Up to £2795 per month
5 months ago
6+ months minimum
£2795 per month, inside IR35, PAYE
40 hours per week
You will be working for one of the leading companies in advertising for Worldwide Sales, Marketing and Services organisation on the cutting edge of the digital advertising industry.
They are the engine that powers the buying and selling of digital advertising across all aspects of their digital portfolio including their high-growth search engine. Empowering advertisers around the world to reach their maximum potential through this paid search engine.
We are looking for an analyst who will focus on exploring the search advertising ecosystem for the EMEA marketplaces, and specifically help in building and scaling frameworks & solutions to identify near term opportunities for our advertisers.
In this role you will dive into large amounts of data to create compelling opportunity insights and build associated narratives to engage our partner teams. You must have a keen intellect for identifying opportunities and automating processes to generate insights to efficiently scale efforts across multiple International marketplaces.
*Drive development of marketplace insights and advertiser opportunities underpinned by existing frameworks for key verticals (e.g. travel, retail) across top EMEA markets
*Work on ad-hoc projects with the basic theme of analysing large quantities of data to generate meaningful actionable insights for our advertisers
*Gain understanding of the key ad product features and help develop adoption opportunities within verticals and support building approaches to quantify the impact of feature adoption on vertical revenues, wherever relevant.
*Build user intuitive dashboards to track and monitor progress on advertiser demand opportunities as well as feature adoption opportunities
Requirements for the role:
*Bachelor's degree required, preferably in Computer Science
*Experience in the online/digital advertising industry is a plus
*Strong experience in MS Excel, SQL and PowerBI (Or other visualisation tools) is a must
*Experience in automating and scaling data driven insights generation process
*Thorough knowledge and proficiency in working with large data sets with the ability to skilfully interpret data and translate into insights and actions.