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About Criteo
Criteo is an inclusive employer and a member of myGwork – the largest global platform for the LGBTQ+ business community.
Job Overview
We are seeking a highly skilled Data Insights Specialist to join our Retail Media EMEA Analytics team in Barcelona, Catalonia, ES. As a key member of our team, you will be responsible for leveraging large sets of data to design and develop actionable insights for our Retailer and Brand clients.
Your Responsibilities
- Mine massive data sets and turn them into understandable and actionable insights
- Build scalable analytic solutions using state-of-the-art tools of Criteo's 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 the 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
Your Requirements
- 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
Estimated Salary Range: €55,000 - €65,000 per annum, depending on experience and qualifications.
About You
You are passionate about data and want to work with leading-edge technologies in online industry.
