Junior Data Analyst - Hybrid, Part-time, AI & Growth

Academic Key; Alkmaar; Hybrid; EUR 18,000 - 32,000; Part time

Benefits offered by this job

Good pension scheme

Bonus scheme

27 vacation days

Job summary

Cefetra Group BV in Alkmaar, Netherlands, is looking for a Junior Business Data Analyst to bridge business and IT by translating data into concrete insights to support decision-making across Finance, Trade and Logistics.

You become part of the IT & Data team, contributing to digitization, automation, and the professionalization of data-driven work. The role focuses on 24-32 hours per week with hybrid working and growth opportunities.

Qualifications

• A completed higher professional education or university degree in Data Science, (Business) Informatics, Econometrics, Business Administration or a similar direction.
• Available for 24-32 hours per week.
• 0-3 years work experience.
• Initial experience with data or process improvement via internship, thesis or first job.
• Basic knowledge of Power BI, SQL, Python, ETL and modern data platforms is a plus.

Responsibilities

• Analyze operational, commercial and financial data from various sources.
• Contribute to data governance, data quality and KPI standardization.
• Think about further development of the data and analytics platform.
• Contribute to the development of AI tools to improve data accessibility.
• Map and analyze business processes and contribute to process architecture.
• Identify trends and opportunities and translate into concrete recommendations.

Education

Higher professional education or university degree in Data Science / (Business) Informatics / Econometrics / Business Administration or similar direction

Tools

Power BI

SQL

Python

ETL

Modern data platforms (e.g. Microsoft Fabric)

Job description

Cefetra Group BV in Alkmaar, Netherlands, is looking for a Junior Business Data Analyst to bridge business and IT by translating data into concrete insights to support decision-making across Finance, Trade and Logistics.

You become part of the IT & Data team, contributing to digitization, automation, and the professionalization of data-driven work. The role focuses on 24-32 hours per week with hybrid working and growth opportunities.