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Paris, Île-de-France Pernod Ricard Temps plein

Pernod Ricard, a leading player in the wines and spirits industry, is seeking a highly motivated Data Analyst Intern to join its team. The ideal candidate will have strong analytical skills and proficiency in business intelligence tools.

Role Overview

The successful candidate will be part of the Artificial Intelligence team, working closely with Data Scientists, Data Analysts, and Machine Learning Engineers. This role offers a unique opportunity to develop skills in data analysis, visualization, and automation.

Key Responsibilities
  • Prepare data for statistical models, ensuring consistency and addressing code-related issues.
  • Collaborate with Data and Tech functions during product deployment in Pernod Ricard affiliates.
  • Support data analysis to address strategic questions from affiliates or global functions.
  • Create and maintain simple visualization dashboards for Marketing and Commercial teams to communicate key insights and monitor digital product performance.
  • Automate data processes, including ingestion and quality checks, to enhance analysis workflows and facilitate seamless data program deployment.
Requirements

To succeed in this role, you will need:

  • Strong analytical and synthesis skills, along with knowledge of statistical methods and proficiency in business intelligence tools.
  • Curiosity and eagerness to learn about Pernod Ricard's business, and a strong appetite to grow skills in computer languages.
  • Hands-on experience with at least one coding language (SQL, Python, etc.) and visualization tools (Power BI, Tableau, etc.).
  • Current enrollment in a business school or a master's degree specializing in statistics, computer engineering, marketing, or an equivalent field.
  • Prior internships in the field of data or digital project management are a plus.
  • Fluency in English, French is a plus.
Benefits

As a Pernod Ricard employee, you will enjoy:

  • Gross salary from €1410 to €1550 per month, depending on your qualifications.
  • Flexible work arrangements, including the possibility of working from home up to 2 days a week.
  • Access to company restaurant and employee events.
  • Unlimited access to the Coursera training platform to enhance your skills.