At a Glance
- Tasks: Use data and coding skills to improve local transport funding analysis.
- Company: Join the Department for Transport, making a real impact on local transport schemes.
- Benefits: Enjoy 25 days annual leave, flexible working, and a generous pension contribution.
- Other info: Opportunities for professional development and collaboration with policy officials.
- Why this job: Be part of a team shaping the future of local transport funding in England.
- Qualifications: Experience in data analysis and coding, with a passion for transport issues.
The predicted salary is between 44241 - 44241 £ per year.
Are you excited about making a difference through data? Are you interested in building evidence on local-level transport schemes, from potholes to buses, to create impact in this new era of English devolution? If so, we'd love to hear from you!
The Department for Transport has an exciting opportunity available working on data delivery and analysis for the Local Transport Funding Data team. This is an exciting time for transport at local level. The DfT has recently introduced the biggest change to Local Authority transport funding in 25 years, consolidating disparate funding streams into multi-year settlements and simplifying the accountability framework for local transport. DfT funds are distributed through Local Authorities and go to a wide range of local transport programmes, ranging from highways maintenance, such as potholes, to larger schemes such as light rail and transport hubs. In a new era focusing on English Devolution, this team is fast developing the evidence base for key decision-making.
Joining our department comes with many benefits, including:
- Employer pension contribution of 28.97% of your salary.
- 25 days annual leave, increasing by 1 day each year of service (up to a maximum of 30 days annual leave), plus 8 bank holidays and a privilege day for the King’s birthday.
- Flexible working options where we encourage a great work-life balance.
You will report to the Head of Branch, providing opportunities to lead priority areas within the team. You will be expected to contribute to your division’s wider agenda and work programme. This will include developing data visualisations, developing and improving reproducible analytical pipelines and assisting with quality assurance across the team and teams in division.
Key responsibilities are expected to include:
- Using your data and coding skills to populate, maintain and improve databases containing project delivery information for funds across Local Transport.
- Deploying a code-led approach to create new outputs and visualisations of data for your customers and improve processes, ensuring departmental and analytical best practices are followed, particularly utilising RStudio, GitHub, BigQuery and Power BI.
- Developing strong relationships with policy and project management customers to establish their data needs in terms of monitoring and evaluating project delivery, providing service outputs accordingly. Where required, you’ll work collaboratively with analysts of other professions, located in separate divisions within DfT.
- Effectively communicating analytical findings to non-technical audiences, utilising existing team products and suggesting new tools, including geography products.
- Managing a range of requests for analysis of statistical, expenditure and funding data, some at extremely short notice, from ministers, government departments, and other senior stakeholders – whether on the local transport portfolio, or any other areas covered by the team.
- Where funding calculations are completed, ensuring the team and its customers follows best practice for modelling and analytical assurance.
- Interpreting and summarising analysis accurately, communicating the methodology, limitations and nuances of the data clearly, adapting this to suit both technical and non-technical audiences.
Once in post, we will provide training to equip you to fulfil these responsibilities. Our team is part of the Department’s Civil Service Award winning wider Transport Statistics community, which strongly encourages the learning and development of our members. An example of this is our coffee and coding sessions, which are run regularly to share good practice and encourage upskilling amongst our membership.
Posts in the Transport Statistics team offer the opportunity to:
- Join our growing community of trainee coders, learning skills like R, SQL, Python, and using tools such as Power BI, GitHub and Google Cloud Platform.
- Work one-to-one with policy officials to produce and present statistical evidence that informs some of the highest profile policies in Government.
Information on the role profile and recruitment process is provided in the original posting.
Proud member of the Disability Confident employer scheme.
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