TikTok Shop Account (Data Specialist) Apprentice
CIPHER PAID MEDIA LTD
Warrington (WA1 1EX)
Closes in 28 days (Sunday 19 April 2026)
Posted on 19 March 2026
Contents
Summary
We are looking for an organised and proactive TikTok Shop Account Manager to support the day-to-day management of TikTok Shop accounts. This role will involve helping drive account performance through product optimisation, affiliate activity, promotions, and general shop operations.
- 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
-
Office-based 5 days per week
37 hours 30 minutes a week
- Start date
-
Tuesday 19 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
You'll learn how to:
● Support the day-to-day management of TikTok Shop accounts
● Monitor shop performance and analytics and help identify opportunities to improve sales
● Assist with product optimisation, promotions, pricing, and campaign setup
● Support affiliate and creator activity to help drive product sales
● Identify and communicate with relevant creators and affiliates
● Gather, input and analyse different data forms from the TikTok shop insights
● Analyse data trends and key performance metrics, using insights to make recommendations that improve processes and outcomes.
● Help coordinate outreach, gifting, product seeding, and campaign timelines
● Track performance across shop activity, affiliate output, and product sales
● Assist with reporting on key metrics / data and account performance
● Work closely with internal teams to ensure campaigns, products, and promotions are delivered smoothly
Where you'll work
Flag House
Barbauld Street
Warrington
WA1 1EX
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
More training information
Apprenticeships include time away from working for specialist training. You’ll study to gain professional knowledge and skills.
Requirements
Share if you have other relevant qualifications and industry experience. The apprenticeship can be adjusted to reflect what you already know.
Skills
- Communication skills
- Attention to detail
- Organisation skills
- Problem solving skills
- Administrative skills
- Team working
- Initiative
Other requirements
● Familiarity with TikTok Shop Seller Center
● Understanding of affiliate or creator-led sales activity
● Experience supporting e-commerce or marketplace accounts
● Strong awareness of TikTok trends and content that drives conversion
● Experience using platform tools to support sales growth is a bonus, but not essential
● A motivated and enthusiastic team player
● Someone who is highly organised and proactive
● A candidate who is based locally or able to commute to Warrington 5 days per week
● Someone with a genuine interest in TikTok Shop and online sales
● A person who wants to grow their career in a fast-paced e-commerce environment
About this employer
We’ve spent the last 4 years working directly with the management at TikTok Shop to launch and scale brands in the UK. We’re the most effecient and reliable agency on the platform.
After this apprenticeship
The successful candidate may be chosen to have a full-time role after completing their apprenticeship.
Ask a question
The contact for this apprenticeship is:
NOWSKILLS LIMITED
The reference code for this apprenticeship is VAC2000022212.
Apply now
Closes in 28 days (Sunday 19 April 2026)
After signing in, you’ll apply for this apprenticeship on the company's website.