Graduate - Data Analyst
Role details
Job location
Tech stack
Job description
You will be based within the North and East Route within Network Rail, focussing primarily on infrastructure. Whilst the role is in York, travel will be expected to other depots such as Sheffield, Leeds and Middlesbrough.
The graduate scheme begins with a period of business familiarisation, during which you will gain an awareness and understanding of the railway as a system, and its range of disciplines and teams. This will setup the foundation for your longer-term projects and tasks.
Throughout the scheme, you will be tasked with a range of activities and placements with the aim of delivering data-driven solutions. As part of this, you will learn how to manage and maintain key assets effectively and efficiently.
Requirements
Safe behaviour is a requirement of working for Network Rail. Applicants should be able to demonstrate their awareness of our safety vision ., * At least a 2:1 in any degree subject (or on track towards), in your final year or within a year of graduating.
- Strong analytical and modelling skills.
- Excellent communication and collaboration.
- Experience with programming languages such as Python and SQL.
- Desirable to have experience with Power BI, Python packages such as Pandas, Matplotlib and NumPy, Selenium and QGIS/ArcGIS.
- Desirable to have rail industry experience., The ideal candidate is someone who is curious, motivated, and excited to start a career in data. They enjoy working with numbers and using data to solve problems and improve how things work.
They are a strong thinker who can understand patterns, ask good questions, and turn data into useful insights. They are also a good communicator, able to explain findings clearly to others, even if they are not data experts.
This person works well both independently and as part of a team. They are organised, able to manage different tasks, and open to learning new skills. They are interested in technology and enjoy understanding how systems and teams connect, especially in a complex environment like the railway.