At a Glance
- Tasks: Analyse and communicate data on electric vehicle charging infrastructure.
- Company: Department for Transport, committed to innovative transport solutions.
- Benefits: Generous pension, 25 days leave, flexible working, and career development support.
- Other info: Join a diverse team with excellent growth opportunities and a supportive work environment.
- Why this job: Make a real impact in the green transport revolution while developing your analytical skills.
- Qualifications: Experience with data analysis and coding languages like SQL, R, or Python.
The predicted salary is between 40000 - 50000 £ per year.
- Electric Vehicle Charging Infrastructure Statistics – Higher Statistical Officer
- Department for Transport
The role will primarily focus on analysis and dissemination relating to the provision of public charging infrastructure.
The post holder will be responsible for the production and development of Official Statistics and further ad‑hoc analysis.
You will work with emerging open data to meet the department’s growing and evolving analytical needs.
This will require discussion with stakeholders to identify needs and priorities, analysis of available and novel data sources to meet these needs, and clear communication of outputs to ensure they are interpreted and used appropriately.
Responsibilities
- Producing timely Official Statistics outputs for electric vehicle charging infrastructure publications and the associated government grants.
- Engaging with stakeholders to ensure these outputs remain relevant and targeted in an environment with developing interests.
- Disseminating, explaining and communicating analysis, outlining findings clearly alongside the limitations of the data, to technical and non‑technical audiences.
- Working proactively with colleagues in analysis, policy, press office, private office and with stakeholders to define their statistical needs and delivering an analytical work programme which balances these needs.
- Building and maintaining strong relationships with industry suppliers to ensure that data provision meets evolving stakeholder needs.
- Contributing to the migration of data storage and processing to Google Cloud Platform tools and R, exploring the analytical potential of new open data feeds and working with data engineers and suppliers to develop them further.
- Responding to ad hoc requests for data and analysis from key stakeholders within the department and externally.
Benefits
- Employer pension contribution of 28.97% of your salary.
- 25 days annual leave, increasing by 1 day each year of service (up to 30 days).
- 8 bank holidays plus an additional privilege day to mark the King's birthday.
- Access to the staff discount portal.
- Excellent career development opportunities and the potential to undertake professional qualifications relevant to your role paid for by the department, such as CIPD, Prince2, apprenticeships, etc.
- A diverse and inclusive workforce with a range of staff communities to support all colleagues.
- 24‑hour Employee Assistance Programme providing free confidential help and advice for staff.
- Flexible working options encouraging a healthy work‑life balance.
About You
- To be successful in this role you will need to have the following experience:
- Working with, manipulating, and analysing data from databases using a coding language (for example SQL, R, Python), ensuring code is shared and processing is reproducible.
- Creating or developing a statistical product which successfully meets user needs.
- Communicating statistical outputs and adapting communication style to suit the needs of different stakeholders and users.
- Eligibility
Eligibility to join the Government Statistician Group can be demonstrated through a minimum of one of:
- A first- or second‑class honours degree (2:2 minimum) in a numerate subject containing taught statistical content (e. g.
Statistics, Data Science, Mathematics, Economics, Sciences, Psychology, Geography).
- Having achieved a Level 4 Data Analytics apprenticeship and being able to demonstrate continuous professional development via a logbook that has been signed off by an existing member of the GSG profession in the role of manager or mentor, covering 2 years in a statistical/data analysis field in government.
- Having worked in a statistical or data science field for a minimum of two years and being able to demonstrate continuous professional development in applying statistics or data science at the same level as a foundation degree or Higher National Diploma (level five).
This vacancy closes at 23:55 on Sunday 5th July 2026.
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Contact Details:
Department for Transport (DfT), United Kingdom Recruitment Team
