Data Apprentice

Summary

You will be responsible for the analysis of quantitative survey data, investigating the effectiveness of specific client advertising campaigns. A key part of the job role involves ensuring that returned data is properly processed and analysed, and compiling data outputs into reports on a regular basis.

Wage

£16,000 a year

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Training course

Data technician (level 3)

Hours

Days and shifts to be confirmed.

37 hours 30 minutes a week

Start date

Friday 18 July 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

Transforming Word-based questionnaires into online survey formats using appropriate tools
Producing accurate and well-formatted Excel tables from survey data in line with specified requirements
Conducting quality assurance (QA) checks on data outputs produced by team members to ensure accuracy and consistency
Collaborating with external partners to source and engage survey respondents
Identifying and cleansing inaccurate or poor-quality data from survey responses to maintain data integrity
Preparing and delivering clear, insightful reports to internal stakeholders to support data-driven decision-making
Liaising with internal stakeholders to address and resolve project-related queries and issues
Actively participating in regular one-to-one meetings with the line manager and contributing to team meetings

Where you'll work

Toffee Factory Lower Steenbergs Yard
Quayside
Ouseburn, Walker Road
Newcastle Upon Tyne
NE1 2DF

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

Attention to detail
Organisation skills
Number skills
Analytical 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 30,000 successful apprenticeship graduates, we're a top 50 training provider, dedicated to helping you succeed. Interested? Apply now!

About this company

Differentology is a new breed research company, using technology to gain insights. We have an enviable client list, including Samsung, The Times, BSkyB and Santande to name a few. You will join a small team of experienced professionals who have built up a reputation for delivering some of the most high profile and innovative projects in media.

Company benefits

Hybrid working (3-days per week office-based). Private health care with Vitality. Free parking. Two subsidised company social events per year. Extended benefits after first year (bonus scheme, etc).

After this apprenticeship

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

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