Student Assistant - Data Analytics & Engineering

M; Berlin; Híbrido; EUR 15.000 - 17.000; A tiempo parcial

Ventajas ofrecidas por este puesto de trabajo

13th monthly salary

30 days holiday

€200 start bonus

Flexible working hours

Office in Berlin + mobile working

Descripción de la vacante

Médecins Sans Frontières (MSF) Germany in Berlin is seeking a Student Assistant to support Data Analytics & Engineering. You will work 20 hours per week, gain hands-on experience with data tools, and contribute to data-driven decision making for humanitarian operations.

You will collaborate across teams, turn complex data into actionable insights, and help document analytical workflows while supporting reporting processes at our Berlin office.

Formación

• Enrolled as a student for at least one year in a quantitative/analytical field.
• Interest in data quality, tracing root causes and validating results.
• Hands-on experience from university projects, internships, or personal projects.

Responsabilidades

• Create dashboards and visualizations in Power BI to communicate insights.
• Support development, testing and validation of analytics use cases.
• Collect, transform and validate data from multiple sources for reporting.
• Assist in exploring data to identify trends and data quality issues.
• Document datasets and analytical workflows for continuous improvement.

Conocimientos

Power BI

Data visualization

Data analysis

Data quality

EDA

Herramientas

Power BI

Descripción del empleo

Location

Berlin

Start Date

15.11.2026

1 year

(with option to extend)

Part-time

(20h / week)

Application Deadline

20.10.2026

Student Assistant - Data Analytics & Engineering

Médecins Sans Frontières (MSF) is a private, non-governmental, humanitarian organisation that provides medical aid in over 70 countries worldwide. The headquarter of the German section is in Berlin. Here, you will work with over 300 employees in various departments every day to support people in need. Our organisational culture is based on diversity, progress, and open and respectful cooperation. We evaluate incoming applications solely on the basis of professional qualifications and consider them regardless of age, gender identity, sexual orientation, disability, religion, or belief system.

BE PART OF THE TEAM

Are you curious about how data and analytics can make a real‑world impact beyond the tech industry? We at MSF Germany are looking for a Student Assistant to join our Data Analytics & Engineering team. In this role, you will gain hands‑on experience working with data, analytics tools, and modern reporting solutions while supporting meaningful humanitarian work. You will collaborate with diverse teams across MSF, help turn complex data into practical insights, and learn how data and technology can support informed decision‑making and operations at our Berlin office.

YOU will

• Support the development and improvement of data analytics solutions that enable data‑driven decision‑making across MSF Germany
• Assist in collecting, preparing, transforming, and validating data from different sources for reporting and analysis purposes
• Conduct exploratory data analysis (EDA) to identify trends, patterns, anomalies, and data quality issues
• Create dashboards and visualizations in Power BI to communicate insights in a clear and accessible way
• Support the development, testing and validation of statistical models and first advanced analytics use cases
• Collaborate with colleagues from different teams to understand analytical needs and translate them into practical solutions
• Help document datasets, analytical approaches, and workflows while contributing to the continuous improvement of reporting and analytics processes

You have

• Enrolled as a student for at least one year in a quantitative, analytical, or technical field (please indicate the expected remaining duration of your studies in your application)
• Strong interest in investigating data issues, including checking data quality, identifying inconsistencies, tracing root causes, and validating results across datasets.
• Good understanding of data analytics concepts and methods, with hands‑on experience from university projects, internships, or personal projects

OUR Offer

Hard facts

• Salary: 15,10€ per hour + 13th monthly salary
• 30 days holiday plus days off on 24. and 31.12.
• 200€ bonus at the start of the employment

Life Balance

• Flexible working hours
• Mobile working with presence in our office depending on work requirements incl. technical equipment
• Work from another European country for up to 6 weeks a year

Nice to have

• Office: kitchens, fruit/snacks, drinks, modern equipment
• Urban Sports Membership
• Bicycle cellar
• and much more

Trainings

• Choice of various further training opportunities
• Access to e-learning platforms
• Offers/topic weeks on mental health, well-being and EDI