Data Analyst Apprenticeship - Level 4 - Talent & Inclusion

This is a fixed-term, full-time apprenticeship lasting 18 months.

Why Join This Scheme?

Kick-start your career with the BBC as a Data Analyst Apprentice. You'll work on real projects, learn from industry experts, and help shape a data-driven future. The BBC will teach you Python coding from scratch. This role is ideal if you enjoy maths, spotting patterns in data, or working with Excel.

Why Join The Team?

The Workforce Diversity team uses data, insight, and evidence to understand workforce trends, measure progress against diversity goals, identify areas for improvement, and support leaders in making informed decisions to create a more inclusive workplace.

As a Data Apprentice, you will support this work by:

• Analysing workforce data.
• Producing reports and dashboards.
• Identifying trends and insights.
• Supporting diversity monitoring and evaluation activities.
• Helping to improve data quality and processes.
• Working with colleagues across HR and the business to answer questions using data.

This role offers the opportunity to develop data analysis, reporting, and stakeholder management skills while contributing to projects that have a meaningful impact on the BBC's people and culture.

Your Key Responsibilities and Impact

As a Data Analyst Apprentice, you will:

• Work with real data to uncover trends, solve problems, and support decision-making.
• Learn how data helps shape services, projects, and performance across the organisation.
• Develop skills in collecting, analysing, and presenting data, turning information into clear insights.
• Create reports and visualisations that help colleagues understand and act on data.
• Understand the importance of data privacy, ethics, and responsible data use.

You will study for your industry-recognised apprenticeship qualification, learning both on and off the job. You will spend at least one day a week studying for a Level 4 Data Analyst qualification with Cambridge Spark using its virtual delivery platform.

Your Skills and Eligibility

The BBC is interested in your passion for working at the BBC and your enthusiasm for delivering world-class content and operational excellence. They are not focused on your qualifications but look for potential and transferable strengths.

Ideal candidates will have:

• An enjoyment of working with data, numbers, and Excel spreadsheets, with an interest in maths and logical thinking.
• Brilliant organisational skills and are great at problem-solving and negotiating.
• The ability to manage multiple deadlines and demands on your time.
• A calm and focused approach to changing circumstances.
• A keen interest in the BBC and how people consume content, with fresh ideas to introduce new perspectives.
• An enthusiastic, flexible, and adaptable self-starter.

This scheme is aimed at non-graduates. If you have a degree, you should look for other roles on the BBC careers site.

Eligibility Criteria

To be eligible for an apprenticeship at the BBC, you must:

• Be 18 years old or over by September 2027.
• Have lived in the UK continuously for the last three years prior to the apprenticeship start.
• 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.
• Not already hold a qualification in the same subject area at the same or a higher level than this apprenticeship.

To apply, you must also have:

• Maths and English GCSE at Grade 4/C or above (or equivalent).
• Achieved, or be expected to achieve, A Level/Higher Maths (or equivalent) by the start of the scheme.

How to Apply

Click ‘Apply Now’ to create a candidate profile and answer a few questions. No CV or cover letter is needed. If you are eligible, you will be guided through the next steps. You will need to live within a commutable distance of London.

Once you have completed your apprenticeship, you will be supported with career development, employability training, and networking opportunities to help you take your next step.