Senior Analyst, Marketing Analytics

What are we looking for?   

Skyscanner is a dynamic and innovative metasearch travel company on a mission to help travellers plan and book their trip with ease and confidence.  We're looking for a Senior Analyst to join our Marketing Economics function and optimise spend allocation decisions to efficiently drive short and long-term Business growth, in a complex, global Business environment with multiple Marketing channels and sales verticals.  

Working closely with our Marketing Economics lead, you will develop a unified Marketing measurement approach, levering sales attribution, incrementality testing, causal inference and Marketing Mix Modelling to confidently evaluate & optimise the true ROI of our Marketing and clearly presenting and contextualising this to support our Marketing leadership team.  

What will this role be responsible for delivering on?   

• Developing Marketing Mix modelling (MMM) at Skyscanner, initially via a third party
• Developing an incrementality / geo testing plan to validate / complement our Marketing Mix Model’s insights into incremental ROIs 
• Informing the evolution of our Marketing attribution model 
• Guiding spend allocation decisions, reconciling insights from Marketing attribution, MMM and testing       

What skills do we need?   

• Deep understanding of Marketing economics / ROI evaluation approaches. In particular:  designing and analysing incrementality testing , causal inference analysis
• Experience working with Marketing Mix Modelling providers
• Strong SQL & Python skills.
• Ability to reconcile and contextualise insights from different sources to guide the decision-making process 
• Strong collaboration & communication skills. In particular, ability to efficiently communicate to a Senior audience.  

What can we teach you? What will you learn?   

• Exposure to Senior Marketing Executives, in a role that is critical to shaping key Marketing investment decisions  
• Ability to work with and learn from our internal Analytical experts, in a fast-paced environment that offers many challenging data problems to solve, on a global scale.  

Where will this role be based?   

London or Edinburgh