Planning & Analysis Intern: Data Insights & AI Impact

Mollie; Amsterdam; On-site; EUR 8,900 - 13,000; Part time

Benefits offered by this job

Mentorship program

Hands‑on experience with data & AI

Amsterdam internship program

Job summary

Mollie is offering an internship in Planning and Analysis in Amsterdam. You’ll gain hands-on experience by working with data, collaborating with Engineering, Finance and Data teams to turn insights into actions.

You’ll learn to present findings clearly, build recurring reports, and grow with a team that values curiosity, autonomy and continuous learning as part of a product and engineering driven environment.

Qualifications

• Google Sheets/Excel master capable of turning data into key messages.
• Analytical, data-driven mindset with attention to detail.
• Proficient communication in English.
• Proactive with interest in collaborating with Engineering and Product teams.
• Curiosity for experimenting with AI to solve problems.
• Willingness to learn both technical and business aspects.

Responsibilities

• Analyze and work with data to provide insights and identify actions.
• Present analysis outputs clearly to the Planning & Analysis team and stakeholders.
• Collaborate with other teams to ensure goals are met.
• Learn from colleagues and share knowledge to foster continuous learning, especially for Product & Engineering topics.
• Work with Planning and Analysis domain to align with business' financial information needs.
• Create recurrent reports on the company's performance and share with stakeholders.

Skills

Google Sheets

Excel

Data analysis

Storytelling with data

English communication

Collaboration with Eng & Product

AI curiosity

Willingness to learn

Tools

SQL

Job description

Mollie is offering an internship in Planning and Analysis in Amsterdam. You’ll gain hands-on experience by working with data, collaborating with Engineering, Finance and Data teams to turn insights into actions.

You’ll learn to present findings clearly, build recurring reports, and grow with a team that values curiosity, autonomy and continuous learning as part of a product and engineering driven environment.