• Join the SEM bidding team at Tripadvisor, owning the data-led systems that ensure the company makes the most of its paid search advertising spend across UK and FIGS markets.
• Produce original analyses to identify and explore opportunities to optimise SEM bidding strategies towards maximising revenue, and implement improvements to existing automated paid marketing systems.
• Plan and execute measurement tests and experiments to evaluate the impact of different bidding strategies, applying statistical techniques including regression analysis, hypothesis testing, and multivariate analysis.
• Leverage AI tools and technologies to enhance efficiency, generate insights, and streamline day-to-day workflows and systems.
• Work fully remotely from the UK.
📋 Job Requirements
• Hold a bachelor's degree in Business, Maths, Statistics, or a related quantitative field.
• Bring 2+ years of experience in a data analytics position, preferably in a digital marketing environment.
• Bring expertise in interrogating data using SQL, writing custom queries, and understanding database structures.
• Bring a strong understanding of statistical analysis techniques used for experimental design, including regression analysis, hypothesis testing, multivariate analysis, and time series analysis.
• Bring experience using AI tools in your day-to-day workflow and a genuine eagerness to expand your application of AI within SEM, data, and bidding.
🌟 Nice-to-have
• Bring prior exposure to paid search, bidding strategies, and marketing KPIs.
• Bring hands-on experience working within a SEM or performance marketing team at a consumer marketplace or e-commerce company.
• Bring experience collaborating with Data Science or Machine Learning teams on marketing optimisation problems.
🎯 Responsibilities
• Produce original analyses to identify opportunities to optimise SEM bidding strategies and maximise revenue across UK and FIGS markets.
• Seek out and implement improvements to existing automated paid marketing systems.
• Plan and execute measurement tests and experiments to evaluate bidding strategies, applying findings to improve performance.
• Collaborate closely with Marketing, Data Science, and Machine Learning teams to align on strategies, share insights, and ensure objectives are met.
• Check marketing performance daily, report trends, wins, and future plans to the wider team and leadership, and stay informed on emerging ad technologies and best practices.
About Tripadvisor
😃 What Tripadvisor offers
• Receive a competitive compensation package including base salary and annual bonus, routinely benchmarked against industry data.
• Work fully remotely with flexibility to suit your lifestyle.
• Access an annual lifestyle benefit to spend on travel, wellness, or whatever suits you, plus travel discounts and perks.
• Receive tuition assistance for qualified programmes and donation matching for charitable giving.
• Access health benefits, an employee assistance programme, and a generous employee referral scheme.
💖 What makes Tripadvisor unique
Tripadvisor Group connects people to experiences worth sharing and aims to be the world's most trusted source for travel and experiences. With over 400,000 bookable products in almost every country on the planet, Tripadvisor helps millions of travellers every month discover things to do worldwide.
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