Data Analyst Apprenticeship - Level 4 - Salford
BBC Public Service
Salford (M50 2QH)
Closes in 6 days (Thursday 13 November 2025)
Posted on 6 November 2025
Contents
Summary
Kickstart your data career with the BBC Studios as a Data Analyst apprentice. Learn Python, Excel and more while working on real projects in a collaborative team. Gain skills in machine learning, data ethics and visualisation, helping shape the BBC’s data-driven future in governance and privacy.
- Wage
-
£22,950 a year
- Training course
- Data analyst (level 4)
- Hours
-
Shifts to be confirmed.
35 hours a week
- Start date
-
Tuesday 8 September 2026
- 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
As a Data Analyst apprentice, this is brilliant opportunity to learn, grow, and contribute – you will:
- Play a key part in driving digital growth through actionable data insights
- Collaborate with editorial teams to shape the future of BBC Sport’s digital presence, contributing to major sports tournaments, and support our SEO strategy
- Have the opportunity to present findings and recommendations to senior management, helping to inform strategic decisions at the highest level
- Data Processing with Pandas
- Data Visualisation
- Power BI and Tableau
- Data Science for Business
- Databases & SQL
- Text Mining
- Introduction to Machine Learning
- Time Series Analysis
- Data Privacy, Ethics & Regulations
Where you'll work
Salford
M50 2QH
Training
Apprenticeships include time away from working for specialist training. You’ll study to gain professional knowledge and skills.
Training provider
CAMBRIDGE SPARK LIMITED
Training course
Data analyst (level 4)
Understanding apprenticeship levels (opens in new tab)
What you'll learn
Course contents
- Use data systems securely to meet requirements and in line with organisational procedures and legislation including principles of Privacy by Design
- implement the stages of the data analysis lifecycle
- apply principles of data classification within data analysis activity
- analyse data sets taking account of different data structures and database designs
- assess the impact on user experience and domain context on data analysis activity
- identify and escalate quality risks in data analysis with suggested mitigation or resolutions as appropriate
- undertake customer requirements analysis and implement findings in data analytics planning and outputs
- identify data sources and the risks and challenges to combination within data analysis activity
- apply organizational architecture requirements to data analysis activities
- apply statistical methodologies to data analysis tasks
- apply predictive analytics in the collation and use of data
- collaborate and communicate with a range of internal and external stakeholders using appropriate styles and behaviours to suit the audience
- use a range of analytical techniques such as data mining, time series forecasting and modelling techniques to identify and predict trends and patterns in data
- collate and interpret qualitative and quantitative data and convert into infographics, reports, tables, dashboards and graphs
- select and apply the most appropriate data tools to achieve the optimum outcome
- Use data systems securely to meet requirements and in line with organisational procedures and legislation including principles of Privacy by Design
- implement the stages of the data analysis lifecycle
- apply principles of data classification within data analysis activity
- analyse data sets taking account of different data structures and database designs
- assess the impact on user experience and domain context on data analysis activity
- identify and escalate quality risks in data analysis with suggested mitigation or resolutions as appropriate
- undertake customer requirements analysis and implement findings in data analytics planning and outputs
- identify data sources and the risks and challenges to combination within data analysis activity
- apply organizational architecture requirements to data analysis activities
- apply statistical methodologies to data analysis tasks
- apply predictive analytics in the collation and use of data
- collaborate and communicate with a range of internal and external stakeholders using appropriate styles and behaviours to suit the audience
- use a range of analytical techniques such as data mining, time series forecasting and modelling techniques to identify and predict trends and patterns in data
- collate and interpret qualitative and quantitative data and convert into infographics, reports, tables, dashboards and graphs
- select and apply the most appropriate data tools to achieve the optimum outcome
Training schedule
- You’ll study for your industry recognised apprenticeship qualification, learning both on and off the job.
- This means you’ll spend at least one day a week studying for a Level 4 Data Analyst qualification from our external Learning Provider
- You will be supported with career development, employability training, and networking opportunities to help you take your next step within the BBC or elsewhere in the industry
Requirements
Essential qualifications
GCSE in:
A Level 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
- Problem solving skills
- Administrative skills
- Number skills
- Analytical skills
- Logical
- Team working
- Creative
- Initiative
- Non judgemental
- Patience
About this employer
We are a leading early careers employer and hire more than 250 apprentices each year. We are committed to skills and talent development both inside and outside the BBC and, as one of the world’s most creative and technologically-advanced organisations for the last 100 years, a career at the BBC means learning from the best. We want people who show potential to join us at the BBC. Don’t worry if you don’t have extensive experience, it’s your passion and values we are interested in.
Disability Confident
A fair proportion of interviews for this apprenticeship will be offered to applicants with a disability or long-term health condition. This includes non-visible disabilities and conditions.
You can choose to be considered for an interview under the Disability Confident scheme. You’ll need to meet the essential requirements to be considered for an interview.
After this apprenticeship
- This is a fixed-term apprenticeship - your contract lasts for the duration of the scheme
- Once completed, you’ll be supported with career development, employability training, and networking opportunities to help you take your next step - whether that’s at the BBC or elsewhere in the industry
Ask a question
The contact for this apprenticeship is:
CAMBRIDGE SPARK LIMITED
earlycareersrecruitment@bbc.co.uk
The reference code for this apprenticeship is VAC1000349812.
Apply now
Closes in 6 days (Thursday 13 November 2025)
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