Web Analytics & Content Insights Intern — Paris (GA4)

pernodricard; Paris; Sur place; EUR 16 000 - 17 000; Plein temps

Avantages offerts par ce poste

Company restaurant

Coursera training access

Employee events

Résumé du poste

Pernod Ricard is seeking a Web-Analytics & Content Insights Intern for a January 2027 start in Paris, for 6 months. You will join the MarTech Team within Global Tech, supporting Product Management of Web-Analytics and Digital Content solutions.

The role involves researching analytics technologies, documenting findings, and assisting with PIM and DAM initiatives across global teams. The position requires Bac+4/5, hands-on data analysis, and strong English; French is a plus.

Qualifications

• End of studies internship (Bac+4/5) in Business, Data Analytics, Engineering or related field.
• Prior internship or work experience in Digital Marketing, Data Analytics or Tech team is preferred.
• Familiar with GA4, Google Ads, Meta Campaign Manager or SEMrush is a plus.
• English is the main working language; French is a plus.

Responsabilités

• Research web analytics and search market intelligence and document findings clearly.
• Support PIM rollout tasks including scope framing, data prep, and training materials.
• Assist DAM evolution tasks, participate in agile ceremonies, and configure the portal.
• Help create cross-product dashboards and generate actionable insights from data.
• Contribute to cross-product documentation and playbooks.

Connaissances

Data Analytics

Advanced English

Excel proficiency

AI awareness

Formation

Bac+4/5

Outils

GA4

Google Tag Manager

Bynder

SEMrush

Description du poste

Pernod Ricard is seeking a Web-Analytics & Content Insights Intern for a January 2027 start in Paris, for 6 months. You will join the MarTech Team within Global Tech, supporting Product Management of Web-Analytics and Digital Content solutions.

The role involves researching analytics technologies, documenting findings, and assisting with PIM and DAM initiatives across global teams. The position requires Bac+4/5, hands-on data analysis, and strong English; French is a plus.