Healthcare jobs in Germany

Statista Healthcare is a vertical business unit of Statista focused on making healthcare quality transparent, measurable and comparable across countries, care settings and specialties. We work with leading healthcare stakeholders worldwide to support data‑driven quality measurement and transformation by combining in‑depth analytical expertise with scalable technology and communication power.

Our offerings span international rankings, ratings, benchmarking studies and customized consulting projects. Our global healthcare rankings and hospital ratings are published in collaboration with our trusted media partner Newsweek enabling high visibility and credibility across markets.

We help healthcare organizations define relevant key performance indicators, validate and harmonise data structures and translate insights into actionable strategies. At the heart of our approach is a data‑driven understanding of healthcare quality grounded in robust methodologies, global comparability and stakeholder trust.

In our consulting projects we support healthcare providers and systems in developing tailored KPI frameworks, standardising and validating data processes and deriving actionable insights that enable measurable improvements in patient care and system‑level performance. We combine structured methodologies with hands‑on delivery to unlock the full value of healthcare quality data.

As Data Science Consultant Statista Healthcare you will join our international team of data professionals supporting the analytical backbone of Statista’s healthcare activities.

Your work will focus on the collection, processing and analysis of healthcare data that power our rankings, ratings and benchmarking projects as well as the development of new data‑driven products.

In benchmarking and custom quality development projects with healthcare providers and other stakeholders you will be part of an interdisciplinary project team that works directly with our clients.

You will work hands‑on with large and diverse datasets, transform raw data into clean structured information and contribute to the automation of our analytical workflows.

In close collaboration with internal analysts, engineers and project managers you will ensure that our healthcare data infrastructure remains reliable, scalable and ready for future integration into the Statista Healthcare Data Platform.

Your work will directly support Statista’s mission to make healthcare quality measurable, comparable and actionable – globally.

• Support in maintaining and further developing Statista’s ranking and rating databases ensuring consistency, accuracy and scalability
• Implement and optimise data pipelines (ETL/ELT) to automate data collection, transformation and validation workflows
• Collaborate on data pilots and benchmarking projects from design and metric development to scoring and results analysis, interacting directly with our clients as part of an interdisciplinary Statista project team
• Integrate, clean and standardise external datasets from hospitals, ministries and partners for unified use in Statista’s healthcare products
• Develop and document data models and scoring frameworks in alignment with the Healthcare Analysis and IT teams
• Support the development of Statista’s Unified Health Database and future Healthcare Data Platform
• Perform internal analyses and reporting to improve data quality and performance metrics of existing healthcare products
• Ensure data validation and reproducibility including peer review and internal QA checks
• Actively contribute ideas for new data‑driven healthcare products and improvement of existing workflows

• Masters degree (or equivalent) in Data Science, Statistics, Computer Science, Public Health or related field
• 4 years of experience in data analytics, modelling or applied statistics, ideally within healthcare or another data‑intensive field
• Proven skills in Python and SQL and proven experience with data visualisation and BI tools (e.g. Power BI, Tableau or similar) including dashboard design and storytelling with data
• Experience with ETL/ELT workflows, data wrangling, structured databases and the conceptual design of data models and analytics solutions. Proven ability to build and deploy end‑to‑end data pipelines and architectures from initial design to production implementation
• Experience working with and deploying cloud‑based data environments (AWS preferred) for data storage, computing and machine learning workflow
• Strong analytical mindset and ability to transform complex data into actionable insights
• Basic understanding of healthcare KPIs, quality metrics or benchmarking concepts is advantageous
• Fluent in English; German is a plus
• Highly structured, curious and motivated to work in an international and cross‑functional environment

• Work from abroad up to 30 calendar days a year
• Hybrid work and flex‑time
• International team and social events
• Subsidised urban mobility and access to fitness and wellness options
• Free access to Perplexity Enterprise and all its amazing functionalities
• Career & training opportunities
• Attractive locations and modern offices

Some of the benefits listed here apply only to the German entity and to Junior‑level roles or above.

Required Experience:

Contract

Key Skills: Civil, Apparel, Banking, CMS, Infection Control

Employment Type: Full‑Time

Experience: years

Vacancy: 1