ACCA Finance Analyst Apprenticeship
UK Docks Marine Services
UK (NE33 1LH)
Closes in 16 days (Tuesday 16 December 2025)
Posted on 25 November 2025
Contents
Summary
Are you looking to build a long-term career in Finance? Then look no further! Start your career today with a Level 3 apprenticeship with UK Docks Marine Services and Kaplan. You will be gaining valuable workplace experience whilst working towards the Finance Analyst apprenticeship.
- Wage
-
£17,000 a year
Check minimum wage rates (opens in new tab)
Please note, the salary is £17,000 - £19,000 depending on qualifications and experience.
- Training course
- Data technician (level 3)
- Hours
-
Monday - Friday, Shifts to be confirmed.
39 hours a week
- Start date
-
Monday 2 February 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
Key responsibilities:
- New Business Software (Sage Intact) implementation project team member - possible lead for dashboard / report creation
- Developing into the accounts lead for smaller entities within the Group
- Processing all entries for these companies
- Some core data entry and reconciliations (ie bank/Sales and Purchase ledgers)
- Various Ad Hoc analysis as required
- Fixed Asset accounting, and maintaining registers
- Various journal entries and reconciliations (part of month end work)
- Support for Group numbers -eg. Related party/group matrix at month end
Where you'll work
River Drive
South Shields
UK
NE33 1LH
Training
Apprenticeships include time away from working for specialist training. You’ll study to gain professional knowledge and skills.
Training provider
KAPLAN FINANCIAL 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
- Our Finance Analyst Apprenticeship programme integrates eight modules of technical training with work based projects. This ensures that learning and skills are directly applied to the apprentice’s role, and maximises the time used as part of off-the-job training
- As an evolution of the Data User apprenticeship, this industry tailored programme is the first of its kind to combine essential data skills and competencies with core accountancy knowledge for those working in a finance function, but not necessarily in an accounting role. It offers your employees the unique opportunity to be equipped with relevant skills to directly apply their learning in the workplace and unlock potential from your data
- As well as developing technical skills using a range of core technologies and platforms, your employees will develop the ability to source, analyse, work with financial data, and generate insights that underpin business decisions to build a case for change
Requirements
Essential qualifications
GCSE or equivalent in:
- Basic Maths (grade 9/A* - 4/C)
- Standard English (grade 9/A* - 4/C)
A Level or equivalent in:
Share if you have other relevant qualifications and industry experience. The apprenticeship can be adjusted to reflect what you already know.
Skills
- Communication skills
- Attention to detail
- Organisation skills
- Problem solving skills
- Administrative skills
- Number skills
- Analytical skills
- Logical
- Team working
- Initiative
Other requirements
Please note, the salary is £17,000 - £19,000 depending on qualifications and experience. Benefits include: 23 Days holiday (increasing to 25 on length of service). Std Pension Contributions. Working hours: 8am-4.30pm Mon-Thu, 8am - 3.30pm Fri
About this employer
UK Docks Marine Services is a family owned ship repair and maintenance provider, with its head office based in South Tyneside. The business currently has 5 geographical locations in the UK, but also operates globally as a provider to private and commercial vessels.The owners of the business have one several awards for being a family business, and is keen supporter of Apprentice development.
After this apprenticeship
- Fantastic opportunities, in a growing Group
Ask a question
The contact for this apprenticeship is:
KAPLAN FINANCIAL LIMITED
The reference code for this apprenticeship is VAC2000001881.
Apply now
Closes in 16 days (Tuesday 16 December 2025)
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