Data Apprentice
TAYLOR HAWKES LTD
Rayleigh (SS6 7UP)
Closes in 28 days (Thursday 16 July 2026)
Posted on 18 June 2026
Contents
Summary
You will be responsible for supporting the recruitment process in line with CQC guidelines including advertising vacancies, arranging interviews, and completing safe-recruitment pre-employment checks.
- Wage
-
£16,000 a year
- Training course
- Data technician (level 3)
- Hours
-
9.00am - 5:30pm, shifts to be confirmed.
37 hours 30 minutes a week
- Start date
-
Thursday 23 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
- Responding promptly and professionally to incoming emails and telephone calls, taking accurate messages and directing enquiries appropriately
- Maintaining and updating spreadsheets and records to ensure information is accurate and current at all times
- Supporting the recruitment process in line with CQC guidelines including advertising vacancies, arranging interviews, and completing safe-recruitment pre-employment checks (DBS, right-to-work, references and employment history)
- Updating the Nourish care planning system (and any associated care planner records) accurately and in a timely manner with the data available
- Ensuring staff rota is allocated and client visits - delays are escalated to senior management
- Allocating training and booking staff meetings, spot checks and supervision
- Monitoring activities and supporting the running of surveys, recording responses and outcomes
- Ordering stock, ensuring required supplies are always in place, and comparing prices with suppliers to achieve best value based on previous data sets
Where you'll work
Vantage House 6-7
Claydons Lane
Rayleigh
SS6 7UP
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
- Attention to detail
- Organisation skills
- Team working
About this employer
Taylor Hawkes is a trusted global leader in accountancy and legal recruitment, specializing in connecting high-calibre talent with businesses across the accountancy, tax, audit, and legal sectors, as well as in-house roles spanning diverse industries. Driven by market expertise and a precision-focused approach, we deliver tailored recruitment solutions that align seamlessly with the strategic goals of our clients. Our data-driven methodology ensures we identify the right individuals to meet the demands of today’s competitive business environment. At Taylor Hawkes, we understand that recruitment is about more than filling vacancies – it’s about building partnerships that place the right professionals in the right roles at the right time, enabling companies and candidates to achieve their full potential.
Company benefits
- Full induction and ongoing paid training.
- Funded professional development opportunities.
- Supportive, friendly team in a well-established care organisation.
After this apprenticeship
Your earnings can increase over time with an apprenticeship. Find out about potential future pay (opens in new tab).
Possibility of full time employment.
Ask a question
The contact for this apprenticeship is:
QA LIMITED
The reference code for this apprenticeship is VAC2000037955.
Apply now
Closes in 28 days (Thursday 16 July 2026)
After signing in, you’ll apply for this apprenticeship on the company's website.