Senior Statistical Officer, Local Transport Funding Data

Senior Statistical Officer, Local Transport Funding Data

Department for Transport

Apply before 11:55 pm on Sunday 23rd August 2026

📍 Location: Birmingham, Leeds (This role is suitable for hybrid working)

💷 Salary: £44,241 - A Civil Service Pension with an employer contribution of 28.97%

🕘️ Contract Type: Permanent – Flexible working, Full-time, Job share, Part-time

🏆️ Available Positions: 1

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. 

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.

Top Responsibilities

• 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 In particular, 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.

For more information on the role and responsibilities please see the full job advert on CS Jobs using the link provided.

Benefits

• Employer pension contribution of 28.97% of your salary. Read more about Civil Service Pensions here
• 25 days annual leave, increasing by 1 day each year of service (up to a maximum of 30 days annual leave). 
• 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.
• Joining a diverse and inclusive workforce with a range of staff communities to support all our colleagues.
• 24-hour Employee Assistance Programme providing free confidential help and advice for staff.
• Flexible working options where we encourage a great work-life balance. 

About You

We welcome applications from candidates who have the following skills and attributes:

• Experience working with data in spreadsheets & databases, including use of SQL or BigQuery.
• Fluency in coding, for example in R.
• Experience of data visualisation of large datasets, for example using dashboarding tools such .as Power BI.
• Good interpersonal skills and the ability to build constructive relationships with a range of stakeholders, whether analysts or non-analysts.
• Ability to translate technical information to non-technical colleagues and adapt communication style to suit the audience.

How to Apply

👉 Read the full description and apply at CS Jobs using the link provided.

This vacancy closes at 23:55 on Sunday 23rd August 2026