YOUR RESPONSIBILITIES
- Collect, clean, and validate data from various sources (e.g. LifeCycle, ServiceMax) to ensure accuracy and consistency
- Develop and maintain dashboards and reports using tools like e.g. Power BI, Excel
- Analyze data trends and patterns to support business decisions and identify improvement opportunities
- Collaborate with stakeholders to understand reporting needs and translate them into actionable insights
- Automate reporting processes to improve efficiency and reduce manual effort
- Monitor key performance indicators (KPIs) and provide regular updates to management
- Ensure data governance and compliance with internal and external standards
- Support ad-hoc analysis requests and provide data-driven recommendations
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Dein Aufgabenbereich – Gestalte die Zukunft mit KI
- Strategie & Governance: Du entwickelst gemeinsam mit der Geschäftsleitung und IT eine unternehmensweite KI-Strategie und schaffst den organisatorischen Rahmen für nachhaltige KI-Initiativen
- Wissensvermittlung: Du konzipierst Schulungen, Workshops und Best-Practice-Leitfäden, um Kolleg*innen aus verschiedenen Abteilungen im Umgang mit KI-Technologien fit zu machen
- Innovation & Use Cases: Du identifizierst neue KI-Anwendungsfelder, analysierst Prozesse auf Automatisierungspotenzial und führst Machbarkeitsstudien durch
- Projektverantwortung: Du steuerst KI-Projekte operativ und technisch – von der Idee über die Umsetzung bis zur Evaluation – und fungierst dabei als Schnittstelle zwischen IT, Fachbereichen und externen Partnern.
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Das sind deine Aufgaben:
- Verantwortung für die Weiterentwicklung und Optimierung unserer mobilen App und datengetriebenen digitalen Produkte – von der Roadmap bis zum Release.
- Zusammenarbeit mit Digital Products Lead, Entwicklung, UX/UI, Data-Teams und Stakeholdern, um Nutzerbedürfnisse und Unternehmensziele zu vereinen.
- Priorisierung und Pflege des Product Backlogs, Erstellung von User Stories und Sprint-Planung.
- Organisation und Moderation von Team-Meetings und Workshops.
- Analyse von Nutzerfeedback, App-Daten und Daten aus unserem Data Lake (z. B. via Analytics- und BI-Tools), um datengetriebene Entscheidungen zu treffen.
- Unterstützung bei Marktrecherchen, Usability-Tests und Validierungen.
- Planung und Begleitung von Releases – inklusive Testing und Kommunikation.
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YOUR RESPONSIBILITIES
- Develop, maintain and optimize Business Intelligence and reporting solutions to enhance financial and business performance tracking
- Design and manage efficient data warehouses for streamlined data storage and retrieval, leveraging AI where applicable
- Implement data-driven controlling strategies, ensuring accuracy, transparency and reliability in financial assessments
- Ensure data integrity and consistency across multiple systems
- Utilize advanced analytics and visualization tools (e.g., Power BI, Tableau, SQL, Python) to create insightful reports and dashboards
- Collaborate with cross-functional teams to improve data collection processes and drive continuous improvement
- Support the automation of controlling workflows by identifying opportunities for increased efficiency
- Build and simulate financial models, providing analysis, budgeting, ROI calculations and other insights to support business planning
- Define and implement standardized processes and reporting structures for budgeting and financial reporting, with a strong focus on process improvement and simplification
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Vollzeit
Bozen, Marostica
04.12.2025
Bozen, Marostica
- Verwaltung und Optimierung von Deploy-, Monitoring- und Automatisierungsprozessen auf Microsoft Fabric
- Unterstützung des Data Engineering Teams beim Aufbau skalierbarer und zuverlässiger Datenpipelines
- Definition und Umsetzung von CI/CD-Praktiken für Fabric-Komponenten (Lakehouse, Dataflows Gen2, Notebooks, Pipelines)
- Performance-, Kosten- und Sicherheitsmonitoring der Plattform
- Entwicklung von unterstützenden Tools und Skripten (z. B. PowerShell, Python, Terraform/Bicep)
- Dokumentation und Förderung von DevOps/DataOps Best Practices im Team
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Vollzeit
Bolzano, Milan
07.11.2025
Bolzano, Milan
Brands of Oberalp-Group
- Design and implement data pipelines to extract, transform, and load data from various sources, including databases, cloud storage, and APIs.
- Maintain and improve existing data pipelines and models, ensuring they are efficient and reliable.
- Support IT and business colleagues in Business Intelligence and Advanced Analytics modelling.
- Collaborate with data scientists and analysts to support data-driven decision making.
- Identify opportunities to optimize data pipelines and suggest new approaches to improve efficiency and reliability.
- Write and maintain documentation for data pipelines and processes.
- Implement CI/CD processes for data pipelines and work with DevOps teams to ensure smooth deployment and operation (DataOps).
- Drive system problem resolution and root cause analysis
- Ensure and maintain integrity of code base during concurrent development cycles
- Collaborate with experts in a variety of technologies to come up with the best overall solutions
- Collaborate with cross functional team to resolve data quality and operational issues
- Identify opportunities for team standardization in coding, deployments, documentation, and other related areas and create said standards
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YOUR RESPONSIBILITIES
- Ensure proper setup, maintenance, and governance of master data records (customer, supplier, material, product, and further domains as defined)
- Define and enforce master data quality standards and governance processes to ensure consistency, accuracy, and reliability
- Monitor and report on master data quality KPIs; drive corrective and preventive actions
- Design, implement, and optimize business processes directly related to master data, ensuring end-to-end efficiency and compliance with internal policies and external regulations
- Ensure cross-application process alignment across ERP, CRM, PLM, and other platforms
- Collaborate with business units and IT to align master data and process requirements with organizational needs
- Support strategic program planning (e.g., ERP, CRM), ensuring data and process readiness and ensure master data quality readiness for the running SAP implementation project
- Drive continuous improvement in master data management and data-driven processes through automation, analytics, and best practices
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Das sind Ihre Aufgaben:
- Definition von Strategien und Meilensteinen zur digitalen Transformation
- Steuerung von unternehmensweiten Digitalprogrammen und Initiativen
- Integration von Digital- und AI-Themen in die Gesamtstrategie von IDM
- Sicherstellung der nachhaltigen Umsetzung durch Erfolgsmessung, KPI-Monitoring und kontinuierliche Optimierung
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YOUR RESPONSIBILITIES
- Design, develop and implement large-scale projects for cloud-based systems
- Planning, definition of requirements, development, testing, and quality assurance of the software development lifecycle for AWS solutions
- Identify, analyse and resolve infrastructure troubleshoot incidents and application deployment issues and implement preventative measures
- Provide guidance on the implementation of new cloud-based initiatives, through appropriate training
- Modernise and consolidate IT infrastructure and implement the best cloud-based solutions for the company, to ensure continued impact on growth
- Customise AWS applications to make the business more secure and efficient
- Monitoring the migration process of the new applications to the cloud so that it is seamless and in line with the organisation's operations
- Definition and documentation of the best practices and strategies for application deployment and infrastructure maintenance
- Ensure application and cloud environment performance, maintaining high standards and complying with company security policies
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