Criteo's Retail Media business is complex and requires a Data Analyst to understand every aspect of the business, answer challenging analytical questions, and drive retailer growth through data-driven insights.
Requirements
- SQL proficiency is required
- Background in any of the following is a plus: Tableau, Vertica, Hive/Hadoop, Python
- Thorough conceptual and practical understanding of relational databases, data architecture/governance, and real-world application of statistical concepts
- Bachelor’s degree or higher in a quantitative field (Mathematics, Economics, Engineering, Computer Science etc.)
- Minimum 2 years full-time, analytics-relevant work experience – experience in the digital industry is preferred
- Native-level English fluency
- Keen intellectual curiosity and ability to structure & solve difficult problems with minimal supervision
Responsibilities
- Collaborate with Partner Success and Technical Solutions teams to drive retailer growth and increase performance through data-driven insights
- Conduct ad hoc analyses for top Americas Retailers to identify revenue driving opportunities
- Proactively identify and collect analytical, tooling and reporting needs from Commercial stakeholders
- Develop self-service tools to answer these needs using Tableau, Python or any other relevant technologies
- Provide retailer or industry insights and present as appropriate to internal teams throughout the organization and to retailers when relevant
- Develop intimate understanding of retailers’ goals and needs, and partner with them and our internal commercial teams to formulate strategies for achieving joint objectives
- Maintain deep knowledge of Criteo Retail Media products, technologies, and position in the marketplace
Other
- Native-level English fluency
- Bachelor’s degree or higher in a quantitative field (Mathematics, Economics, Engineering, Computer Science etc.)
- Minimum 2 years full-time, analytics-relevant work experience
- Effective presentation and public speaking skills with the ability to present and defend complex analysis both internally and externally
- Passion for translating ‘data-speak’ into relevant, compelling stories
