Key Accounts Apprentice
MENZIES DISTRIBUTION SOLUTIONS LIMITED
Coalville (LE67 1TT)
Closes in 11 days (Tuesday 31 March 2026)
Posted on 18 March 2026
Contents
Summary
With support, training and guidance, this role has responsibility for ensuring effective provision and continuity of best in class customer service. The job holder will ensure that the delivery of service is monitored and maintained to the levels defined within agreed SLA’s and contracts.
- Wage
-
£24,000 a year
- Training course
- Data technician (level 3)
- Hours
-
Days and shifts to be confirmed.
37 hours 30 minutes a week
- Start date
-
Monday 20 April 2026
- Duration
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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
- Build and maintain excellent internal and external customer relationships in order to develop a constantly improving service. By building trust and credibility, thoroughly understand the customers’ needs and their supply chain structure. Seek to identify and deliver organic growth opportunities with existing customers and drive for synergy benefits between customers
- Data analysis of existing business to audit customer contribution and identify continuous improvement initiatives
- Conduct data analysis to identify critical trends, correlations, and patterns. Translate these findings into actionable recommendations to optimise business performance, customer satisfaction and drive strategic growth
- Design, maintain, and update KPI dashboards for performance tracking. Work closely with internal departments to manage and update the weekly and monthly reports, including the creation of high-level presentation packs for monthly and quarterly business reviews (MBR/QBR)
- Maintain data records and thoroughly process documentation to ensure data accuracy and operational continuity
- Independently prioritise tasks and manage competing timelines to ensure all deliverables are met within agreed service level agreements (SLAs)
- Develop, implement and monitor of account management ensuring this is in place for all nominated accounts
- Improve revenue streams by defending and organically growing existing customer base in line with agreed budgets
- Deliver value to customers by widening MDS’s involvement across the supply chain
- Initiate and manage continuous improvement through cost reduction initiatives and margin improvement programs
- Thoroughly understand and be able to articulate SLA obligations
- Monitor operational metrics
- Lead and influence by demonstrating Health and Safety behaviours and MDS values
- Seek opportunities to raise the profile of Health and Safety across the business
- Seek opportunities for self-development
Where you'll work
4 Franks Road
Bardon Hill
Coalville
LE67 1TT
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 our Data Essentials apprenticeship?
QA’s Data Essentials Level 3 apprenticeship can support your business to be more productive with data and adapt to a modern-day workplace. Data available to organisations is increasing at scale. How your business leverages it is essential to successful transformation and continued growth.
QA's Data Essentials Level 3 apprentice will learn to:
- Source, format and present data securely, using Microsoft Excel, Power BI and SQL.
- Analyse structured and unstructured data to support business outcomes
- Blend data from multiple sources as directed
- Communicate outcomes appropriate to the audience
- Apply legal and ethical principles when manipulating data
QA’s Data Essential Level 3 apprenticeship programme enables your organisation to:
- Build the capabilities you need throughout your organisation to collect, study, organise and present data, increasing digital adoption and the provision of intelligent and valuable business insights
- Create and develop analysts for the modern workplace by reskilling your existing talent, or hiring new entry-level talent. QA’s programmes, partnerships and recruitment capability enable us to tailor a solution that works for your business
- Provide training that acts as a standalone solution or as part of a wider academy/programme to an array of business functions
Tools and technologies learned: Apprentices will learn to use Microsoft Excel and Power BI.
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
- Organisation skills
- Customer care skills
- Problem solving skills
- Driving licence & own car
Other requirements
Clean driving licence, as travel is essential.
About this employer
At Menzies Distribution Solutions, we connect suppliers, manufacturers and customers through reliable, flexible and sustainable logistics, driven by experience and a commitment to doing things the right way.
After this apprenticeship
90% of QA apprentices secure permanent employment after completing: this is 20% higher than the national average.
Ask a question
The contact for this apprenticeship is:
QA LIMITED
The reference code for this apprenticeship is VAC2000021937.
Apply now
Closes in 11 days (Tuesday 31 March 2026)
After signing in, you’ll apply for this apprenticeship on the company's website.