Data Analyst Apprenticeship Level 4 London
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Job Summary
Contract Type: Fixed-Term Apprenticeship Full-time for 18 months
Department: BBC Product Data Experimentation
Location: London - London Broadcasting House
Salary: 22950 (5441 London Weighting)
COULD A BBC APPRENTICESHIP BE THE NEXT ROLE FOR YOU
Join us as an apprentice at the BBC to give yourself the opportunity to kick-start your career in a job youll love. Were committed to your skills and talent development. Youll learn on-the-job developing your knowledge and skills in an area that interests you while working towards your apprenticeship qualification with one of our learning providers.
WHY JOIN THIS SCHEME
Do you have a love of maths and data including Excel spreadsheets If the answer to both is yes fancy kickstarting your career with the BBC Were looking for the next generation of Data Analysts to join us on our journey towards a data-driven future!
Youll learn python from scratch so if youve always wanted to code well teach you how to do it! So if you thrive as part of a team and enjoy sharing ideas wed love to hear from you. Youve got to be interested now right
To find out more about the schemes we offer you can register to join one of our webinars here.
WHY JOIN THE TEAM
As a Data Analyst apprentice (DAA26) at the BBC youll join a dynamic collaborative team where youre learning goes far beyond the basics. Youll work on meaningful projects that shape the BBCs future while developing cutting-edge skills in areas like machine learning data visualisation and ethical data use. With a culture that values growth creativity and real-world impact youll gain both professional confidence and a clear path toward a successful data career.
As part of the BBCs Experimentation Team youll get hands-on experience with A/B testing and experiment analysis learning how to use statistics to support product decision-making. Youll join a supportive team who love sharing knowledge and developing new skills making this a great area to start your career in Data.
YOUR KEY RESPONSIBILITIES AND IMPACT
Asa Data Analyst apprentice this is brilliant opportunity to learn grow and contribute you will:
- A/B testing (also known as split testing).
- Experimental Design.
- Statistical Analysis.
- Communicating Insights.
- Data Processing with Python Pandas.
- Data Visualisation.
- Power BI and Tableau.
- Data Science for Business.
- Databases & Structured Query Language (SQL).
- Text Mining Software and Platforms.
- Introduction to Machine Learning.
- Time Series Analysis.
- Data Privacy Ethics & Regulations.
Youll study for your industry recognised apprenticeship qualification learning both on and off the means youll 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.
For more information on the apprenticeship standard you will be studying please visit this link.
YOUR SKILLS AND ELIGIBILITY
Were interested in your passion for working at the BBC and your enthusiasm for delivering world-class content and operational excellence to our audiences. Were not focused on your qualifications; instead we look for potential and offer you the opportunity to apply your transferable strengths and experience to work in different ways.
If you can bring some of these skills and experiences along with transferable strengths wed love to hear from you and encourage you to apply:
- Have a passion for maths and algebra.
- Are comfortable using Excel spreadsheets.
- Enjoy working with data.
- Using AI tools for increased productivity.
- Have brilliant organisational skills and are great at problem-solving and negotiating.
- Can manage multiple deadlines and demands on your time.
- Have a calm and focused approach to changing circumstances.
- Have a keen interest in the BBC and how people consume content bursting with fresh ideas to introduce new perspectives.
- Are an enthusiastic self-starter as well as being flexible and adaptable.
This scheme is aimed at non-graduates. If you have a degree and youre interested in similar roles at the BBC we recommend applying for jobs at theBBC careers site or having a look at our other apprenticeship schemes.
ELIGIBILITY CRITERIA
To be eligible for an apprenticeship at the BBC you must:
- Be 18 years old or over by the time the apprenticeship begins in September 2026
- Have lived in the UK continuously for the last 3 years prior to the start of the apprenticeship
- Be legally eligible to work full-time in the UK for the entire duration of the apprenticeship
- Not currently be enrolled in another apprenticeship programme whether with the BBC or another organisation
- Not have completed or hold qualifications in the apprenticeship subject at the same or higher level.
To apply for this scheme you must also:
- Have maths and English GCSE at Grade 4/C or above or National 5 (Scotland) at C or equivalent qualification.
- Have achieved or expected to achieve by the start of the scheme A Level/Higher Maths.
READY TO APPLY
Dont leave yourself wondering what if this could be your chance to be part of something exciting. See yourself thriving in this role Just click Apply Now!
Youll create a candidate profile and answer a few questions - no CV or cover letter needed.
If youre eligible well guide you through the next steps of the process and what to expect.
Youll need to live within a commutable distance of where this role is based. Interested in a different location Check out our other adverts - but please only apply to one.
This is a fixed-term apprenticeship - your contract lasts for the duration of the scheme. Once completed youll be supported with career development employability training and networking opportunities to help you take your next step - whether thats at the BBC or elsewhere in the industry.
#LI-DNI
Required Experience:
IC
Key Skills
- Data Analytics
- Microsoft Access
- SQL
- Power BI
- R
- Data Visualization
- Tableau
- Data Management
- Data Mining
- SAS
- Data Analysis Skills
- Analytics
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