Copyright & Tracking Apprentice

SONY/ATV MUSIC PUBLISHING (UK) LIMITED

London (N1C 4DB)

Closes in 10 days (Friday 31 July 2026)

Posted on 21 July 2026


Summary

The role-holder will carry out a unique, hybrid role, assisting two sister-departments within Administration. The role-holder will be required to communicate/liaise with various internal stakeholders, use internal and external databases and demonstrate strong attention to detail and high levels of accuracy.

Wage

£15,600 to £24,784.50, depending on your age

National Minimum Wage

Minimum wage rates (opens in new tab)

Training course
Data technician (level 3)
Hours
Monday to Friday - 9.30am - 6.00pm.

37 hours 30 minutes a week

Start date

Tuesday 29 September 2026

Duration

1 year 3 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

  • Review the registration status via Song View on our Royalty Portal.  
  • Full review of new catalogue song data, ensuring worldwide registrations are in place and accounted for.
  • Running reports from the in-house database and analysing data to identify possible gaps in income for the team to review. 
  • Gathering relevant royalty statements and other relevant historical documentation (client contracts etc.) to support SMP’s audit procedures. 

Where you'll work

2 Canal Reach
London
N1C 4DB

Training

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

Training provider

THE WEST MIDLANDS CREATIVE ALLIANCE 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 Level 3

This occupation is found in all sectors where data is generated or processed including but not limited to finance, retail, education, health, media, manufacturing and hospitality. The broad purpose of the occupation is to source, format and present data securely in a relevant way for analysis using basic methods; to communicate outcomes appropriate to the audience; analyse structured and unstructured data to support business outcomes; blend data from multiple sources as directed and apply legal and ethical principles when manipulating data.

You will learn how to do the following:

  • Source data from a collection of already identified trusted sources in a secure manner
  • Collate and format data to facilitate processing and presentation for review and further advanced analysis by others
  • Present data for review and analysis by others, using required medium for example tables, charts and graphs
  • Blend data by combining data from various sources and formats to explore its relevance for the business needs
  • Analyse simple and complex structured and unstructured data to support business outcomes using basic statistical methods to analyse the data
  • Validate results of analysis using various techniques, e.G cross checking, to identify faults in data results and to ensure data quality
  • Communicate results verbally, through reports and technical documentation and tailoring the message for the audience
  • Store, manage and share data securely in a compliant manner
  • Collaborate with people both internally and externally at all levels with a view to creating value from data
  • Practise continuous self-learning to keep up to date with technological developments to enhance relevant skills and take responsibility for own professional development 

Requirements

Essential qualifications

GCSE in:

  • English (grade C/4)
  • Maths (grade C/4)

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

Skills

  • IT skills
  • Attention to detail
  • Organisation skills
  • Administrative skills
  • Number skills
  • Analytical skills
  • Logical

Other requirements

➢ A genuine interest in a broad range of music
➢ Intermediate level in Excel
➢ BTEC or A level qualification

About this employer

At Sony Music Publishing (“SMP”), we believe every voice matters. We are the #1 global music publisher, advancing the artistry of the world’s greatest songwriters and composers for over 25 years. We keep songwriters at the forefront of everything we do, and design our suite of services to amplify opportunities, build connections, and defend their rights. Our roster benefits from an international team committed to providing support at every career stage. From classic catalogues to contemporary hitmakers, history is always being written. We are a part of the Sony family of global companies. Learn more about SMP here. 

https://www.sonymusicpub.com/ (opens in new tab)

After this apprenticeship

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

Sony are dedicated to developing talent through apprenticeships. This programme could lead to a full-time role beyond the apprenticeship.

Ask a question

The contact for this apprenticeship is:

THE WEST MIDLANDS CREATIVE ALLIANCE LIMITED

The reference code for this apprenticeship is VAC2000043647.

Apply now

Closes in 10 days (Friday 31 July 2026)

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