RESPONSIBILITIES
- Advanced undergraduate student, post graduate student, or recent graduates (Bachelor’s / Master's degree) in Computer Science, Data Science, or a related field.
- Fluent in English, German is a plus
- Familiarity with programming languages and scripting (e.g., Python)
- Basic understanding of cloud computing platforms (ideally AWS)
- Comfortable working with data having first experience with data visualization tools (e.g., Tableau, Looker)
- Knowledge of SQL to query databases and data products
- Strong interest in data-driven decision making
- Affinity for media and automation is a big plus
- Ability and courage to challenge the status quo as well as the willingness to investigate new solutions and technologies
- Self‑driven and communicative team player
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YOUR RESPONSIBILITIES
- Implement, develop, and optimize master data management systems with a focus on data governance and process standardization
- Define and maintain data standards and policies to ensure consistency and alignment across all business areas
- Monitor and improve data quality through routine audits, cleansing activities, and compliance checks
- Collaborate with cross-functional teams to enhance data-driven processes and support system integrations (ERP/CRM)
- Maintain comprehensive documentation, training, and user support to promote best practices in data management
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RESPONSIBILITIES
- Enrolled student or recent graduate (Bachelor’s or master’s level) in Information Systems, Digital Transformation, Business Informatics, IT Management or a related field.
- Fluent in English, German is a plus.
- Strong analytical thinking and structured working style, with an interest in understanding processes and improving them.
- Ability to communicate clearly and reliably in a professional, cross-functional environment.
- Interest in Digital Workplace topics, enterprise IT collaboration tools and processes.
- Hands-on mindset with a willingness to support both operational and coordination-heavy tasks.
- Basic familiarity with tools such as Jira, Airtable, Confluence or similar systems is an advantage, but not a prerequisite.
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YOUR RESPONSIBILITIES
- Ensure data quality in engineering for the AWP product line, including SAP data checks, approvals, and data cleansing
- Collaborate within the Palfinger Process and Data Organization (PDO) to test and roll out new processes, software, and updates (SAP, SIGNAVIO, etc.)
- Provide 1st-level SAP support and act as the global point of contact for the AWP development department
- Organize and deliver training sessions on SAP engineering guidelines in German and English
- Create and maintain standardized engineering guidelines and documentation in both languages
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YOUR RESPONSIBILITIES
- Design, implement, and optimize driver-based planning models across Regions, Functions and Productlines
- Lead the design and optimization of enterprise planning and forecasting models with a strong focus on automatization, governance and data quality
- Translate business drivers into actionable data models within annual budgets, rolling forecasts and strategic planning
- Partner with Data Analytics teams to ensure seamless data integration from ERP and data warehouse systems and govern Planning & Consolidation metadata, hierarchies, and business rules
- Collaborate with senior stakeholders and provide decision-support analytics, scenario modeling, and variance analysis to actively further shape our Planning & Consolidation strategy
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