Data Apprentice at West Yorkshire Fire Rescue Service
Bradford BD11 2DY, , United Kingdom -
Full Time


Start Date

Immediate

Expiry Date

28 Sep, 25

Salary

25989.0

Posted On

09 Sep, 25

Experience

0 year(s) or above

Remote Job

Yes

Telecommute

Yes

Sponsor Visa

No

Skills

Learning, Teamwork, Job Satisfaction, Microsoft, Excel, Working Model, Communication Skills

Industry

Information Technology/IT

Description

ESSENTIAL REQUIREMENTS:

  • GCSE Maths & English Grade C/4 or above (or equivalent)
  • Experience using Excel and Microsoft 365 tools
  • A keen eye for detail and a love of problem-solving
  • Willingness to work towards a Level 3 or 4 data qualification
  • Great communication skills, desire to learn and inquisitive mind
    We offer flexible working arrangements, including hybrid working. Whilst you will be required to work from our offices for parts of your initial training, after this you’ll work both in the office and from home as part of our ‘hybrid’ working model. Therefore, applicants must have a reliable home internet connection.
    Job share applicants are welcome to apply.
    The post is subject to a Standard Disclosure and Barring Service Check.
    Joining a first-rate organisation, you will have the job satisfaction of knowing each day that you are contributing to the success of one of just six metropolitan fire and rescue services in the UK, supporting around 950 firefighters who work round the clock, plus around 300 support staff, who help people and save lives.
    We are a caring organisation; we promote an environment of inclusivity and learning, and welcome people from all walks of life – just as long as you can show commitment to our values such as integrity and teamwork.
    For further details and to apply online please visit www.wyfs.co.uk/careers. Closing date for all applications is Sunday 28 September 2025 (midnight).
Responsibilities
  • Sourcing, formatting and analysing data from trusted sources.
  • Building dashboards and reports to tell compelling stories with data.
  • Supporting data quality and cleansing activities.
  • Learning about GDPR and ethical data use.
  • Collaborating with teams across the organisation.
  • Communicating findings to both techies and non-techies.
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