Transactional Finance Apprentice - Hybrid

Citizen Housing

UK, B37 7YN

Closes today

Posted on 5 September 2024

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Contents

Summary

Are you looking to build a long-term career in Data? Start your career today with a Finance Data Technician Level 3 Apprenticeship with Citizen and Kaplan. You will be gaining valuable workplace experience while working towards the qualification.

Annual wage
£12,314 a year

Minimum wage rates (opens in new tab)

salary range is between £12,314 and £22,011

Training course
Data technician (level 3)
Hours
Shifts to be confirmed

37 hours a week

Possible start date

Tuesday 1 October

Duration

1 Year 6 Months

Positions available

1

Work

As an apprentice, you’ll work at a company and get hands-on experience. You’ll gain new skills and work alongside experienced staff.

What you’ll do at work

  • Processing of purchase/sales invoices and ensuring accuracy
  • Match invoices to purchase orders and goods receipt notes
  • Input banking data into the accounting and rent systems
  • Reconcile supplier and customer statements and resolve discrepancies
  • Cash allocation and invoice matching to customer accounts
  • Reconciliation of bank accounts and correct appropriation of funds
  • Support the finance team with month-end procedures
  • Communicate with suppliers and internal departments to resolve queries
  • Maintain accurate and up-to-date records

Where you’ll work

4040 Lakeside, Solihull Parkway

Birmingham

UK

B37 7YN

Training

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.

College or training organisation

KAPLAN FINANCIAL LIMITED

Your training course

Data technician (level 3)

Equal to A level

Course contents
  • Source and migrate data from already identified different sources.
  • Collect, format and save datasets.
  • Summarise and explain gathered data.
  • Blend data sets from multiple sources and present in format appropriate to the task.
  • Manipulate and link different data sets as required.
  • Use tools and techniques to identify trends and patterns in data.
  • Apply basic statistical methods and algorithms to identify trends and patterns in data.
  • Apply cross checking techniques for identifying faults and data results for data project requirements.
  • Audit data results.
  • Demonstrate the different ways of communicating meaning from data in line with audience requirements.
  • Produce clear and consistent technical documentation using standard organisational templates.
  • Store, manage and distribute in compliance with data security standards and legislation.
  • Explain data and results to different audiences in a way that aids understanding.
  • Review own development needs.
  • Keep up to date with developments in technologies, trends and innovation using a range of sources.
  • Clean data i.e. remove duplicates, typos, duplicate entries, out of date data, parse data (e.g. format telephone numbers according to a national standard) and test and assess confidence in the data and its integrity.
  • Operate as part of a multi-functional team.
  • Prioritise within the context of a project.
  • Source and migrate data from already identified different sources.
  • Collect, format and save datasets.
  • Summarise and explain gathered data.
  • Blend data sets from multiple sources and present in format appropriate to the task.
  • Manipulate and link different data sets as required.
  • Use tools and techniques to identify trends and patterns in data.
  • Apply basic statistical methods and algorithms to identify trends and patterns in data.
  • Apply cross checking techniques for identifying faults and data results for data project requirements.
  • Audit data results.
  • Demonstrate the different ways of communicating meaning from data in line with audience requirements.
  • Produce clear and consistent technical documentation using standard organisational templates.
  • Store, manage and distribute in compliance with data security standards and legislation.
  • Explain data and results to different audiences in a way that aids understanding.
  • Review own development needs.
  • Keep up to date with developments in technologies, trends and innovation using a range of sources.
  • Clean data i.e. remove duplicates, typos, duplicate entries, out of date data, parse data (e.g. format telephone numbers according to a national standard) and test and assess confidence in the data and its integrity.
  • Operate as part of a multi-functional team.
  • Prioritise within the context of a project.

    • Your training plan

    • Data Technician Level 3 Apprenticeship. If you need to unlock and better communicate the data and technology you have at your disposal, this apprenticeship will help your employees become more data literate to understand insights, create transformation, and give you the competitive edge. With sharp analysis at its heart, a Kaplan Data Literacy apprenticeship is anything but standard
    • As well as developing technical skills using a range of core technologies and platforms, we support our learners to weave together the ability to source, analyse, work with data, and generate insights that underpin business decisions.
    • Our Data Literacy apprenticeship programme integrates five 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
    • The modules include: Microsoft Office Specialist: Excel Associate Data Literacy Data Analysis and Visualisation

    Requirements

    Essential qualifications

    GCSE or equivalent in:

    • Maths (grade 9/A*-5/B)
    • English (grade 9/A*-5/B)

    Let the company know about other relevant qualifications and industry experience you have. They can adjust the apprenticeship 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

    Other requirements

    Benefits include; Annual leave starting at 25 days per year plus bank holidays and increases with length of service. Annual leave purchase scheme – option to buy up to an additional 5 days per year. Enhanced family leave (maternity, paternity and adoption) Organisational Sick Pay. Generous Pension Scheme – The option to contribute 4%, 6% or up to 10% which Citizen will match. Life cover of three times your annual salary if you join the pension scheme. Free car parking. Please note this is a hybrid role with 2 Days in the office and the salary range is between £12,314 and £22,011

    About this company

    Working for Citizen not only offers you the chance to work for an award-winning, big-hitting organisation in the West Midlands, it gives you the opportunity to work for an organisation with a heart and a clear social purpose.

    After this apprenticeship

    • Career development opportunities within the company

    Ask a question

    The contact for this apprenticeship is:

    KAPLAN FINANCIAL LIMITED

    The reference code for this apprenticeship is VAC1000275276.

    Apply now

    Closes today

    When you apply, you’ll be asked to sign in with a GOV.UK One Login. You can create one at the same time as applying for this apprenticeship.

    After signing in, you’ll apply for this apprenticeship on the company's website.