Job Description
Be Part of the Team
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)
- Job Location Berlin
- Start Date asap
- Job Duration unlimited
- Job Dimension 100%
- Application Deadline 20.06.2025
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.
- 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
- 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
Financial benefits
- Payment according to a transparent internal salary structure; in this position according to group 4 with full-time employment (40h/week) from 4.020 Euro to a maximum of 5.084, depending on the relevant professional experience
- 13th salary, regular salary increases within the salary structure
- Company pension plan after 24 months of seniority
- Subsidy for job ticket or Deutschlandticket
- Subsidy for a sports membership at Urban Sports Club
- Financial allowance for remote work and company laptop with additional accessories for mobile working
Non-financial benefits
- 30 days holidays plus days off on 12/24 and 12/31
- Flexible working hours, remote work incl. possibilities to work up to 6 weeks per year from abroad within the EU
- Wide range of internal training opportunities and annual external trainings budget
Additional benefits
- Insights on international field projects through regular reports, presentations and exchange with colleagues
- Opportunity to exchange ideas in our inspiring MSF Germany specific and international network and to help shape the future of the organization
- A meaningful, varied job in a respectful and positive organizational culture where empowerment and team decision-making are valued