Data Science Consultant - Healthcare (m/f/d)

About Statista

Statista is the world's leading business data platform, providing reliable and easy-to-use data, data analytics products, and services to empower fact-based decision-making worldwide. Founded in Hamburg in 2007, Statista has grown into a global company with offices in major cities and continues to expand, creating new development and career opportunities. Statista values and celebrates its diverse culture, welcoming everyone regardless of background.

About Statista Healthcare

Statista Healthcare is a business unit focused on making healthcare quality transparent, measurable, and comparable. It works with global healthcare stakeholders to support data-driven quality measurement and transformation through analytical expertise, technology, and communication. Offerings include international rankings, ratings, benchmarking studies, and consulting projects. Statista Healthcare collaborates with Newsweek on global healthcare rankings and hospital ratings. It assists healthcare organizations in defining KPIs, validating data, and deriving actionable strategies, with a core approach grounded in robust methodologies, global comparability, and stakeholder trust. Consulting projects support healthcare providers in developing KPI frameworks, standardizing data processes, and deriving insights for measurable improvements in patient care and system performance.

Your Role

As a Data Science Consultant for Statista Healthcare, you will be part of an international team of data professionals, supporting the analytical backbone of Statista's healthcare activities. Your work will involve collecting, processing, and analyzing healthcare data for Rankings, Ratings, and Benchmarking projects, as well as developing new data-driven products. You will participate in interdisciplinary project teams working directly with clients on benchmarking and custom quality development projects. You will handle large and diverse datasets, transform raw data into clean, structured information, and contribute to automating analytical workflows. In collaboration with internal analysts, engineers, and project managers, you will ensure the reliability, scalability, and future integration of the healthcare data infrastructure into the Statista Healthcare Data Platform. Your work will directly contribute to Statista's mission of making healthcare quality measurable, comparable, and actionable globally.

Responsibilities

• Support the maintenance and development of Statista’s ranking and rating databases, ensuring consistency, accuracy, and scalability.
• Implement and optimize 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 clients as part of an interdisciplinary Statista project team.
• Integrate, clean, and standardize 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.

Your Profile

• Master’s degree (or equivalent) in Data Science, Statistics, Computer Science, Public Health, or a related field.
• 4+ years of experience in data analytics, modeling, or applied statistics, ideally within healthcare or another data-intensive field.
• Proven skills in Python and SQL.
• Proven experience with data visualization 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 workflows.
• 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.

What We Offer

• Work from abroad up to 30 calendar days a year.
• Hybrid work and flex-time.
• International team and social events.
• Subsidized urban mobility and access to fitness and wellness options.
• Free access to Langdock and all its functionalities.
• Career & training opportunities.
• Attractive locations and modern offices.
• Mental health support with OpenUp.

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