3 Reporting Data Quality Jobs in Flachgau
YOUR RESPONSIBILITIES
- Define, document, and continuously improve engineering data structures, processes, and data models in systems such as Teamcenter and SAP S/4HANA
- Establish and maintain data-governance standards for data creation, changes, phase-out, quality, and usage
- Monitor engineering-data quality, lead enrichment and cleansing initiatives, and develop KPIs and reporting mechanisms.
- Support data migration, conversion, and system implementations or upgrades while ensuring data consistency and integrity across platforms.
- Collaborate with cross-functional stakeholders, build a network of product-data experts, and provide training and coaching to promote best practices
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YOUR RESPONSIBILITIES
- You govern the global Service process landscape, ensuring quality, consistency, lifecycle management and documentation approvals
- You own the global Service change request backlog, coordinating cross‑process input, supporting prioritization and conducting structured impact evaluations (business value, profitability, Clean Core, scalability)
- You design and maintain cross‑system roles and authorization concepts, ensuring SoD compliance and alignment with global governance standards
- You support the implementation of global process templates and operational changes, coordinate incidents and govern justified exceptions while minimizing process customization
- You coordinate Service reporting requirements, ensure end‑to‑end process KPI definitions, and act as a governance and quality gate between business stakeholders, process experts and the data & analytics organization, driving effective communication and end‑user enablement
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RESPONSIBILITIES
- Recently graduated, ideally in HR, Business, Psychology or a related field.
- Previous exposure to HR, Talent Acquisition or People Operations through internships, working student roles or projects is a plus, not a requirement.
- Fluent in written and spoken English.
- Comfortable working with data and detail; Excel skills are a strong asset.
- Knowledge or interest in using AI tools to improve work efficiency is a plus.
- Structured and organized, with the ability to manage several workstreams at once.
- Curious and proactive, and not afraid to ask questions across different areas of work.
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