Data Operations Co-ordinator Apprentice

Summary

You will have the opportunity to gain valuable skills, knowledge and experience as you complete a Data Technician - Level 3 Apprenticeship. Duties will include Data Management & Analysis: Assist with data collection, input, and analysis to improve project operations and accuracy.

Wage

£20,000 a year

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Training course

Data technician (level 3)

Hours

All details will be confirmed at interview

40 hours a week

Start date

Tuesday 27 May 2025

Duration

1 year 4 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

Project & Resource Coordination: Support planning and tracking of renewable energy installations using digital tools
Scheduling & Administration: Use data insights to schedule engineers and manage workflows efficiently
Stock & Inventory Monitoring: Track stock usage trends to support procurement decisions
Customer & Stakeholder Communication: Handle inquiries, provide updates, and maintain records with digital tools
Reporting & Process Improvement: Generate reports, analyse trends, and suggest process improvements
Digital Tools & Data Skills: Learn Trello, Slack, and field management software for business operations
Industry & Problem-Solving Skills: Gain knowledge of renewable energy operations and data-driven decision-making

Where you’ll work

The Cattle Shed Maryholme
Hallbankgate
Brampton
Cumbria
CA8 2NE

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)

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

Why choose our Microsoft Data Essentials apprenticeship?

QA’s Microsoft 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 Microsoft 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 Microsoft 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 Power BI, Excel and SQL Azure.

Requirements

Essential qualifications

GCSE in:

any 3 subjects (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
Team working
Non judgemental

About this company

AB Energy Centre Ltd is a family-owned leader in renewable energy systems services, with a strong track record since 2010. We are one of the UK’s longest-serving renewable energy businesses, focused on innovation and technology to improve business operations. We value work-life balance and offer flexible working opportunities to our team members.

Company benefits

Full-time apprenticeship with hands-on learning in a fast-growing industry. Training and mentorship from experienced professionals. Competitive apprenticeship salary. Flexible working arrangements to support work-life balance.

After this apprenticeship

90% of QA Apprentices secure permanent employment after finishing their apprenticeship. Additionally, there may be opportunities to undertake further apprenticeship training as many of our programs offer on-going development tracks.

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