What You'll Do: The Retail Media EMEA Analytics team, part of the rapidly expanding Criteo Retail Media business, leverages our massive set of shopper data to design and develop actionable insights for our Retailer and Brand clients. We bring the analytical perspective onto the business and provide recommendations based on high quality data analysis and strong understanding of our industry and products. We leverage our unique position to provide our commercial teams and clients with visibility into shopper behavior, market trends and product performance that can't be found anywhere else.
Criteo's high-growth business model brings both opportunities and challenges. This position requires working with large sets of data to solve complex business problems by thinking strategically and proposing innovative analytical solutions. The ideal candidate functions with minimal oversight and has the ability to learn new concepts quickly.
What you will do:
Mine massive data sets and turn them into understandable and actionable insights (we don't use the term massive lightly: our clusters store close to 171 PB of data, with tens of TB of new data stored daily)
Build scalable analytic solutions using state of the art tools of Criteo analytics stack (Hadoop, Vertica, Python, Flask web applications…)
Develop innovative analytical approaches to measure Brands & Retailers' performance from design to presentation of results, leveraging all our expertise in Data Analytics (statistical thinking, A/B testing, bootstrapping, data visualization…)
Contribute to identifying and collecting analytical, tooling and reporting needs from Commercial and Technical teams to fuel and shape team's roadmap
Frequently interact with other teams (R&D, product, commercial teams…) and clients to share data-driven recommendations and insights
Act as a local mentor for the team's Data Analysts based in Barcelona office by sharing technical expertise and driving operational excellence
Develop and maintain deep knowledge of Criteo Retail Media products and technologies as they evolve
Who You Are: You are passionate about data and want to work with leading edge technologies in online industry
You have at least 4 years' experience in Data Analytics or Data Science
Master's degree or higher in a quantitative field (Engineering, Mathematics, Computer Science, Physics, etc.)
Fluency in the core toolkit of Data Analytics: proficiency in SQL and Python (most common data libraries: pandas, numpy…) is required. Experience in Object-Oriented Programming is a real asset.
Outstanding analytical skills: passion for translating data-speak into relevant, compelling stories
A background in the digital industry or consulting is a plus
You have the combination of technical skills, passion for learning, and the soft skills to work with all personality types in a dynamic environment
You are fluent in English
We acknowledge that many candidates may not meet every single role requirement listed above. If your experience looks a little different from our requirements but you believe that you can still bring value to the role, we'd love to see your application!
Who We Are: Criteo is the global commerce media company that enables marketers and media owners to deliver richer consumer experiences and drive better commerce outcomes through its industry leading Commerce Media Platform.
Why Join Us: At Criteo, we take pride in being a caring culture and are committed to providing our employees with valuable benefits that support their physical, emotional and financial wellbeing, their interests and the important life events. We aim to create a place where people can grow and learn from each other while having a meaningful impact. We want to set you up for success in your job, and an important part of that includes comprehensive perks & benefits. Benefits may vary depending on the country where you work and the nature of your employment with Criteo. When determining compensation, we carefully consider a wide range of job-related factors, including experience, knowledge, skills, education, and location. These factors can cause your compensation to vary.
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