Consultant – Healthcare Data Analytics

Statista

Data Science Consultant working with healthcare data analytics at Statista. Supporting data-driven quality measurement and transformation projects globally and driving actionable insights.

Posted 5/18/2026full-timeHamburg • 🇩🇪 GermanyMid-LevelSeniorWebsite

Tech Stack

Tools & technologies

AWSCloudETLPythonSQLTableau

About the role

Key responsibilities & impact

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.
Actively contribute ideas for new data-driven healthcare products and improvement of existing workflows

Requirements

What you’ll need

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. 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

Benefits

Comp & perks

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

ATS Keywords

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Hard Skills & Tools

data analyticsdata modelingapplied statisticsPythonSQLdata visualizationETLELTdata wranglingdata pipelines

Soft Skills

analytical mindsetcuriositymotivationcollaborationcommunication

Certifications

Master’s degree in Data ScienceMaster’s degree in StatisticsMaster’s degree in Computer ScienceMaster’s degree in Public Health