s Trends and Analysis team, our home for research, transport modelling and data analysis. Project work will primarily be directed by T&E’s EU Cars team, where work will be driven by the opportunities to shape and set transport policy. Opportunities to contribute to other work programmes may arise based on capacity and interest.
T&E prides itself on developing data and evidence based transport policy for the EU. Your work will have a huge and lasting impact as we work with policy makers, advisory bodies and a coalition of civil society across the EU. Transport is the largest emitting sector in the EU - your work will help us to make sure transport plays its part in getting to net zero.
Our working environment fosters learning and professional development. We value ideas and afford our colleagues the agency and autonomy to develop evidence and argument based solutions to our complex transport decarbonisation challenges. We work on issues that can have a positive impact on the way we travel, on our health and on the climate.
We are looking for someone who can apply appropriate quantitative analytical tools and techniques, and synthesise evidence from a range of sources, to help our mission in creating a sustainable transport system. This will include assessing the reliability and relevance of evidence and giving objective evidence-based advice to shape policy and to help shape the public narrative of transport issues.
Main functions of the role:
● Take a leading role on T&E’s analytical and research work for EU based topics. ● Deliver modelling of European cars and charging projects, providing support on wider road transport analysis
● Write reports and policy briefings that detail these impacts and the policy changes that would help deliver them.
● Present research findings internally and externally.
● Support T&E’s analytical work in other work programmes when additional capacity is required.
● Review T&E analytical outputs to ensure a high degree of research, analysis, and argumentation. This includes quality-assuring models, challenging input data and assumptions and interpreting output data.
● Provide input to T&E’s policy and communication strategies.
Job requirements
Job requirements:
● Experience in python and Excel (additional coding or database management experience is considered a bonus). Any examples of integrating GenAI as part of data analysis is a bonus.
● Excellent communication and presentation skills and an ability to write in English fluently, accurately and concisely. Other European languages are considered a bonus. ● Ideally a couple years experience working on European charging and cars analysis and modelling, either in an industry, consulting or academic context
● Project management experience including strong interpersonal and team-working skills and an ability to deliver to tight deadlines.
● The confidence to think and act with initiative, to engage and influence policymakers of different stripes, industry representatives and other stakeholders at the highest level.
How to apply:
To apply, please submit your CV and motivation letter at jobs.transportenvironment.org. The deadline for applications is the 2nd of February.
Interview process:
First-round interviews are planned for the week of 17th of February, and selected candidates will be notified by the start of that week.
About Us
Transport & Environment is Europe’s leading clean transport think tank and campaign group. We combine the power of robust evidence and a deep understanding of the transport sector with compelling communications and impactful advocacy. T&E will commit to your professional development and invest in training from your first day with the organisation. Our people work across Europe: we have offices in Brussels, Rome, Paris, Berlin, Madrid, Warsaw, and London.
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