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

Das ist der Job

At Statista , we’re all about facts and data, for we are the world's leading business data platform.

Darum lohnt es sich

Your story matters – keep writing it as part of our team. Our offerings span international rankings, ratings, benchmarking studies, and customized consulting projects.

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

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.

Responsibilities Support in maintaining and further developing 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 our 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.

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 a plus Highly structured, curious, and motivated to work in an international and cross-functional environment What we offer In addition to our great team, culture, and our shared goal of empowering people with data, there are many other things that make Statista a great place to work!

Join us and benefit from: 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 amazing 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.

By providing reliable and easy-to-use data as well as various data analytics products and services, we empower people worldwide to make fact-based decisions. Founded in Hamburg in 2007, we have quickly grown into a global company with offices in major cities such as London, New York, Berlin and Tokyo. And we still have a lot of plans.

Our constant growth does not only prove our success, but also keeps creating new development and career opportunities for our employees. We value and celebrate our diverse culture. You are welcome here for who you are, no matter where you come from, what you look like, or whether you prefer bar graphs to pie charts. Are you ready to join us?

About Statista Healthcare 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 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 harmonize 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, standardizing 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. 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.

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.

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 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.