Data & Business Administrator Apprentice

FOURTEEN (NORTH WEST) LTD

ENGLAND (BL1 2HB)

Closes in 30 days (Thursday 23 July 2026)

Posted on 23 June 2026

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Summary

Thebestofnorthwest is a leading business marketing, networking, and community platform dedicated to helping local businesses grow across the North West. We champion trusted businesses through innovative marketing, high-profile events, strategic networking opportunities, and strong community connections.

Wage

£15,600 for your first year, then could increase depending on your age

National Minimum Wage rate for apprentices

Minimum wage rates (opens in new tab)

Training course
Data technician (level 3)
Hours
Monday to Friday 9am to 5pm.

37 hours 30 minutes a week

Start date

Friday 24 July 2026

Duration

1 year 4 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

  • Researching suppliers.
  • Liaising with customers and 3rd party suppliers to ensure all documentation is completed and uploaded onto the system.
  • Maintaining databases, CRM systems, spreadsheets, and online documents.
  • Working to tight deadlines.
  • General office administration duties.
  • Analysing Data across multiple sources and platforms.
  • Product categorising.
  • Data Entry.
  • Analysing Financials presenting findings.
  • Handle data in several applications and troubleshoot issues.
  • Source & collate data.
  • Present & blend data.
  • Maintain impeccable communication methods, formats, and techniques.
  • Filter details, focusing on information relevant to the project.
  • Compile and format data using industry best practices.
  • AI and Automation implementation across departments.

Where you'll work

CROFT HOUSE
ST GEORGES SQUARE
BOLTON
ENGLAND
BL1 2HB

Training

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

Training provider

NOWSKILLS 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

Off-the-job training (OTJ): As part of their apprenticeship, apprentices are entitled to a minimum of 6 hours per week of paid OTJ training. During their OTJ time allocated by their employer, apprentices will complete coursework, attend training, and study.

Timeline & learner journey

Within 4-6 weeks of beginning work, your Tutor will make contact by email with you and your and Mentor to arrange a mutually convenient Induction date. Subsequent 1:1 Training and review sessions will take place monthly either at the employers premises or as a live virtual meeting.

You will also attend 6 live virtual training sessions via Zoom. Dates will be confirmed during Induction. These training sessions are live, online and take place Monday – Thursday from 9.30am – 4.30pm. 

More training information

Key features of this NowSkills apprenticeship: Live virtual training, Monthly 1:1 review sessions, social enrichment sessions, Expert Series guest speakers, LinkedIn Learning, uCertify, and G-Metrix platform access. The latest tools, including MySQL, Microsoft Access, Jamboard, Excel, Plural Sight, and much, much more.

Requirements

Desirable qualifications

GCSE in:

  • Maths (grade 6)
  • Science (grade 6)

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

Skills

  • Organisation skills
  • Problem solving skills
  • Analytical skills
  • Logical
  • Basic Microsoft Excel

Other requirements

We're looking for an ambitious, energetic, and people-focused individual who genuinely enjoys building relationships and helping businesses succeed. The ideal candidate will be a confident communicator, proactive problem-solver, and natural networker who thrives in a fast-paced environment. They will be self-motivated, organised, and comfortable engaging with business owners, attending events, generating opportunities, and representing our brand within the local community. A positive attitude, strong work ethic, and passion for supporting local businesses are essential. Experience in sales, marketing, customer service, networking, or business development would be advantageous, but enthusiasm, personality, and a willingness to learn are equally important.

About this employer

Our mission is simple: to increase visibility, build credibility, and create meaningful relationships that help businesses thrive. From business fairs and networking events to digital marketing and content creation, we are passionate about supporting local success stories and creating opportunities for growth.

After this apprenticeship

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

Data Analyst.

Ask a question

The contact for this apprenticeship is:

NOWSKILLS LIMITED

The reference code for this apprenticeship is VAC2000038791.

Apply now

Closes in 30 days (Thursday 23 July 2026)

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