Médecins Sans Frontières (MSF) is a private and independent international medical aid organisation. Diversity, open mindedness and mutual respect are of particular importance in our organisation. MSF provides medical aid in more than 70 countries worldwide. The headquarters of the German section of MSF - Ärzte ohne Grenzen e.V. is in Berlin. In the headquarters, over 350 employees work in the fundraising, communications and engagement, finance and administration, human resources and project departments.

Advanced Analytics Engineer (f/m/d)

We're looking for a skilled and motivated person to join our team in a position focused on data analytics and data engineering. In this role, you'll dive deep into complex datasets across all our department, and other areas to uncover insights, develop predictive models and support strategic decision-making. You’ll also help shape our data infrastructure and contribute to automation and tool integration that enables smarter, faster work across the organization.

In your role you will

• Apply advanced analytics / machine learning techniques on various datasets to generate actionable insights, supporting all our departments
  
• Review and enrich machine learning models using in-depth statistics knowledge and techniques
  
• Collaborate and work with our data engineer specialist to build, maintain, and scale our data platform
  
• Work cross-functionally to understand business needs and translate them into data-driven solutions
  
• Create visualisations to showcase findings and insights to stakeholders
  

You Have

• A degree in a numerical or technical field (e.g. Data Science, Statistics, Computer Science, Engineering, Mathematics, or related)
  
• 2+ years of professional experience in applying advanced analytics / machine learning techniques for transforming data into insights
  
• Experience with machine learning algorithms to do predictive modeling, segmentation and classification (e.g. random forest, regression)
  
• Strong proficiency in working with large datasets, using tools like Azure Synapse Analytics, Databricks, SQL and Python
  
• Experience with data platforms, ETL processes, and cloud-based environments e.g. Azure
  
• Hands-on experience with system integration, workflow automation, and supporting data pipelines
  
• A collaborative mindset and enthusiasm for supporting others and building shared solutions
  
• Fluency in written and spoken English
  

As an internationally operating organisation, we welcome diversity, open mindedness and mutual respect. In accordance with our values, we only analyze the professional qualifications in the applications, regardless of ethnical and social origin, religion or belief, gender, sexual orientation or age of the applicant.