Motorway is the UK’s fastest-growing used car marketplace - our online-only platform connects private car sellers with thousands of verified dealers nationwide, ensuring everyone gets the best deal. Founded in 2017, our award-winning, technology-led approach has redefined the experience of selling a car. Motorway is backed by some of the world’s leading technology investors, having raised £143 million in Series C funding.
This is a unique opportunity to join a fast-growing scale-up at a crucial phase of growth and help change an industry for the better.
ABOUT THE ROLE
We are looking for a Senior Marketing Data Analyst to join our Analytics team. You will own complex analytical work streams with significant autonomy and serve as the subject matter expert in supporting the marketing and commercial teams to answer questions linked to marketing and business performance as well as customer behaviour.
Beyond strong SQL, Python, statistical, and modelling skills, you will be an accomplished practitioner of AI-augmented analytical approaches.
WHAT YOU WILL DO
Lead complex end-to-end analytical projects with a high degree of autonomy across the marketing and commercial teams
Design and analyse incrementality experiments for the marketing teams; build statistical models as needed
Support on projects to improve knowledge of marketing return on investment such as marketing mix modelling (MMM) and brand impact measurement
Improve understanding of customer behaviour through the sales funnel from both the seller and dealer perspectives
Deliver presentations of analysis to senior stakeholders
Help manage attribution frameworks and advise on how these blend with the MMM and incrementality testing framework
Utilise AI effectively to automate workflows for both your own team and stakeholders deploying agents as needed
Stay current with AI and data trends; share relevant innovations and best practice with the team
AI & MODERN TOOLING - WHAT WE EXPECT
You will be an active practitioner of AI-augmented analytics. You will know where best to use LLM tools for analysis and coding applications as well as necessary safeguards to ensure strong analytical rigour. You will keep in touch with developments and spot areas for AI advancement in analytical workflows together with teaching others on best practice.
WHAT WE ARE LOOKING FOR
Background in marketing analytics
5+ years working in marketing and customer analytics
Strong SQL & Python
Expert-level SQL; proficient Python for modelling, statistical analysis and automation
AI practitioner
Strong working knowledge of AI tools and ability to share best practice. Knowledge of Claude Desktop Code ideal but not essential
Experimentation design
Confident designing A/B tests, advising on methodology, and explaining results to senior stakeholders
Advanced analytics
Experience with predictive modelling, causal inference, and statistical techniques beyond basic A/B testing
Business acumen
Ability to connect analytical work to business outcomes and champions use of data-led decision making
Stakeholder influence
Confident communicator; constructs compelling data narratives for senior audiences
dbt / BigQuery
Working knowledge of dbt and BigQuery ideal, but not essential
BENEFITS
A competitive salary
Annual learning budget to support your progression
BUPA health insurance, discounted dental and gym membership
On-hand volunteering membership and one paid volunteering day per year
Hybrid working (2 days in the office per week)
Pension scheme
Motorway EV car leasing scheme / cycle to work scheme
Enhanced parental leave (26 weeks full pay maternity / 4 weeks full pay paternity)
Workplace nursery scheme
Top spec MacBook Pro and peripherals
Regular social events
EQUAL OPPORTUNITIES STATEMENT
We are committed to equality of opportunity for all employees. We work to provide a supportive and inclusive environment where people can maximise their full potential. We believe our workforce should reflect a variety of backgrounds, talents, perspectives and experiences. We welcome applications from all individuals regardless of age, disability, sex, gender reassignment, sexual orientation, pregnancy and maternity, race, religion or belief, and marriage and civil partnerships.
