Data Technician Apprenticeship

Summary

Are you ready to dive into the world of data and make an impact? As a Data Technician Apprentice at Scrap Local, you will play a crucial role in managing and analysing data across multiple business areas, including vehicle buying, parts inventory, digital sales, and customer interactions.

Wage: £14,526.20 a year
Minimum wage rates (opens in new tab)
Training course: Data technician (level 3)
Hours: Monday - Friday, 9.00am to 5.00pm.
37 hours a week
Possible start date: Saturday 19 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

Maintain and update databases, CRM systems, spreadsheets, and online records across various business operations.
Support performance tracking for online vehicle listings and sales channels.
Compile and present financial and operational data in reports and dashboards.
Assist in managing online vehicle and parts listings, ensuring accurate descriptions and high-quality images.
Help categorise and optimise products for digital sales and marketing purposes.
Liaise with customers, suppliers, and third-party partners to ensure data accuracy and documentation completion.

Where you’ll work

UNIT 9 RISING BRIDGE BUSINE

BLACKBURN ROAD

RISING BRIDGE

ACCRINGTON

BB5 2AL

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

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
Attention to detail
Problem solving skills
Analytical skills
Team working
A proactive mindset

Other requirements

Familiarity with CRM systems, or other data-handling tools (training will be provided).

About this company

This role offers the opportunity to develop a well-rounded skill set across data analytics, business operations, inventory management, and digital marketing. As the business grows, there may be opportunities to specialize in areas such as financial analysis, stock management, or digital performance optimisation.

After this apprenticeship

The successful candidate, upon completion, may be offered a full-time role.

Ask a question

The contact for this apprenticeship is:

NOWSKILLS LIMITED

The reference code for this apprenticeship is VAC1000304791.

Apply now

Closes in 24 days (Wednesday 19 March)

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After signing in, you’ll apply for this apprenticeship on the company's website.

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