Data Support Analyst Apprentice
PROFESSIONAL APPRENTICESHIPS LTD
Bath (BA2 3GZ)
Closes in 12 days (Friday 14 November 2025)
Posted on 31 October 2025
Contents
Summary
The role of data technician would be ideal for anyone starting their career in data analytics. Strong numeracy skills are essential. The skills, knowledge and behaviours (KSBs) learnt will allow you to work in all sectors where data is found: finance, retail, education, health, media, manufacturing and hospitality.
- Wage
-
£22,000 a year
- Training course
- Data technician (level 3)
- Hours
-
Monday-Friday
40 hours a week
- Start date
-
Monday 24 November 2025
- Duration
-
1 year 6 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
3Vision is a leading specialist TV content consultancy based in Bath. We have helped our clients build successful TV and streaming businesses in over 30 countries worldwide. We provide several online databases monitoring the growth of the TV sector and where and TV shows, Movies and FAST Channels are sold around the world.
We also offer a range of services including Strategy Development, Rights Negotiation, Research and Business Development.
Our clients include all types of TV service operators as well as content owners, TV channels and TV technology providers such as Sony, BBC Studios, Amazon MGM, Paramount, ITV, Vodafone and TiVo.
We are planning to significantly grow the business, and we are looking for a Data Support Analyst to join the team work on data gathering for our online databases.
For more information see www.3vision.tv
People we’re looking for will
- Be self-starters able to work under pressure
- Have an active interest in the TV industry
- Be numerate and have very good attention to detail
- Have good computer skills (ideally Apple), including a basic working knowledge of Microsoft Excel
Your role will focus on gathering data for our tracker services
- Gathering data for monthly updates of our trackers
- Understanding and extracting data from the trackers
- Collecting data from international TV services– guided by our team
- Our trackers cover TV Series, Movies, FAST Channels (these are free advertising supported TV channels)
Opportunity
You will also have the opportunity to learn from the very experienced executives in our team with expertise in a range of areas including sales, commercial negotiation, strategy development, business affairs and marketing.
Previous employees have gone on to work at leading companies like Sky, BT, Cisco and Warner Bros.
Where you'll work
Newark Works
Bath
BA2 3GZ
Training
Apprenticeships include time away from working for specialist training. You’ll study to gain professional knowledge and skills.
Training provider
PROFESSIONAL APPRENTICESHIPS LTD
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
You will undertake the ground-breaking Professional Apprenticeships Data Technician Level 3 qualification. Professional Apprenticeships are an Ofsted Outstanding rated provider and also hold the title of Bristol and Bath Apprenticeship Training Provider of the Year for 2021.
The training is delivered using a hybrid model and can be delivered fully remotely if needed. You will have monthly 1-2-1s with your assigned tutor, along with monthly group sessions, where one topic will be covered in detail, and you will have the opportunity to meet and work with all the other apprentices on the course.
These modules are designed to jump-start your career and make you stand out in an increasingly competitive field, boosting your future earning potential.
Requirements
Essential qualifications
GCSE in:
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
- Customer care skills
- Problem solving skills
- Presentation skills
- Administrative skills
- Number skills
- Analytical skills
- Logical
- Team working
- Creative
- Initiative
- Non judgemental
- Patience
About this employer
We launched in 2003 as one of the first consultancies of our kind. This pioneering spirit has since helped us negotiate countless successful deals for our clients, accelerate their growth to brand new levels, and plot crystal clear routes to future success. Our team combines experience from major pillars of the global TV ecosystem to provide unique and specialised expertise that will help you succeed, whatever your niche. Our team have previously worked at leading companies including Disney, Virgin Media, ITV, Sony Pictures, Amazon, Fremantle and Dish.
After this apprenticeship
This is an incredible opportunity to join the business at a time of growth and really make the role your own. This employer is looking for someone who, if successful, will progress on to a permanent role in the marketing department and really drive the function forward.
Ask a question
The contact for this apprenticeship is:
PROFESSIONAL APPRENTICESHIPS LTD
The reference code for this apprenticeship is VAC1000348854.
Apply now
Closes in 12 days (Friday 14 November 2025)
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