Finance Assistant Apprentice

AAZIZ & CO LTD

London (SW16 5HR)

Closes in 19 days (Wednesday 15 October 2025 at 11:59pm)

Posted on 24 September 2025


Summary

Store, Manage and handle Client Data Assist in Bookkeeping and reconciliation (Company exposure) Learn and apply UK accounting software.

Training course
Data technician (level 3)
Hours
Monday - Friday (9;00am - 5:30pm). Shifts TBC.

37 hours 30 minutes a week

Start date

Monday 20 October 2025

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

DUTIES AND RESPONSIBILITIES:

  • Reception and Client handling
  • Assist in Bookkeeping and reconciliation (Company exposure)
  • Preparing accounts and financial statements
  • Learn and apply UK accounting software
  • Handle client communication Via Telephone and email
  • Store, Manage and handle Client Data

Where you'll work

2 Sanders Parade Greyhound Lane Streatham
London
SW16 5HR

Training

Apprenticeships include time away from working for specialist training. You’ll study to gain professional knowledge and skills.

Training provider

JUST IT TRAINING 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

  • An apprenticeship includes regular training with a college or other training organisation
  • At least 20% of your working hours will be spent training or studying
  • 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 C/4 +)
  • Maths (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
  • Presentation skills
  • Administrative skills
  • Number skills
  • Analytical skills
  • Logical
  • Team working
  • Creative
  • Initiative
  • Motivated
  • Positive attitude
  • Excel
  • Excellent time management

About this employer

We are a team of Chartered accountants and legal consults for all aspects of Accountancy, Taxation, Commercial lease, Legal business acquisition, mergers and sales transactions. We are based in South London (Streatham), providing comprehensive and professional accountancy services and Tax advice and practical support to local small and medium businesses alike. Our team of accounts have valuable experience in advising monitoring and cocoordinating with clients to make sure all necessary requirements are fulfilled. We deal with every aspect of your tax, ranging from preparation and submission of self-assessments tax returns. We are looking for a finance assistant that is looking to kick start their finance/accountancy career.

Company benefits

• Sick Pay • 28 Days Annual leave including bank Holidays • Snacks provided at Lunch time • Ability to gain government funded Data qualification – Clear Progression path • Overtime pay if completed

After this apprenticeship

An apprenticeship includes regular training with a college or other training organisation. At least 20% of your working hours will be spent training or studying.

Ask a question

The contact for this apprenticeship is:

JUST IT TRAINING LIMITED

Hello@justit.co.uk

The reference code for this apprenticeship is VAC1000343616.

Apply now

Closes in 19 days (Wednesday 15 October 2025 at 11:59pm)

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