Reception and Delivery Administration Apprentice
Avant Skills Academy
Hull (HU1 3LS)
Closes in 17 days (Sunday 26 April 2026 at 11:59pm)
Posted on 9 April 2026
Contents
Summary
Avant Skills Academy is seeking a proactive, driven individual with strong communication skills and a positive, can-do mindset. In this role, you’ll support the Engagement Team and Programme Tutor Assessors, helping manage data, track attendance, and keep our Apprenticeship and Skills Experience programmes running smoothly.
- Wage
-
£15,600 for your first year, then could increase depending on your age
National Minimum Wage rate for apprentices
- Training course
- Data technician (level 3)
- Hours
-
Monday to Friday, between 8:30am and 4:30pm.
37 hours 30 minutes a week
- Start date
-
Monday 4 May 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
Duties include but are not limited to:
- Answer incoming telephone calls, direct callers, deal with queries, take messages and forward as appropriate
- Check answer phone messages daily, dealing and forwarding details as appropriate
- Handle internal and external enquiries (including employers and learners, via email, telephone and face-to-face) providing effective and efficient customer service
- Answer the centre intercom, providing the required greeting and ensuring only authorised visitors are granted access to the building
- Greet visitors to the organisation ensure they sign in and direct appropriately
- Process, record and deliver incoming and outgoing post daily
- Provide general administrative support to the team
- Input learner and employer data accurately into the Management Information System
- Update learner and employer data accurately
- Undertake learner attendance recording and following up with parents/carers/employers
Where you'll work
48 Jameson Street
Hull
HU1 3LS
Training
Apprenticeships include time away from working for specialist training. You’ll study to gain professional knowledge and skills.
Training provider
AVANT PARTNERSHIP 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
Data Technician Apprenticeship Standard Level 3, including Functional Skills if required.
You will learn the knowledge, skills & behaviours which will support you for your end-point assessment.
You will take part in a combination of activities, such as face-to-face classroom-based sessions, remote learning sessions, work shadowing and online learning, to support your learning and development.
You will be required to undertake training sessions with Avant Skills Academy every other week, throughout the length of the apprenticeship.
At the end of the on-programme learning, you will be required to undertake an End-Point Assessment (EPA) to demonstrate you have met the occupational standard.
Requirements
Desirable qualifications
GCSE in:
- English (grade 4)
- Maths (grade 4)
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
- Problem solving skills
- Administrative skills
- Number skills
- Analytical skills
- Logical
- Team working
- Creative
- Initiative
About this employer
Avant Skills Academy is a leading provider of pre-apprenticeship and apprenticeship programs, awarded 'Expert Apprenticeship Provider' status by the Department for Education. We deliver Apprenticeship training across Grimsby and North East Lincolnshire, Hull, and East Yorkshire in a range of occupational sectors including Business, Data, Digital, Hairdressing, Management, and Marketing. We are proactive, passionate, and committed.
http://www.avant.ac.uk (opens in new tab)
Company benefits
You can expect an additional day off for your birthday, Employer Supported Volunteering (ESV) with paid time off to support a charity or community group/initiative/project of your choice, combined with genuine career progression opportunities.
After this apprenticeship
With this apprenticeship, should you prove yourself to be the right candidate for the job, you can expect continued employment and excellent developmental and progression opportunities, including potential progression to other suitable positions.
Ask a question
The contact for this apprenticeship is:
AVANT PARTNERSHIP LIMITED
Jo Johnson
apprenticeships@avant.ac.uk
01482 253 300
The reference code for this apprenticeship is VAC2000024880.
Apply now
Closes in 17 days (Sunday 26 April 2026 at 11:59pm)