Assistant Manager of Marketing Analytics in Bristol

Requirements

• Experienced in ATL media measurement techniques, including econometrics / marketing mix modelling
• Strong data analytical and problem-solving skills with attention to detail
• Ability to communicate insights clearly and confidently to a range of audiences
• Excellent knowledge of the Microsoft suite (e.g. Excel, PowerPoint, Teams)
• Solid understanding of broader measurement concepts such as incrementality testing, multi-touch attribution (MTA), AB testing, forecasting and time-series modelling
• Experienced in tools such as:
• Data & Querying: R, Python, SQL
• Visualisation: Power BI (Desirable)
• Cloud: GCP, Vertex AI

We know that great talent comes from many backgrounds. Whilst this job advert may reference specific years of experience, we recognise that skills are developed in many ways, so if you have relevant, transferable experience, we encourage you to apply.

What the job involves

• Join Lloyds Banking Group’s Marketing Effectiveness team, part of Customer Insights, Planning & Effectiveness within the Brands, Marketing & Experience (BMX) function. BMX is a Group-wide team dedicated to building strong, inclusive, and sustainable brands that enhance customer experience and drive growth.
• We’re looking for a curious and data-driven Assistant Manager to join our growing Marketing team at Lloyds Banking Group. This is a fantastic opportunity for someone with a strong foundation in marketing analytics who is ready to take the next step in their career.
• If you enjoy working with data, uncovering insights, and helping shape marketing strategy, we’d love to hear from you!
• You’ll support the delivery of marketing performance insights.
• You’ll work closely with senior analysts, media teams, and marketing stakeholders to help evaluate campaign effectiveness and contribute to marketing mix modelling (MMM) projects.
• You’ll play a key role in turning data into stories—helping the business understand what’s working, what’s not, and where to optimise for better results.
• Support with end-to-end data collection and validation for all inputs required for MMM, ensuring accuracy, completeness, and timely delivery to modelling partners.
• Interpret MMM results and distil complex findings (return on investment, contribution, elasticities…) into clear, actionable insights for marketing and commercial teams.
• Support annual planning and optimisation cycles to shape investment scenarios and future media strategies.
• Maintain strong documentation and governance across MMM cycles, including input logs, model outputs, and learnings for cross-team alignment.