IT Service Desk Analyst Apprentice

BODYCOTE PLC

MACCLESFIELD (SK10 2XF)

Closes in 27 days (Tuesday 21 July 2026)

Posted on 24 June 2026

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Summary

This role is designed to develop the technical, professional, and service management capabilities of an individual delivering supervised first‑line IT support.  

Wage

£18,000 a year

Minimum wage rates (opens in new tab)

£18,000 - £20,000 per annum

Training course
Data technician (level 3)
Hours
Monday - Friday, 9.00am - 5.00pm, with an hour’s unpaid lunch break

35 hours a week

Start date

Tuesday 28 July 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

  • Service desk support: Act as a first point of contact for IT support via phone and self‑service portal. Log, categorise, prioritise, and update incidents and service requests within the ITSM tool
  • Resolve common IT issues at first contact, following documented procedures. Escalate complex or unresolved issues in line with defined escalation paths. Ensure users are kept informed of progress in a professional and timely manner
  • Learning & apprenticeship commitment: Participate fully in the apprenticeship programme. Complete required learning activities, assessments, and reviews. Apply learning directly to day‑to‑day service desk activities. Use feedback constructively to improve performance and capability
  • Process, security & documentation: Follow approved standard operating procedures, runbooks, and working practices
  • Maintain accurate and complete ticket records. Contribute to knowledge articles as skills and confidence develop. Comply with information security, confidentiality, and data protection requirements
  • Team & professional behaviours: Work collaboratively with colleagues across the service desk and IT teams. Demonstrate professionalism, reliability, and a customer‑focused mindset. Show willingness to ask questions and seek support when required

Where you'll work

SPRINGWOOD COURT
SPRINGWOOD CLOSE
TYTHERINGTON BUSINESS PARK
MACCLESFIELD
SK10 2XF

Training

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

Training provider

QA 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

Why choose AI & Digital Support?

This programme brings together AI, Microsoft Copilot and broader digital skills to provide support and advice to users across a wide range of business software and Generative AI applications, enhancing digital transformation and increasing AI literacy across your organisation.

  • Accelerate AI adoption
  • Streamline productivity
  • Champion innovation

The AI & Digital Support programme integrates live and online workshops with self-paced learning, employing a guided discovery approach for individual learner contexts.

Learners are assigned a Digital Learning Consultant (DLC) for personalised coaching and support. These specialists ensure their successful progress, wellbeing, and readiness for assessments.

Apprentices will learn to use a variety of tools and technologies, including:

  • Microsoft 365
  • Microsoft Copilot
  • SaaS (Software as a Service) applications.

Requirements

Essential qualifications

GCSE in:

  • 3 of any subject (grade 4+ (A* - C))
  • Maths & English (grade 3+ (D or above))

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
  • Organisation skills
  • Customer care skills
  • Problem solving skills

About this employer

We are a leading, global performance metallurgy business, improving properties and extending lives of our customers’ products through advanced thermal and surface processing. Bodycote offers materials solutions for virtually every market sector with a focus on aerospace and defence, automotive, energy, industrial, consumer and medical.

Company benefits

  • A range of exciting benefits are available!

After this apprenticeship

Your earnings can increase over time with an apprenticeship. Find out about potential future pay (opens in new tab).

  • On successful completion of the apprenticeship, the individual may progress into an IT Service Desk Analyst role, subject to performance and business need

Ask a question

The contact for this apprenticeship is:

QA LIMITED

The reference code for this apprenticeship is VAC2000038874.

Apply now

Closes in 27 days (Tuesday 21 July 2026)

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