Systems and Data Analyst Apprentice

TC KENT LIMITED

Rochester (ME1 1UX)

Closes in 30 days (Saturday 30 August 2025)

Posted on 30 July 2025

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Summary

We have an exciting role for a Systems and Data Analyst Apprentice to join TC Kent in our Rochester office to start as soon as possible. This would be perfect for a school / college leaver looking to start your career.

Wage

£15,704 for your first year, then could increase depending on your age

National Minimum Wage rate for apprentices

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Training course
Data technician (level 3)
Hours
Monday to Friday, 40 hours per week. Shifts TBC.

40 hours a week

Start date

Monday 1 September 2025

Duration

2 years

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

You will be responsible for supporting one of the Accounts Department’s and undertaking tasks that:

  • Assist in the maintenance of the Department’s systems
  • Gathering, analysing and interpreting data to help inform decision making
  • Contribute to system improvement projects
  • Other ad hoc duties to support the Accounts Department

Where you'll work

Star House
Star Hill
Rochester
ME1 1UX

Training

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

Training provider

APPRENTICE TEAM LTD

Training course

Data technician (level 3)

Understanding apprenticeship levels (opens in new tab)

What you'll learn

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.

Training schedule

  • Full day-to-day training will be provided by the employer
  • This apprenticeship qualification is called L3 Data Technician
  • The learning will be delivered by dedicated, industry-specialist tutors via remote sessions
  • These sessions take place once or twice per month, for roughly 2 hours, at a time convenient for both you and the employer

Requirements

Essential qualifications

GCSE in:

  • ENGLISH (grade A-C / 9-4)
  • MATHS (grade A-C / 9-4)

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
  • Non judgemental
  • Patience
  • Physical fitness

About this employer

TC Group is the fastest-growing top 20 accountancy firm in the UK. As business advisers and accountants with over 30 years of experience, the firm has refined its expertise and expanded its range of services to provide a broader spectrum of tailored support and guidance to ambitious business owners and their enterprises.

Company benefits

Study support (apprenticeship), pension, life cover (4× salary), hybrid work post-apprenticeship, long service rewards, extra holiday after 5 years, social events, benefits portal, EAP, and ongoing training for career and personal growth.

After this apprenticeship

Potential progression within the business and onto further apprenticeships.

Ask a question

The contact for this apprenticeship is:

APPRENTICE TEAM LTD

Dylan Marshall

recruitment@apprenticeteam.org

01246 278 931

The reference code for this apprenticeship is VAC1000334528.

Apply now

Closes in 30 days (Saturday 30 August 2025)

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