Jobs

Senior Data Analyst


Job details
  • BBC
  • 1 week ago
Applications closed

Package Description

Job Reference: 20860
Band: D
Salary: £60,000 - £70,000 depending on relevant skills, knowledge and experience. The expected salary range for this role reflects internal benchmarking and external market insights.
Contract type: Permanent role
Location: Office Base is Salford or London. This is a hybrid role and the successful candidate will balance office working with home working

We’re happy to discuss flexible working. Please indicate your choice under the flexible working question in the application. There is no obligation to raise this at the application stage but if you wish to do so, you are welcome to. Flexible working will be part of the discussion at offer stage.

Excellent career progression – the BBC offers great opportunities for employees to seek new challenges and work in different areas of the organisation.
Unrivalled training and development opportunities – our in-house Academy hosts a wide range of internal and external courses and certification.
Benefits - We offer a negotiable salary package, a flexible 35-hour working week for work-life balance and 25 days annual leave with the option to buy an extra 5 days, a defined pension scheme and discounted dental, health care and gym. You can find out more about working at the BBC by selecting this link to our .

If you need to discuss adjustments or access requirements for the interview process please contact the k. For any general queries, please contact: k.

Job Introduction

Are you a data-driven storyteller with a passion for uncovering marketing effectiveness? We’re seeking a Principal Data Analyst (Media Insight) – Maternity Cover to lead our in-house Marketing Mix Modelling (MMM) projects. This is a fantastic opportunity to work in a high-impact role, driving insight-led decision-making for our marketing and media strategies.

Main Responsibilities

• Own and execute end-to-end Marketing Mix Modelling (MMM) projects to measure the impact of media investments.
• Analyse large datasets, uncovering actionable insights that optimize marketing performance.
• Develop statistical models to assess ROI across media channels, providing strategic recommendations.
• Collaborate with stakeholders across Marketing, Finance, and Data Science teams to translate complex data into business intelligence.
• Ensure best practices in data processing, model validation, and reporting.

Are you the right candidate

• Proven experience in Marketing Mix Modelling (MMM) and media analytics.
• Strong expertise in Python, R, SQL, or similar for data analysis.
• A background in statistics, econometrics, or a related field.
• Excellent communication skills – ability to translate complex models into actionable insights.
• Experience in marketing/media data sources (e.g., digital attribution, ad spend analysis).
• Media/Media agency background is preferred. 

About the BBC

The BBC is committed to redeploying employees seeking suitable alternative employment within the BBC for different reasons and they will be given priority consideration ahead of other applicants. Priority consideration means for those employees seeking redeployment their application will be considered alongside anyone else at risk of redundancy, prior to any individuals being considered who are not at risk.

We don’t focus simply on what we do – we also care how we do it. Our values and the way we behave are important to us. Please make sure you’ve read about our values and behaviours .

Diversity matters at the BBC. We have a working environment where we value and respect every individual's unique contribution, enabling all of our employees to thrive and achieve their full potential.

We want to attract the broadest range of talented people to be part of the BBC – whether that’s to contribute to our programming or our wide range of non-production roles. The more diverse our workforce, the better able we are to respond to and reflect our audiences in all their diversity.

We are committed to equality of opportunity and welcome applications from individuals, regardless of age, gender, ethnicity, disability, sexual orientation, gender identity, socio-economic background, religion and/or belief. We will consider flexible working requests for all roles, unless operational requirements prevent otherwise.

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