Data Management Apprentice

MBA INFORMATION TECHNOLOGY LTD

ENGLAND (EC1R 0NE)

Closes in 17 days (Wednesday 12 November 2025)

Posted on 21 October 2025

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Summary

You will undertake sales administration tasks to support the Sales Team to sell more widely within new and existing customers while embodying our core values – outstanding customer service, trusted, driven, personal. The Customer Success Team supports the sales team in smoothly running sales operations.

Wage

£21,000 a year

Check minimum wage rates (opens in new tab)

Training course
Data technician (level 3)
Hours
Days and shifts to be confirmed.

40 hours a week

Start date

Wednesday 19 November 2025

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

  • Data management & reporting: Access, validate, and maintain accurate customer and order data within Salesforce CRM to ensure seamless order processing.
  • Data insights: Use sales data and Power BI reports to monitor customer spend, identify trends, and provide actionable insights to key stakeholders and internal stakeholders.
  • Customer order tracking: Create and share order tracking reports from CRM data to keep customers informed and ensure transparency throughout the order lifecycle.
  • Operational & administrative support: Manage quoting, ordering, bids, and deal registrations with precision and efficiency.
  • Client & vendor communication: Liaise with clients, vendors, and distributors to coordinate quotes, orders, and delivery, resolving issues quickly and professionally.
  • Account manager partnership: Support Strategic Account Managers in achieving profit goals through accurate data, reporting, and operational support.
  • Customer experience excellence: Deliver outstanding service in line with MBA’s values, ensuring timely, courteous, and professional communication.
  • Continuous improvement: Use data insights to identify process efficiencies, improve service delivery, and uphold supplier SLA performance.

Where you'll work

FINSBURY BUSINESS CENTRE
40 BOWLING GREEN LANE
LONDON
ENGLAND
EC1R 0NE

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

  • Communication skills
  • Attention to detail
  • Organisation skills
  • Team working

About this employer

MBA Information Technology is a UK-based managed service provider and IT consultancy, delivering hardware, software, and strategic technology solutions to mid-sized businesses. Founded in 2005, the company specialises in areas like cybersecurity, cloud services, automation, and end-user productivity. It is known for its consultative approach and focus on long-term client relationships.

Company benefits

Pension contribution. Lunch provided by company on Thursdays. Company-wide trip to Spain for a long weekend every June. Xmas party. All staff have birthdays off. Company socials. Flexible home and office working.

After this apprenticeship

Upon completion of the apprenticeship, there is the opportunity to stay on as a full-time employee.

Ask a question

The contact for this apprenticeship is:

QA LIMITED

The reference code for this apprenticeship is VAC1000347520.

Apply now

Closes in 17 days (Wednesday 12 November 2025)

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