Financial & Operations Executive Apprentice
5VALUES CONSULTING GROUP LTD
Bristol (BS1 2NB)
Closes in 31 days (Monday 22 June 2026 at 11:59pm)
Posted on 22 May 2026
Contents
Summary
As a Financial & Operations Executive Apprentice, you will provide daily support to the Business Services Manager, ensuring the smooth and effective running of the function within the wider business.
- Wage
-
£16,000 a year
- Training course
- Data technician (level 3)
- Hours
-
Monday to Friday, 08:30 - 17:00 working hours.
37 hours 30 minutes a week
- Start date
-
Thursday 25 June 2026
- Duration
-
1 year 6 months
- Positions available
-
1
Work
Most of your apprenticeship is spent working. You’ll learn on the job by getting hands-on experience.
What you'll do at work
Day to Day Duties Include (but are not limited to):
- Collating information and creating reports for COVID-19 office guidelines
- Generating reports on Excel for the wider business: consultant statistics, weekly performance, LinkedIn usage, etc.
- Performing candidate compliance checks following the Paratus process
- Working closely with the Business Services Manager to issue tailored contracts depending on the work location (UK, Germany or Netherlands)
- CRM management using Bullhorn
- Daily running of the office, ensuring that supplies are ordered in a timely manner
- Offering general support to other teams and departments that may need it
Core Skills:
- Strong organisational skills
- High standards of verbal and written communication
- Excellent attention to detail
- IT literate using MS Office and ability to pick up new systems quickly
- Process driven
- Positive, can-do attitude and willingness to learn
- Strong time management, multitasking, and prioritisation skills
- Good standard of education
Where you'll work
Programme
All Saints Street
Bristol
BS1 2NB
Training
Apprenticeships include time away from working for specialist training. You’ll study to gain professional knowledge and skills.
Training provider
LEEP TALENT LIMITED
Training course
Data technician (level 3)
Understanding apprenticeship levels (opens in new tab)
What you'll learn
Course contents
- Select and migrate data from already identified sources.
- Format and save datasets.
- Summarise, analyse and explain gathered data.
- Combine data sets from multiple sources and present in format appropriate to the task.
- Use tools and/or apply basic statistical methods to identify trends and patterns in data.
- Identify faults and cleanse data to improve data quality, for example identifying gaps, duplicate entries, outliers and unusual variances, including cross-checking across data elements or between data sources.
- Audit data results for maintenance of data quality, reviewing a data set once all sources are combined, to ensure accuracy, completeness, consistency and traceability from original data.
- Demonstrate the different ways of communicating meaning from data in line with audience requirements.
- Produce clear and consistent documentation of the data provided to others and of actions completed. Where appropriate or mandated by the working context, this documentation should use standard organisational templates.
- Store, manage and distribute data in compliance with organisational, national, sector specific standards and or legislation.
- Considers sustainability and ways to reduce impact. For example, using cloud storage, sharing links to files, avoid storing multiple versions of files, and reducing the use of physical handouts of documentation.
- Parse data against standard formats, and test and assess confidence in the data and its integrity.
- Operate collaboratively in a working context that accounts for, and takes advantage of, the roles, skills and activities of others, especially those interacting with the same data sets or working towards a common goal.
- Prioritise own activities within the context of the duties to be performed, taking account of any known or expected impact on others.
- Follows equity, diversity and inclusion policies in the organisation for a common goal.
- Demonstrate the ability to use different tools and methods to formulate and utilise effective prompts to research, apply, and evaluate data transformation techniques.
- Select and migrate data from already identified sources.
- Format and save datasets.
- Summarise, analyse and explain gathered data.
- Combine data sets from multiple sources and present in format appropriate to the task.
- Use tools and/or apply basic statistical methods to identify trends and patterns in data.
- Identify faults and cleanse data to improve data quality, for example identifying gaps, duplicate entries, outliers and unusual variances, including cross-checking across data elements or between data sources.
- Audit data results for maintenance of data quality, reviewing a data set once all sources are combined, to ensure accuracy, completeness, consistency and traceability from original data.
- Demonstrate the different ways of communicating meaning from data in line with audience requirements.
- Produce clear and consistent documentation of the data provided to others and of actions completed. Where appropriate or mandated by the working context, this documentation should use standard organisational templates.
- Store, manage and distribute data in compliance with organisational, national, sector specific standards and or legislation.
- Considers sustainability and ways to reduce impact. For example, using cloud storage, sharing links to files, avoid storing multiple versions of files, and reducing the use of physical handouts of documentation.
- Parse data against standard formats, and test and assess confidence in the data and its integrity.
- Operate collaboratively in a working context that accounts for, and takes advantage of, the roles, skills and activities of others, especially those interacting with the same data sets or working towards a common goal.
- Prioritise own activities within the context of the duties to be performed, taking account of any known or expected impact on others.
- Follows equity, diversity and inclusion policies in the organisation for a common goal.
- Demonstrate the ability to use different tools and methods to formulate and utilise effective prompts to research, apply, and evaluate data transformation techniques.
Training schedule
- Data Technician Level 3 Apprenticeship Standard
- You will also receive full training and support from the Just IT Apprenticeship Team to increase your skills
Requirements
Essential qualifications
GCSE in:
- English (grade Grade C/4 +)
- Maths (grade Grade C/4 +)
Share if you have other relevant qualifications and industry experience. The apprenticeship can be adjusted to reflect what you already know.
Skills
- Communication skills
- IT skills
- Attention to detail
- Organisation skills
- Customer care skills
- Problem solving skills
- Administrative skills
- Analytical skills
- Logical
- Team working
- Creative
- Patience
About this employer
5Values Consulting Group is a multi-brand recruitment and talent business operating across technology, media, and professional services. Our brands — 5V Tech, 5V Video, 5V Media, and 5V Velocity — serve clients globally from offices in the UK, US, Germany, and the Netherlands. We are a fast-growing, founder-led company that values innovation, accountability, and commercial impact.
https://www.weare5values.com/ (opens in new tab)
Company benefits
Healthy work-life balance:8:30 – 17:00 working hours
29 days holiday + bank holidays
1.5-hour lunch + additional breaks
No micromanagement—focus on self-accountability
After this apprenticeship
- Potential full-time position for the right candidate after completion of the apprenticeship
Ask a question
The contact for this apprenticeship is:
LEEP TALENT LIMITED
The reference code for this apprenticeship is VAC2000033314.
Apply now
Closes in 31 days (Monday 22 June 2026 at 11:59pm)