Opportunity Review Analyst: Global Data & Insights

AIESEC

Maastricht

Hybrid

EUR 14,000 - 17,000

Full time

14 days+

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Benefits offered by this job

Mentorship program
Networking spaces
International exposure

Job summary

DHL Group, in the Netherlands, offers a Post Opportunity Review analyst opportunity through AIESEC Global Talent. You will engage in analytical reviews of large customer deals, focusing on pricing decisions, risks, and outcomes, while collaborating with cross-functional teams.

The role emphasizes data design, visualization, and continuous improvement within a multinational logistics context. The position requires strong analytics, Python and PowerBI experience, and a background in business

Qualifications

  • Degree in business administration or economics.
  • Strong analytical and data visualization skills.
  • Proficiency in Python or similar data tools is a plus.
  • Willingness to learn quickly and work with diverse teams.
  • Masters degree preferred.

Responsibilities

  • Learn and suggest improvements to the Post Opportunity learning framework.
  • Create a framework to convert learnings into actionable outcomes.
  • Analyze major losses and potential losses using opportunity databases.
  • Coordinate discussions with customer sales managers for interviews and surveys.
  • Plot findings in the learning database and maintain data quality.
  • Support data analysis and reporting for global initiatives.
  • Assist in documenting processes, governance, and deployment approaches.

Skills

Python
PowerBI
Sharepoint
Communication

Education

Bachelor
Masters degree

Job description

DHL Group, in the Netherlands, offers a Post Opportunity Review analyst opportunity through AIESEC Global Talent. You will engage in analytical reviews of large customer deals, focusing on pricing decisions, risks, and outcomes, while collaborating with cross-functional teams.

The role emphasizes data design, visualization, and continuous improvement within a multinational logistics context. The position requires strong analytics, Python and PowerBI experience, and a background in business

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