Posh Design

Posh Design is a Birmingham bespoke interiors studio. Kitchens, bedrooms, media walls and bespoke furniture, hand-built in our own workshop and finished to last.

Wage £17,550 a year

Minimum wage rates (opens in new tab)

Training course Data technician (level 3)

Hours Monday - Friday (9:00 - 17:00) 37 hours 30 minutes a week

Start date Monday 12 October 2026

Duration 1 year 3 months

Positions available 1

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About the Role

Most of your apprenticeship is spent working. You’ll learn on the job by getting hands-on experience.

What you'll do at work

We are looking for a proactive and detail-driven Data Technician Clerk to join our growing company. This role is ideal for someone who is organised, confident with technology, and eager to develop their skills as part of a fast-moving team.

You will play a key part in:

• maintaining accurate records
• supporting daily operations
• helping improve how we manage information across the business

Where you'll work

Unit 5B Waterside Business Park, 1651 Pershore Road
Birmingham
B30 3DR

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Training

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

Training provider

METAGEDU APPRENTICESHIPS LTD

Training course

Data technician (level 3)
[Understanding apprenticeship levels](opens in new tab)

What you'll learn

Course contents

• Select and migrate data from already identified sources.
• Format and save datasets.
• Summarise, analyse and explain gathered data.
• Combine data sets from multiple sources and present in format appropriate to the task.
• Use tools and/or apply basic statistical methods to identify trends and patterns in data.
• Identify faults and cleanse data to improve data quality, for example identifying gaps, duplicate entries, outliers and unusual variances, including cross-checking across data elements or between data sources.
• Audit data results for maintenance of data quality, reviewing a data set once all sources are combined, to ensure accuracy, completeness, consistency and traceability from original data.
• Demonstrate the different ways of communicating meaning from data in line with audience requirements.
• Produce clear and consistent documentation of the data provided to others and of actions completed. Where appropriate or mandated by the working context, this documentation should use standard organisational templates.
• Store, manage and distribute data in compliance with organisational, national, sector specific standards and or legislation.
• Considers sustainability and ways to reduce impact. For example, using cloud storage, sharing links to files, avoid storing multiple versions of files, and reducing the use of physical handouts of documentation.
• Parse data against standard formats, and test and assess confidence in the data and its integrity.
• Operate collaboratively in a working context that accounts for, and takes advantage of, the roles, skills and activities of others, especially those interacting with the same data sets or working towards a common goal.
• Prioritise own activities within the context of the duties to be performed, taking account of any known or expected impact on others.
• Follows equity, diversity and inclusion policies in the organisation for a common goal.
• Demonstrate the ability to use different tools and methods to formulate and utilise effective prompts to research, apply, and evaluate data transformation techniques.