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HYHypatos
Working Student / Part-Time Enablement Data & Content Specialist(m/w/x)
Berlin
Part-timeWorking StudentWith Home Office
AI/ML
Data Science
Nejo AI Summary
Building AI-driven datasets and simulating enterprise data scenarios for back office automation. Strong understanding of data structures and business processes required. Personal development budget, meal allowance, and hybrid work.
Requirements
- Information Systems, Business Informatics, Data Analytics, Computer Science, or similar background, or equivalent hands-on experience
- Strong understanding of data structures and relational logic
- Understanding of business processes, ideally in finance/operations
- Ability to work with and structure complex datasets
- Experience using AI tools to generate, refine, and scale data and content
- High attention to detail and structured, analytical thinking
- Ability to independently drive tasks and manage ambiguity
- Exposure to SAP or other ERP systems
- Experience with data generation, scripting, or automation (e.g., Python, SQL)
- Experience in content creation, instructional design, or documentation
- Understanding of invoice processing, accounting, or enterprise workflows
- Strong data mindset (thinking in tables, relationships, consistency)
- Business curiosity (interest in how real-world processes and companies operate)
- Comfort leveraging AI tools to work efficiently and creatively
Tasks
- Support building master data and transactional datasets
- Ensure logical relationships across datasets
- Create realistic and consistent enterprise data scenarios
- Simulate business-relevant transactions
- Create sample business documents for training and testing
- Support development and enhancement of training materials
- Improve clarity, structure, and visual quality of content
- Contribute to building engaging learning experiences
- Design hands-on labs and simulations
- Build realistic business scenarios for training and validation
- Support development of assessment and certification content
- Coordinate enablement sessions, onboarding pilots, and Q&A workshops
- Collect structured feedback after sessions
- Translate feedback into improvement actions
- Continuously refine datasets, documents, and learning materials
Education
- Bachelor's degree
Languages
- English – Business Fluent
Tools & Technologies
- AI tools
- SAP
- ERP systems
- Python
- SQL
Benefits
Additional Allowances
- Personal development budget
- Meal allowance
Healthcare & Fitness
- Sporting activities
Snacks & Drinks
- Free beers
Flexible Working
- Hybrid working model
Informal Culture
- Diverse and inclusive environment
Find the original job posting in its most current version here. Nejo automatically captured this job from the website of Hypatos and processed the information on Nejo with the help of AI for you. Despite careful analysis, some information may be incomplete or inaccurate. Please always verify all details in the original posting! Content and copyrights of the original posting belong to the advertising company.
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HYHypatos
Working Student / Part-Time Enablement Data & Content Specialist(m/w/x)
Berlin
Part-timeWorking StudentWith Home Office
AI/ML
Data Science
Nejo AI Summary
Building AI-driven datasets and simulating enterprise data scenarios for back office automation. Strong understanding of data structures and business processes required. Personal development budget, meal allowance, and hybrid work.
Requirements
- Information Systems, Business Informatics, Data Analytics, Computer Science, or similar background, or equivalent hands-on experience
- Strong understanding of data structures and relational logic
- Understanding of business processes, ideally in finance/operations
- Ability to work with and structure complex datasets
- Experience using AI tools to generate, refine, and scale data and content
- High attention to detail and structured, analytical thinking
- Ability to independently drive tasks and manage ambiguity
- Exposure to SAP or other ERP systems
- Experience with data generation, scripting, or automation (e.g., Python, SQL)
- Experience in content creation, instructional design, or documentation
- Understanding of invoice processing, accounting, or enterprise workflows
- Strong data mindset (thinking in tables, relationships, consistency)
- Business curiosity (interest in how real-world processes and companies operate)
- Comfort leveraging AI tools to work efficiently and creatively
Tasks
- Support building master data and transactional datasets
- Ensure logical relationships across datasets
- Create realistic and consistent enterprise data scenarios
- Simulate business-relevant transactions
- Create sample business documents for training and testing
- Support development and enhancement of training materials
- Improve clarity, structure, and visual quality of content
- Contribute to building engaging learning experiences
- Design hands-on labs and simulations
- Build realistic business scenarios for training and validation
- Support development of assessment and certification content
- Coordinate enablement sessions, onboarding pilots, and Q&A workshops
- Collect structured feedback after sessions
- Translate feedback into improvement actions
- Continuously refine datasets, documents, and learning materials
Education
- Bachelor's degree
Languages
- English – Business Fluent
Tools & Technologies
- AI tools
- SAP
- ERP systems
- Python
- SQL
Benefits
Additional Allowances
- Personal development budget
- Meal allowance
Healthcare & Fitness
- Sporting activities
Snacks & Drinks
- Free beers
Flexible Working
- Hybrid working model
Informal Culture
- Diverse and inclusive environment
Find the original job posting in its most current version here. Nejo automatically captured this job from the website of Hypatos and processed the information on Nejo with the help of AI for you. Despite careful analysis, some information may be incomplete or inaccurate. Please always verify all details in the original posting! Content and copyrights of the original posting belong to the advertising company.
About the Company
Hypatos
Industry
IT
Description
The company is an AI/Machine Learning technology firm focused on automating back-office tasks through advanced Deep Learning solutions.
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