Data Technician Level 3 Apprenticeship

Summary

The successful candidate will join our team to support our newly appointed workshop manager in ensuring seamless daily operations. Acting as a vital link between customers and engineers, you will need to facilitate clear communication and coordination within the team, while ensuring that all customer interactions are proactive and professional.

Wage: £20,000 a year
Minimum wage rates (opens in new tab)
Training course: Data technician (level 3)
Hours: Monday - Friday, 9.00am - 5.00pm.
37 hours 30 minutes a week
Possible start date: Thursday 3 April
Duration: 1 year 4 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

Customer Interaction - Handle incoming calls from customers, addressing their inquiries and providing updates.

Engineer Liaison - Liaise with engineers to exchange job updates and ensure effective collaboration.
Job Scheduling – Entering job information onto the works operating systems.
Quote Handling - Organise and deliver customer quotes, working with management to ensure accuracy and timely follow-up.
Supply Chain Facilitation/Administration - Order necessary supplies and equipment to maintain workshop efficiency.
Data Handling – Working along side management to collect data to improve workshop efficiency.

Where you’ll work

429 BOWLING OLD LANE

BRADFORD

BD5 8HN

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

NOWSKILLS 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

This training plan has not been finalised. Check with this employer if you’ll need to travel to a college or training location for this apprenticeship.

Requirements

Essential qualifications

GCSE in:

English (grade 4)
Maths (grade 4)

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
Analytical skills
Team working
Experience working with Excel

About this company

Our company, Bradford Armature Winding Co (BAWCo) is a SME with a long and successful history in electrical engineering. Our client base is mainly in the UK and includes such industries as chemicals, pharmaceuticals, polymers, quarrying, food and beverage, brewing, utilities and more. In recent years we have become increasingly involved with renewables and Green Energy.

https://bawco.com/ (opens in new tab)

Company benefits

Hands-on training and development. A collaborative and positive working environment, with close support from the workshop manager. Opportunities for career progression and growth within the company.

After this apprenticeship

The successful candidate, upon completion, may be offered a full-time role within the Data team.

Ask a question

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