Data Analyst - Business Performance Analytics in Barcelona


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Job Description

At Criteo, our culture is as unique as it is diverse. From our offices around the world or from home, our incredible team of 2,700 Criteos collaborates to develop an open and inclusive environment. We aim to create a place where people can grow and learn from each other while having a meaningful impact. We work together to achieve our goals, push boundaries, and share successes. All of this supports us in our mission to power the world’s marketers with trusted and impactful advertising.

*This is a 6-month internship opportunity based in Barcelona starting January 2023*

The goal of Business Performance AX (BPAX) team is to provide market level analytics insights to internal stakeholders and also derive action plans from them. Insights on business performance drive sales or operational actions that maximize revenue and margin. Thanks to a global geo coverage, BPAX has the ability to address country, market and global level topic, and ensure timely sync with every in-market team and leader. Aligned with the Criteo culture of data-based decision making, the team has a unique capability to unveil business opportunities.

As an Analyst Intern in this Business Performance team you will provide a data-driven approach to understand the business.

This role involves working with a considerable amount of complex data and requires a candidate who is comfortable thinking of innovative ways to analyse data and create a comprehensive story.


  • Provide analytical insights on changes of market environment and competition.
  • Size business growth opportunities/threats. Translate findings into actionable insights for multiple levels of stakeholders.
  • Based on external and internal data, understand client’s behaviours, qualify potential of clients and prospects on new and existing business.

Academic Background / Skills / Experience

  • Bachelor’s degree or higher in a quantitative field (Mathematics, Computer Science, Engineering, Economics, Business School).
  • Strong intellectual curiosity and analytics skills. Ability to structure and solve difficult problems.
  • Experienced in Python and SQL. Knowledge of Tableau is a plus.
  • A good grasp of statistical modelling.
  • Very good communication skills.
  • Fluency in English.
  • Proactivity and commitment.


At Criteo, we believe the future is wide open when it includes everyone. We are committed to creating an environment where all Criteos feel a sense of belonging. We nourish our diversity by listening to all cultures within Criteo - and there are many. We are proud to be a global team and conscious that it takes people with different perspectives, thoughts and cultures to succeed. We want you to come as you are so we can succeed together.

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 believe that you can still bring value to the role, we’d love to see your application!

Criteo collects your personal data for the purposes of managing Criteo's recruitment related activities. Consequently, Criteo may use your personal data in relation to the evaluation and selection of applicants. Your information will be accessible to the different Criteo entities across the world. By clicking the "Apply" button you expressly give your consent.


About Criteo

  • Ad Tech

  • Public, IPO 2013

  •  Paris, France

  • 1000-5000

  • 2005

Criteo is a digital performance marketing company.

Measuring return on post-click sales, Criteo makes ROI transparent and easy to measure. Criteo has 1,700+ employees in 27 offices across the Americas, Europe and Asia-Pacific, serving 9,250+ advertisers worldwide and direct relationships with 11,000+ publishers. 

Unlike the vast majority of the market, Criteo claims it uses a transparent cost-per-click model and measures value purely on post-click sales. This demanding model is supported by sophisticated predictive technology. It processes a vast amount of rich purchase-intent data in real-time to identify buyers and deliver dynamically-created ads which are personalized for each consumer. 

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