Data Support Apprentice

VICINITY TRADING LIMITED

Tadcaster (LS24 9JF)

Closes in 27 days (Monday 12 January 2026)

Posted on 15 December 2025

Print

Contents

Summary

We’re hiring an apprentice to support our growing customer base and help them get the most from the Vicinity CRM and our suite of tools. You’ll become our elite internal CRM expert, the go-to person who knows the system inside out and supports customers with confidence, clarity, and care.

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.

38 hours a week

Start date

Monday 19 January 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

  • Customer support & training: Respond to customer questions through Intercom, providing clear, friendly, and solution-focused guidance. Run onboarding and training sessions for new users (via Zoom), helping them confidently adopt the CRM. Deliver occasional webinars and group training workshops. Write help articles, how-to guides, and short explainer videos to support customer self-service and train our AI
  • CRM expertise & data management: Become a power user of the Vicinity CRM - understanding its features, workflows, data structures, and best practices. Standardise datasets received from customers and prepare them for import. Add, update, and archive CRM users; track user numbers against contractual allowances. Work closely with the tech team and customer to get customer data into the system accurately and on time. Log bugs, requests, and data issues into GitHub clearly and consistently
  • Process & quality: Help shape and refine customer-facing processes, support documentation, and onboarding materials Identify common customer challenges and work with the tech team to improve the experience. Bring positivity, enthusiasm, and a bit of sparkle to the CRM and the people who use it!

Where you'll work

Suite 16a
Commer House Tadcaster Enterprise Park
Station Road
Tadcaster
LS24 9JF

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
  • IT skills
  • Organisation skills
  • Team working

About this employer

Vicinity is a leading provider of SaaS solutions for placemakers - Business Improvement Districts, councils, and place-based organisations who care passionately about their high streets, town centres, and local economies. Our CRM and digital platform help places turn their local knowledge into a superpower, making their work smarter, more efficient, and more impactful for the communities they serve.

 

We’re a small, focused, passionate team who care deeply about the quality of our work, the experience of our customers, and the positive impact our technology can make. We’re looking for someone who shares that energy - someone who brings spark, curiosity, and pride to everything they do.

Company benefits

  • Join a supportive, ambitious, fun, and mission-driven team
  • Holiday: 15 days annual leave + bank holidays
  • Benefits healthcare: Vitality healthcare scheme (company-funded core package)

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 VAC2000005145.

Apply now

Closes in 27 days (Monday 12 January 2026)

Sign in with your GOV.UK One Login to apply.

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