Data Technician Apprenticeship

Wise Origin

Newark (NG22 9YU)

Closes in 16 days (Friday 20 March 2026 at 11:59pm)

Posted on 2 March 2026

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Summary

This apprenticeship gives you hands‑on data experience across sales, production, logistics and more, from Excel analysis to Power BI updates and real operational tasks. It’s perfect for someone organised, detail‑driven and ready to build strong, career‑boosting skills.

Wage

£15,392 a year

Check minimum wage rates (opens in new tab)

Training course
Data technician (level 3)
Hours
Monday - Thursday, 9.00am - 5.00pm and Friday, 9.00am - 4.30pm

37 hours a week

Start date

Monday 30 March 2026

Duration

1 year 6 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

Key Responsibilities:

Data Entry:

  • Enter orders into the production system
  • Record Material Sample requests
  • Record dispatched orders
  • Record production data (e.g., scrap quantities)

Data Analysis:

  • Sales: Analyse volume by product, finish, region, and showroom
  • Logistics: Review expenses against receipts to support carriage charge analysis
  • Production: Identify and analyse reasons for scrap
  • Procurement: Review frequency of orders and identify opportunities to streamline processes

Reporting & Dashboard Updates:

  • Update the Sales Power BI Dashboard
  • Generate reports for Sales, Production, and Finance using Excel data

Operational & Administrative Support:

  • Fulfil weekly order requests to maintain stock levels in production and the office
  • Schedule deliveries with DHL and other couriers
  • Label samples and prepare packaging for customer dispatch
  • Assist with receiving inbound phone calls
  • Perform general ad‑hoc clerical tasks as required

Where you'll work

2 Meden Court
Boughton
Newark
NG22 9YU

Training

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

Training provider

LEARNING FOR FUTURES 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.
  • 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.

Training schedule

  • 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

Requirements

Essential qualifications

GCSE in:

Maths and English (grade (Grade A-C or 4-9))

Share if you have other relevant qualifications and industry experience. The apprenticeship can be adjusted to reflect what you already know.

Skills

  • Communication skills
  • IT skills
  • Attention to detail
  • Organisation skills
  • Customer care skills
  • Problem solving skills
  • Analytical skills
  • Logical
  • Time Management
  • Skilled user MS Office

Other requirements

  • Full Driving licence with access to own vehicle - essential 

About this employer

Wise Origin is a national training provider which was established in 2006. We deliver further education and provide employment opportunities through our Apprenticeship Programmes and other funded provisions. We specialise in IT, Digital & Data Apprenticeships and our aim is to help businesses and individuals make wise decisions for better futures.

After this apprenticeship

  • Progression opportunities for the right candidate 

Ask a question

The contact for this apprenticeship is:

LEARNING FOR FUTURES LTD

The reference code for this apprenticeship is VAC2000018184.

Apply now

Closes in 16 days (Friday 20 March 2026 at 11:59pm)