Data Administration Apprentice

Mentor Distribution Ltd

HENLOW (SG16 6DS)

Closes on Tuesday 23 June 2026

Posted on 24 April 2026

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Contents

Summary

We are seeking a highly organised, driven, and hardworking individual to join our team as a Sales Support / Data Admin Apprentice. This is an excellent opportunity for someone looking to build a career in data, operations, and commercial support within a fast-paced distribution environment.

Wage

£16,500 a year

Check minimum wage rates (opens in new tab)

Training course
Data technician (level 3)
Hours
Monday to Friday, 9.00am - 5.00pm.

37 hours 30 minutes a week

Start date

Wednesday 24 June 2026

Duration

1 year 5 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

You will play a key role in supporting the sales team, ensuring customer orders are processed efficiently and accurately, while also producing valuable data insights to help identify customer needs and improve business performance.

You will need to be able to commute between Henlow and Stevenage on a regular basis. Therefore, the ability to drive with access to your own car is essential for this role.

What will the apprentice be doing?

  • Ensuring clients receive support, product, and service in a timely manner
  • Assist the sales team with daily operations, including managing schedules, preparing sales documents, and updating customer records
  • Handle customer inquiries via phone, email, and chat, providing timely and accurate information
  • Prepare and process sales orders, ensuring all information is accurate and up-to-date
  • Coordinate with other departments to ensure timely delivery of products and services to customers
  • Maintain and update the customer database with current information and interactions
  • Generate sales reports and analyse data to support the sales team in identifying trends and opportunities
  • Assist in the preparation and execution of sales presentations and proposals
  • Support marketing initiatives by assisting with the coordination of promotional activities and events
  • Manage inventory levels and coordinate with suppliers to ensure product availability
  • Provide administrative support to the sales team, including arranging meetings, travel, and accommodations

Desired Personal Qualities

  • Strong Microsoft Office skills (Outlook, Word, Excel)
  • Clear and professional telephone manner
  • Confident communicator with strong skills both verbal and written
  • Able to build trust and rapport by applying tone and appropriate language to deliver range of verbal and written communications
  • Can demonstrate creative and positive attitude to problem solving, enjoys change and challenge
  • Ability and confidence to work on own initiative. Able to prioritise a busy and varied workload and to work quickly and accurately and to manage own deadlines
  • Highly organised with strong attention to detail
  • Self-motivated, driven, and eager to learn
  • A strong work ethic and willingness to take initiative
  • Good numerical and analytical skills

Where you'll work

SYSTEMS HOUSE
UNIT 23
HENLOW CAMP TRADING ESTATE
HENLOW
SG16 6DS

Training

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

Training provider

SOLVEWAY LIMITED

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

Expected Apprenticeship Duration: 14 months + 3 months EPA.

Blend of eLearning and classroom training based on:

  • CompTIA Data+
  • CompTIA/TestOut Pro Certified Microsoft Excel
  • Microsoft Power BI

Includes elements of business administration (Project management, stakeholders, communication and presentations). Training Biweekly classes (length 3 hours) alternating between Data+ and Excel/Power BI (NB: Exams optional).

Requirements

Essential qualifications

GCSE in:

  • English (grade 4)
  • Maths (grade 4)

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
  • Presentation skills
  • Administrative skills
  • Number skills
  • Analytical skills
  • Logical
  • Team working
  • Creative
  • Initiative
  • Non judgemental
  • Patience
  • Reliability
  • Maturity

About this employer

Mentor Distribution is a specialist AV and display distributor operating across the UK and Ireland, with over 30 years of industry experience. We supply a wide range of products — including monitors, large format and interactive displays, LED video walls, and Pro-AV solutions — from leading global manufacturers.

With large warehouses in Bedfordshire and Dublin, we offer extensive stock with next-day delivery across both regions. Our experienced team provides expert advice and hands-on account management, helping resellers win business and deliver outstanding results.

As part of the wider Mentor Distribution Group, we’re proud to be a trusted partner in the AV and IT distribution market.

https://mentor-distribution.co.uk/ (opens in new tab)

After this apprenticeship

  • We are looking to offer full-time employment upon successful completion of the apprenticeship
  • We believe in developing our talent internally and have a clear and personalised progression route for each of our employees which is reviewed annually

Ask a question

The contact for this apprenticeship is:

SOLVEWAY LIMITED

The reference code for this apprenticeship is VAC2000026573.

Apply now

Closes on Tuesday 23 June 2026

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