Finance Data Apprentice

Summary

You will be responsible for a blend of general office administration and finance related data tasks. Your duties will include supporting daily office functions, assisting with administrative tasks, and contributing to data entry, reporting and analytical activities to ensure smooth and efficient business operations.

Wage

£16,000 a year

Check minimum wage rates (opens in new tab)

£16,000 - £18,000 per annum

Training course

Data technician (level 3)

Hours

Monday to Friday 9am- 5pm Including 1 hour lunch break

35 hours a week

Start date

Wednesday 13 August 2025

Duration

1 year 5 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

Manage office supplies, equipment and general upkeep
Handle incoming calls, emails and correspondence
Schedule meetings, maintain calendars and support event coordination
Assist with document preparation, filing and record keeping
Support Finance and Leadership teams with administrative tasks
Enter, update and maintain accurate data in internal systems
Assist in preparing reports, spreadsheets and presentations
Perform basic data analysis and quality checks
ISO tasks

Where you'll work

14 Doncaster Road
Goldthorpe
Rotherham
South Yorkshire
S63 9NF

Training

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

College or training organisation

QA LIMITED

Your 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.

Your training plan

Why choose our Data Essentials apprenticeship?

QA’s Data Essentials Level 3 apprenticeship can support your business to be more productive with data and adapt to a modern-day workplace. Data available to organisations is increasing at scale. How your business leverages it is essential to successful transformation and continued growth.

QA's Data Essentials Level 3 apprentice will learn to:

Source, format and present data securely, using Microsoft Excel, Power BI and SQL
Analyse structured and unstructured data to support business outcomes
Blend data from multiple sources as directed
Communicate outcomes appropriate to the audience
Apply legal and ethical principles when manipulating data

QA’s Data Essential Level 3 apprenticeship programme enables your organisation to:

Build the capabilities you need throughout your organisation to collect, study, organise and present data, increasing digital adoption and the provision of intelligent and valuable business insights
Create and develop analysts for the modern workplace by reskilling your existing talent, or hiring new entry-level talent. QA’s programmes, partnerships and recruitment capability enable us to tailor a solution that works for your business
Provide training that acts as a standalone solution or as part of a wider academy/programme to an array of business functions

Tools and technologies learned: Apprentices will learn to use Microsoft Excel and Power BI.

Requirements

Essential qualifications

GCSE in:

3 of any subject (grade 4+ (A* - C))
Maths & English (grade 3+ (D or above))

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
Customer care skills
Problem solving skills

Other requirements

About QA: Our apprenticeships are the perfect way to gain new skills, earn while you learn, and launch yourself into an exciting future. With over 50,000 successful apprenticeship graduates, we're a top 50 training provider, dedicated to helping you succeed. Interested? Apply now!

About this company

At IT Desk UK we believe that world class technology and support should be accessible to all businesses. We serve over 100 customers of varying sizes and requirements, across many different sectors. Technology plays a critical role for every one of these clients: it has the power to support their growth and unlock efficiencies and profitability. We see our role as enabling those improvements, delivering IT solutions that transform our client’s business.

Company benefits

Vitality health insurance. Working from home after initial probation passed. Free tea, coffee, cold drinks, and breakfast snacks provided. Spill mental health support. Investors in People accredited. Reward and recognition schemes.

After this apprenticeship

90% of QA apprentices secure permanent employment after completing: this is 20% higher than the national average

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