Regenerative Agriculture Data Intern

DanoneGroot-AmsterdamEURESzveřejněno 13. 08. 2026
Nutné:DataHybrid

Procurement

Regenerative agriculture Data intern - Netherlands - Hoofddorp - Hybrid - Temporary Full-Time - 6 months - Posted: 11 Aug 2026

Regenerative agriculture Data intern

About the job

Are you analytical, detail-oriented, and passionate about sustainability, agriculture, and data-driven decision making? Do you want to gain hands-on experience working with agricultural data and contribute to Danone's regenerative agriculture ambitions? Join us as our Regenerative agriculture Data intern at Danone in Hoofddorp, NL , starting in January !

As a Regenerative agriculture Data intern , you will support the collection, validation, analysis, and reporting of farm-level data across multiple countries. Working closely with both global and local teams, you will help transform complex agricultural datasets into meaningful insights that support decision-making and drive continuous improvement within Danone's Agriculture program. This role offers a unique opportunity to develop your analytical, technical, and stakeholder management skills in an international and purpose-driven environment.

You will be responsible for:

  • Support global and local teams with data collection guidelines, timelines and clarification related to regenerative agriculture metrics in dairy farms.
  • Perform data quality checks, validation and consolidation of large farm-level datasets collected across multiple countries.
  • Analyse agricultural and farm performance data to identify trends, benchmarks, best performers and improvement opportunities.
  • Develop structured analyses and reports using Excel and contribute to dashboards and visualizations in Power BI.
  • Translate complex datasets into clear insights and actionable recommendations to support decision-making within the Regenerative Agriculture program.

About you

This role requires a strong analytical mindset, a high level of attention to detail, and the ability to translate complex datasets into clear in...