RESPONSIBILITIES
- Minimum of 2-3 years of professional experience as a data professional (e.g. data engineer, data scientist) or in a business/IT consulting position
- Strong and proven knowledge in SQL and database cloud solutions, ideally Snowflake, combined with proficiency in standard data architecture design and modelling.
- Expertise in using Python and Git/Github is expected; familiarity with PySpark and Snowpark will be a strong plus
- Experience in creating interactive web apps (e.g., using Streamlit or RShiny) and knowledge of business intelligence tools like Tableau and Power BI are beneficial
- Strong communication and presentation skills.
- Team-player and collaborative (“copy-left” vs “copyright”).
- Proactive, self-motivated, and able to work on different projects in parallel.
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Deine Aufgaben:
- Du arbeitest dich gerne in verschiedene, neue Fachthemen ein und möchtest den Business Kontext von Daten, Prozessen, Anwendungen und Systemen verstehen
- Mit deinem verantwortungsbewussten und selbstständigen Arbeitsstil sowie deiner Hands-On Mentalität treibst du die Weiterentwicklung der Data Governance voran
- Du besitzt kritisches und interdisziplinäres Denkvermögen mit einem hohen Maß an Qualitätsbewusstsein
- Du bist kommunikations- und verhandlungsstark und bringst eine lösungsorientierte Denk- und Handlungsweise mit
- Du bist ein Teamplayer und arbeitest gerne an abteilungsübergreifenden Zielen
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WAS DICH ERWARTET
- Implementierung, Entwicklung und Optimierung von Stammdatenverwaltungssystemen mit dem Schwerpunkt auf Data Governance und Prozessstandardisierung
- Definition und Pflege von Datenstandards und -richtlinien, um Konsistenz und Abstimmung in allen Geschäftsbereichen sicherzustellen
- Überwachung und Verbesserung der Datenqualität durch routinemäßige Audits, Bereinigungsmaßnahmen und Compliance-Checks
- Zusammenarbeit mit funktionsübergreifenden Teams, um datengesteuerte Prozesse zu verbessern und Systemintegrationen (ERP/CRM) zu unterstützen
- Umfassende Dokumentation, Schulung und Benutzerunterstützung, um bewährte Verfahren im Datenmanagement zu fördern
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RESPONSIBILITIES
- University degree in a relevant field
- At least 7 years of professional experience in the analytics field, preferably within an FMCG (fast-moving consumer goods) environment
- Knowledge of SAP BW/BI/BW4HANA and SAP SAC is essential; familiarity with other databases (e.g., SAP BDC, Snowflake, Data Bricks) or front-end technologies (e.g., PowerBI, Tableau) is a plus
- Interest in Supply Chain processes and data sets in the context of reporting, analytics, and planning
- Experience in managing projects, delivering and rolling out applications, as well as in running applications and managing their lifecycle for changes and enhancements
- Strong analytical and conceptual skills, paired with a collaborative and proactive mindset, agility, and adaptability to changing circumstances
- Self-motivated team player with good communication skills in English (German is a plus), performance-driven, and result-oriented
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RESPONSIBILITIES
- 2+ years of experience in internal communications, training development, or a related field, with proven ability to create clear, engaging, and audience-appropriate content.
- Strong written and verbal communication skills in fluent English, with the ability to translate technical or data-related concepts into accessible language for diverse audiences.
- Experience in developing training materials, presentations, e-learning content, and visually appealing materials using tools such as PowerPoint, Canva, or Adobe Creative Suite.
- Ability to collaborate effectively with cross-functional teams, gather feedback, and summarize engagement metrics to continuously improve communication and learning initiatives.
- Interest in data concepts, tools, and technologies—such as data visualization, analytics, or reporting platforms—to support effective communication and training in a data-driven environment.
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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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RESPONSIBILITIES
- Extensive Project Management experience - Highly skilled in structuring, facilitating, and leading meetings and workshops to align diverse stakeholders, foster collaboration, and achieve actionable outcomes
- Expertise in leading complex end-to-end process design and conceptual discussions to streamline workflows, mitigate risks, and deliver innovative solutions.
- Comprehensive knowledge of end-to-end processes in Finance (Operations, and Sales is a plus), with particular experience in the FMCG industry. Proficient in systems such as SAP ERP FI/CO, Arriba, X-Suite, BIS, Provisions & Payables, E-invoicing, EDI Interfaces, Liquidity Forecast, and related business processes and data structures.
- Highly experienced in gathering, challenging, and translating business requirements to system integration concepts
- Creative problem-solving and adaptability
- System affinity, conceptual strength and holistic view
- Strong analytical skills, solution- and process oriented, structured, assertiveness, communicative and collaborative, team player, able to work under pressure and self-dependently
- Strong communication and presentation skills
- End to End Operations know-how, FMCG environment preferred
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RESPONSIBILITIES
- Minimum of 4 years of professional experience in the IT field, preferably in a consulting or cross-functional role
- Strong governance skills with a structured, conceptual approach
- Advanced data analysis capabilities to support fact-based decision-making
- Solid understanding of IT management processes and financial aspects
- Proven experience in communicating with senior leadership and external partners
- Excellent stakeholder management skills in English and preferably in German
- Persistence, proactivity, and flexibility in solving complex and abstract problems
- Excellent interpersonal skills for collaboration in an informal team-oriented culture
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RESPONSIBILITIES
- 2+ years of experience in data quality, data management, or a related analytical role, with a proven ability to investigate inconsistencies and identify root causes.
- Bachelor’s degree in Information Management, Data Analytics, Computer Science, Business Administration, or a related field, or equivalent experience in data operations, reporting, or issue management; exposure to data governance, data quality, or process management is a plus.
- Fluent, business-proficient English skills, suitable for working exclusively in an English-speaking environment and communicating clearly across all stakeholder groups.
- Strong analytical, documentation, and technical skills, including proficiency in Excel and SQL (or comparable tools), to categorize, track, summarize, and analyze data quality issues effectively.
- Clear communication and stakeholder management abilities, with experience working with ticketing systems (e.g., ServiceNow, Jira) and applying structured processes while working independently and ensuring accountability.
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RESPONSIBILITIES
- Minimum 3+ years of combined, relevant experience in international law firms and/or in-house legal departments of an international company.
- Degree in law or economic law from a reputable university; a postgraduate degree is an advantage. CIPP/E or a comparable data privacy qualification is also beneficial.
- Solid knowledge of European data privacy law, experience in supporting and advising strategic and international projects and stakeholder management.
- You have sharp analytical and communication skills and a strong aptitude for technology. You are diligent, proactive, collaborative, and have demonstrated excellent legal and business judgment and strategic thinking.
- You are able to evaluate complex topics and conclude well-balanced risk assessments.
- Excellent organizational skills and solution-oriented, with a well-structured and pragmatic working style.
- Strong proficiency in English, with German as an additional working language being a plus.
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RESPONSIBILITIES
- Minimum 5+ years of combined, relevant experience in data protection, privacy compliance and/or cybersecurity in international law firms, legal consulting firms and/or in-house legal departments of an international company.
- A degree in Law or Economic Law from a reputable university is required. A postgraduate degree or a degree in IT is considered an advantage.
- Excellent command of English is essential. Proficiency in German as an additional working language is a high plus.
- CIPP/E or other data privacy and IT-related qualifications are highly desirable.
- Experience in implementing Privacy Compliance Programs/Frameworks and leading strategic legal projects in an international company.
- Solid knowledge of European data privacy laws and emerging data regulations (such as Data Act, NIS2, CRA).
- You have sharp analytical and communication skills, a strong aptitude for technology, and a strategic mindset that balances attention to detail with a hands-on, solution-oriented approach.
- Motivated by long-term projects, you take a holistic view of compliant data handling and bring excellent organizational skills, a pragmatic working style, and a well-structured, solution-driven mindset to your work.
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RESPONSIBILITIES
- Minimum of 3 years working experience in the Business Intelligence area with project involvement, ideally gained as a Controller, IT Consultant, Business Consultant, Business Analyst or Requirement engineer
- Advanced level of Microsoft Excel/Word/PowerPoint skills as well as project management tools such as JIRA, Confluence and Workfront
- Solid controlling/accounting background and understanding of financial processes
- Ability to understand complex processes, identify risks and find solutions
- High attention to detail with excellent organizational and analytical skills and the capability to handle multiple projects and stakeholders
- Strong communication and presentation skills for internal and external stakeholders
- Team player, self-motivated, goal-oriented, flexible and able to work under pressure in a fast-paced environment
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RESPONSIBILITIES
- 5+ years of experience in Data Science. Previous experience working on Data Science topics in Operations / Supply Chain is a plus.
- Programming: proficient in at least one of R, Python, SQL with the ability and willingness to learn the other two.
- Data Literacy: ability to prepare datasets ensuring top quality such that essence of said data and the implications for the problem at hand can be grasped quickly.
- Technical Literacy: applied understanding of modern computing allows the candidate to do things which go beyond the strict definition of Data Science (git, API calls, web crawling, …).
- Statistical Reasoning: applied understanding of Stats and Probability and know how to use these tools to reduce uncertainty in a business context (regression, visualisation).
- Project Management: able to navigate evolving requirements, prioritise effectively, and scope work in a way that balances impact, effort, and stakeholder needs.
- Presentation Skills: present coherent data stories at the appropriate level of abstraction given the audience.
- Stakeholder Management: skilled at building mutually beneficial connections with functional stakeholders.
- Pragmatic Critical Thinking: intuitively consider relevant costs/benefits in all decisions and act accordingly.
- Outcome Driven: highly motivated to add value and to demonstrate that impact to the organisation.
- Scientific Reasoning/ Scoping: ability to define and formulate new questions, in addition to answering given ones.
- Grit: proven capability to see things through to the end even if initial feedback is discouraging.
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RESPONSIBILITIES
- 4+ years of experience in Data Science. Previous experience working on Data Science topics in Operations / Supply Chain is a plus.
- Masters or Doctorate in relevant field, for instance: Mathematics, Operations Research, Science (including data, computer, behavioural, social, e-con, ...).
- Programming: know at least one of R, Python, SQL with the ability and willingness to learn the other two
- Data Literacy: ability to prepare datasets ensuring top quality such that essence of said data and the implications for the problem at hand can be grasped quickly
- Statistical Reasoning: theoretical and applied understanding of Stats, Probability and ML Algorithms and know how to use these tools to reduce uncertainty in a business context (regression, visualization)
- Technical Literacy: applied understanding of modern computing allows the candidate to do things which go beyond the strict definition of Data Science (git, API calls, web crawling, …)
- Presentation Skills: present coherent data stories at the appropriate level of abstraction given the audience
- Stakeholder Management: skilled at building mutually beneficial connections with functional stakeholders
- Pragmatic Critical Thinking: intuitively consider relevant costs/benefits in all decisions and act accordingly
- Outcome Driven: highly motivated to add value and to demonstrate that impact to the organization
- Scientific Reasoning/ Scoping: ability to define and formulate new questions, in addition to answering given ones
- Grit: proven capability to see things through to the end even if initial feedback is discouraging
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Die Rolle
- Mindestens 5–7 Jahre Berufserfahrung in der Produktion von Business-Events, im MICE-Management, Community-Management oder in der internen Kommunikation
- Sicherer Umgang mit digitalen Kommunikationstools und -plattformen (z. B. MS Teams, Projektmanagement-Software, Adobe Creative Suite, Figma)
- Nachweisliche Erfahrung in der Entwicklung und Umsetzung von Change-Management-Konzepten
- Hervorragende organisatorische Fähigkeiten, inklusive starker Selbstorganisation und ausgeprägtem Projektmanagement-Know-how
- Kreative Denkweise kombiniert mit solidem betriebswirtschaftlichem Verständnis
- Exzellente schriftliche und mündliche Kommunikationsfähigkeiten
- Eigenständig, zuverlässig und belastbar in einem dynamischen Umfeld
- Analytisches Denken sowie prozessorientierte Arbeitsweise in Verbindung mit konzeptioneller Stärke
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Wir möchten die Welt bewegen
- Mitwirkung bei der Erstellung von Datenreports und Analysen
- Mitarbeit an Projekten zur Datenmodellierung und Datenintegration
- Mitarbeit bei Ausrollung konzernweiter Data Governance
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RESPONSIBILITIES
- Experience in FMCG, Business, or IT, with strong project management and problem-solving skills
- University Degree in Economics, Business Administration or similar or equal practical experience
- Excellent English skills, German is an advantage
- Analytical mindset with great attention to detail, structured thinking, and a process-driven approach
- Proficient in Microsoft Office; experience with BI tools or coding languages (e.g. Power BI, Tableau, Python, SQL) is a plus
- Strong communication, presentation, and organizational skills to clearly convey insights and solutions
- Self-motivated learner who works well independently and in teams
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Vollzeit
Salzburg, Wien
12.12.2025
Salzburg, Wien
Wir möchten die Welt bewegen
- Planung und Koordination von Business Intelligence- und Data Engineering-Projekten inklusive Stakeholder-Management
- Erhebung, Analyse und Übersetzung fachlicher Anforderungen in technische Lösungen (Requirements Engineering)
- Verwaltung und Priorisierung des Backlogs in Azure DevOps
- Entwicklung und Betrieb von effizienten Datenmodellen und Power BI Reports
- Kontinuierliche Optimierung von ETL-Prozessen zur Verbesserung der Datenqualität
- Proaktive Identifikation und Umsetzung von Lösungen zur Optimierung interner Prozesse und Entscheidungsfindung
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Die Rolle
- Abgeschlossene kaufmännische Ausbildung (HAK/HBLA-Matura, Lehre) oder Hochschulstudium.
- Einschlägige Erfahrung als Team Assistenz oder einer ähnlichen Funktion in einem internationalen Umfeld.
- Fließende Englischkenntnisse, Deutsch von Vorteil.
- Gute MS Office Kenntnisse und anderer relevanter Softwareprogramme wie SAP, Workflow-Applikationen und weiterer Anwendungen.
- Teamplayer mit ausgezeichneten Kommunikations- und interkulturellen Fähigkeiten sowie Organisations- und Zeitmanagementfähigkeiten.
- Proaktive Persönlichkeit, die Verbesserungspotenzial erkennt und qualitätsorientiert arbeitet.
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YOUR RESPONSIBILITIES
- Lead the development and implementation of condition monitoring, notifications, and predictive service across PALFINGER
- Collaborate with cross-functional teams to gather, align, and prioritize requirements for predictive service use cases
- Analyze customer journey, technical capabilities, and market needs to define high-impact projects
- Manage projects from concept to delivery — ensuring scope, quality, budget, and schedule compliance
- Continuously explore and integrate innovative machine learning and data science methods into predictive service offerings
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RESPONSIBILITIES
- 5+ years’ experience in media monitoring, sponsorship analysis, or related fields (agency background preferred).
- Strong analytical mindset with the ability to structure and interpret data (ETL) into actionable insights.
- Proven experience sourcing and evaluating earned media and monitoring data, with expertise in managing external suppliers or outsourced teams.
- Familiarity with social media platforms and analytics tools (e.g., Sprinklr, native reporting dashboards).
- Basic understanding of Python and motivation to grow technical skills.
- Proactive, adaptable, and curious, with a passion for sports, culture, and data storytelling.
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RESPONSIBILITIES
- 2+ years of FMCG experience (beverages industry preferred)
- Bachelor’s or Master’s degree
- Fluent in English, with strong written and verbal communication skills
- Team player with a process-oriented mindset and knowledge of sales processes
- Experience in International Sales, Business Insights, and Data Science
- Strong project management skills
- Background in Econometric Modelling & Statistics
- Proficient in MS Excel, Access, PowerPoint; knowledge of SAP BI, Power BI, Tableau; SQL or R is a plus
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Karriere bei COPA-DATA
- Weiterentwicklung und Wartung der Softwareplattform zenon, insbesondere für die Service Engine und das Engineering Studio.
- Planung, Entwicklung und Wartung von Softwarelösungen
- Erarbeitung neuer Features und kontinuierliche Verbesserung der bestehenden Software.
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Vollzeit | Freelancer, Projektarbeit
What we are looking for:
- Translate graphical user interface (GUI) texts and technical documentation from English (US) to Japanese.
- Update and review existing Japanese translations.
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Vollzeit | Freelancer, Projektarbeit
What we are looking for:
- Translate graphical user interface (GUI) texts and technical documentation from English (US) to Korean.
- Update and review existing Korean translations.
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Die wesentlichen Tasks sind:
- Evaluieren und Integrieren neuer Technologien in der Softwareentwicklung
- Arbeiten an Frontend- und Backendkomponenten unserer zenon-Softwareplattform für den industriellen Einsatz
- Entwicklung von Applikationen in den Bereichen IIoT, Identity, Datenmodellierung und Dashboarding
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RESPONSIBILITIES
- Previous internships or part-time roles in process analysis, business improvement, or data analytics are a plus.
- Familiarity with process mining concepts, tools (e.g., Celonis), and methodologies are a plus.
- Strong analytical mindset with the ability to interpret data and identify actionable insights.
- Effective communication skills to interact with both technical and non-technical stakeholders.
- Organizational skills to manage documentation and ensure knowledge retention.
- Eagerness to learn and adapt to new tools and methodologies in process mining.
- Willingness and ability to quickly learn new process mining and automation tools and methodologies.
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Fast Facts
- Wo: Salzburg
- Welche Möglichkeiten gibt es:
- Reguläre Lehre: Die reguläre Lehrzeit ist 4 Jahre
- Lehre mit Matura: Am Freitag werden die Lehrlinge freigestellt und besuchen den 6-stündigen Maturakurs für das jeweilige Fach.
- Verkürzte Lehre: Je nach vorheriger Ausbildung kann die Lehre auch verkürzt absolviert
- Duale Akademie
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Anforderungen:
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Abgeschlossene kaufmännische oder technische Ausbildung (HAK, HBLA, HLW, HTL bzw. Lehre) -
Einschlägige Berufserfahrung im Handels- bzw. Vertriebsumfeld, idealerweise Technologiebezug und im B2B-Kontext -
Sicheren Umgang mit MS-Office und anderen gängigen Programmen (CRM, ERP [WAWI]) -
Eine offene, freundliche und kommunikative Art sowie ausgeprägten Teamgeist -
Kundenorientiertes Denken und Handeln sowie interkulturelle Kompetenz -
Genaue, selbstständige und strukturierte Arbeitsweise -
Sicheres Deutsch und Englisch in Wort und Schrift -
Großes Interesse an Software und Technologien -
Bereitschaft zu gelegentlichen Reisen
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Your tasks
- Manage and develop COPA-DATA’s representative organization in Brazil, ensuring alignment with regional sales, marketing, and partner objectives across the Americas.
- Develop and execute energy-sector business and partner strategies aligned with both our global goals and the regional growth priorities of the Americas
- Build and maintain strong relationships with system integrators and key accounts
- Identify and onboard new partners that align with our long-term strategy
- Monitor energy market trends, grid modernization programs, and digitalization initiatives to adapt regional strategy
- Coordinate partner initiatives and industry projects to ensure impactful delivery and visible business outcomes
- Support sales teams with manufacturing-industry insights, value propositions, and competitive positioning during sales pursuits
- Coordinate communication, forecasting, and strategic planning between COPA-DATA USA Corp. and the representative organization in Brazil to strengthen regional consistency and visibility
- Collaborate with internal Industry and Product Management to translate energy-sector needs into solution content and go-to-market initiatives
- Gather and share intelligence on manufacturers, OEMs, and automation partners to inform regional strategy.
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