Product Data Analyst, Retail Media

Compensation

: $88,983.33 - $148,460.00 /year *

Employment Type

: Full-Time

Industry

: Advertising/Marketing/Public Relations



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Who we are
Criteo (NASDAQ: CRTO) is the global technology company powering the worlds marketers with trusted and impactful advertising. 2,800 Criteo team members partner with over 20,000 customers and thousands of publishers around the globe to deliver effective advertising across all channels, by applying advanced machine learning to unparalleled data sets. Criteo empowers companies of all sizes with the technology they need to better know and serve their customers.

The Product team at Criteo sits between the business and technology groups. Our business is built on a strongly quantitative culture, and our analysts are involved in setting the agenda and driving decisions across the organization. Youll be given access to one of the worlds biggest datasets, and the computing power to exploit it. Well ask you to produce data-driven recommendations that can be clearly understood and quickly put into action.

Overview:

We are looking for a highly motivated Data Analyst to join our Retail Media team. As this is a newly created position, you must thrive in a start-up environment, be proactive, detail-oriented and eager to learn and keep up with an evolving product landscape.

What will you be doing?

You will be working on our Criteo Retail Media solution. You will be in charge of identifying and quantifying opportunities for optimizations and solve issues as they will arise on this product.

You will be joining at an initial stage of our newly created Retail Media Platform, which is an opportunity to shape its direction and focus. Among the tasks foreseen:

  • Mine product data and turn them into understandable and actionable insights
  • Define and execute a stream of analysis and tests to inform and support the strategic roadmap
  • Master our internal analytic datasets and reporting tools, oversee the definition and maintenance of reports or dashboards to monitor our product KPIs
  • Train and support other analysts on best practices to analyze, troubleshoot and tune performance on your products or project
  • Work closely with our R&D team and become an expert of the Criteo Engines and Platforms
  • What do we expect?

  • You have previous experience in an analytical role in Technology, Consulting or Finance.
  • You have a good understanding of the Ad-Tech industry and its latest evolutions.
  • You have previous experience of problem-solving end to end, in autonomy
  • You hold a masters degree in Computer Science, Math, Statistics or Quant Economics
  • You are versatile, self-driven, detail-oriented and hands-on
  • You are outgoing with good communication skills
  • You are passionate about analytics, statistics, and predictive approaches
  • This is an amazing opportunity to join the worlds leading performance advertising company and be at the center of our strategic business initiatives. Join us to contribute to one of the latest disrupting technologies in online technology. We share the same passion for e-Commerce, Advertising, and Technology. We value teamwork, openness, technical innovation, and results-orientated thinking. Criteo corporate culture is all about attracting and retaining the best talent. We aim to reward excellence so there are fantastic opportunities for the right candidate.

    At Criteo, we dare to be different. We believe that diversity fuels innovation and creates an energy that can be seen and felt all over Criteo. We champion different perspectives and are committed to creating a workplace where all Criteos are heard and feel a sense of belonging.

    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.
    * The salary listed in the header is an estimate based on salary data for similar jobs in the same area. Salary or compensation data found in the job description is accurate.

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