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Senior Data Analyst

Criteo

Barcelona

Presencial

EUR 40.000 - 60.000

Jornada completa

Hace 21 días

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Descripción de la vacante

A leading company in the online industry seeks a Data Analyst to work in Barcelona. The role involves analyzing large data sets and providing insights to enhance brand and retailer performance. Ideal candidates have a Master’s degree in a quantitative field, with strong skills in SQL and Python, and a passion for data. This position includes mentoring other team members and building scalable analytical solutions leveraging advanced data analytics tools.

Formación

  • At least 4 years’ experience in Data Analytics or Data Science.
  • Proficiency in SQL and Python required.
  • Background in digital industry or consulting is a plus.

Responsabilidades

  • Mine massive data sets and turn them into actionable insights.
  • Develop innovative analytical approaches to measure performance.
  • Act as a mentor for Data Analysts in the Barcelona office.

Conocimientos

SQL
Python
Data Analytics
Statistical Thinking
Data Visualization

Educación

Master’s degree in a quantitative field

Descripción del empleo

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.

Criteos 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 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
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