Volunteer - Statistics Volunteer
Statistics Volunteer
Location: Headquarters – Oxford Road, Kidlington
Hours: 2.5 – 5 hours per week
Join us at the heart of policing intelligence.
We are looking for a detail-oriented and analytical individual to join our headquarters team in Kidlington. This pivotal role supports national policing efforts by collating and managing statistical data required by the Home Office.
What you'll be doing:
- Gathering, reviewing, and submitting key force statistics in line with national reporting standards
- Ensuring data accuracy and completeness using our internal software systems
- Collaborating with relevant departments to meet deadlines and data requirements
Training and Support:
Full initial training will be provided at the Thames Valley Police training centre in Sulhamstead. This is a 2-day programme, with all travel expenses covered.
If you have any queries please contact the Recruitment Team at RecruitmentPoliceStaff@thamesvalley.police.uk quoting reference 130825. We will endeavour to respond to your query as quickly as possible.
Please use Google Chrome when completing your application, wherever possible, as this will enhance performance.
The closing date for enquiries and receipt of completed applications is Sunday 28 September 2025.
Please note this vacancy may be removed prior to the closing date once sufficient candidates have been sourced.
As a volunteer within the police service, you will be subjected to a level of police vetting. The level will be dependent upon the role and it’s access requirements. With the higher levels of vetting, applicants could be asked to provide details of family members, partner, partner’s parents and co-residents, as well as additional information regarding their own personal circumstances. This process is required to ensure that Thames Valley Police comply with the legislation of the Vetting Code of Practice
Whilst we endeavour to complete all vetting within 30 working days of receipt of vetting forms, unfortunately this is not always the case due to operational demand and back-logs, and could take considerably longer.