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Analytics Engineer - Healthcare(m/w/x)
Description
As an Analytics Engineer in the healthcare sector, you will transform diverse data into reliable datasets, ensuring seamless collaboration with teams to maintain high-quality data for analysis and reporting.
Let AI find the perfect jobs for you!
Upload your CV and Nejo AI will find matching job offers for you.
Requirements
- •Deep knowledge of data modeling approaches
- •Hands-on experience with dbt, Snowflake, AWS, PowerBI, SQL, and Python
- •Strong grasp of relational database concepts and performance tuning
- •Data quality, observability, and documentation for modeled layers
- •Healthcare-aware governance experience
- •Bachelor’s or Master’s in Computer Science, Data Science, Engineering, or related field
- •3+ years of experience designing and delivering complex data architectures
- •Healthcare domain experience
- •Strong analytical mindset and ability to transform complex data
- •Fluency in English, German a plus
- •Highly structured, curious, and motivated to work in an international environment
Education
Work Experience
3 years
Tasks
- •Implement and evolve data architecture in the warehouse
- •Design and maintain scalable data models for reporting
- •Define metrics and maintain versioned documentation
- •Communicate complex technical concepts to stakeholders
- •Collaborate with analytics and data platform teams for seamless data flow
- •Lead structured documentation of data models and maintain transparency
Tools & Technologies
Languages
English – Business Fluent
German – Basic
Benefits
Flexible Working
- •Hybrid work and flex-time
Workation & Sabbatical
- •Work from abroad 10 days a year
Team Events
- •International team and social events
Modern Equipment
- •Free access to Perplexity Enterprise
Career Advancement
- •Career & training opportunities
Modern Office
- •Attractive locations and modern offices
Mental Health Support
- •Mental health support
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Analytics Engineer - Healthcare(m/w/x)
The AI Job Search Engine
Description
As an Analytics Engineer in the healthcare sector, you will transform diverse data into reliable datasets, ensuring seamless collaboration with teams to maintain high-quality data for analysis and reporting.
Let AI find the perfect jobs for you!
Upload your CV and Nejo AI will find matching job offers for you.
Requirements
- •Deep knowledge of data modeling approaches
- •Hands-on experience with dbt, Snowflake, AWS, PowerBI, SQL, and Python
- •Strong grasp of relational database concepts and performance tuning
- •Data quality, observability, and documentation for modeled layers
- •Healthcare-aware governance experience
- •Bachelor’s or Master’s in Computer Science, Data Science, Engineering, or related field
- •3+ years of experience designing and delivering complex data architectures
- •Healthcare domain experience
- •Strong analytical mindset and ability to transform complex data
- •Fluency in English, German a plus
- •Highly structured, curious, and motivated to work in an international environment
Education
Work Experience
3 years
Tasks
- •Implement and evolve data architecture in the warehouse
- •Design and maintain scalable data models for reporting
- •Define metrics and maintain versioned documentation
- •Communicate complex technical concepts to stakeholders
- •Collaborate with analytics and data platform teams for seamless data flow
- •Lead structured documentation of data models and maintain transparency
Tools & Technologies
Languages
English – Business Fluent
German – Basic
Benefits
Flexible Working
- •Hybrid work and flex-time
Workation & Sabbatical
- •Work from abroad 10 days a year
Team Events
- •International team and social events
Modern Equipment
- •Free access to Perplexity Enterprise
Career Advancement
- •Career & training opportunities
Modern Office
- •Attractive locations and modern offices
Mental Health Support
- •Mental health support
About the Company
Statista
Industry
Healthcare
Description
The company is the world's leading business data platform, providing reliable data and analytics products to empower fact-based decisions.
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