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
- Bachelor’s degree in Management, Engineering, Logistics, Supply Chain Management, Sustainability, Data Science, or a related field.
- Fluency in English (written and spoken); additional languages are an advantage.
- Strong analytical and data analysis skills, with proficiency in MS Office, particularly Excel and PowerPoint.
- Experience with additional data analysis tools or programming languages is considered a plus.
- Prior experience in logistics or sustainability is beneficial but not mandatory.
- Excellent communication skills, paired with strong attention to detail and the ability to manage multiple tasks effectively.
- Team-oriented mindset with a proactive, solution-driven approach.
- Genuine interest in logistics, sustainability, and emerging technologies.
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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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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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Vollzeit | Praktikum
Salzburg, Villach
21.11.2025
Salzburg, Villach
Wir sind das "I" und "T" in Retail...:
- Gemeinsames Lösen von coolen und herausfordernden Aufgaben
- Mitarbeit bei spannenden Digital Retail Projekten für alle Geschäftsbereiche der SPAR Österreich Gruppe
- Eigenständige Umsetzung der Anforderungen aus dem IT- sowie Fachbereich
- Entlastung des Teams hinsichtlich organisatorischer und administrativer Aufgaben
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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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Your responsibilities
- Design, implement and maintain data ingestion, transformation and provisioning
- Design data models and data architecture for effective data processing and storage
- DataOps: orchestrate and monitor data load processes, ensure data quality
- Support Machine Learning Operations (MLOps) with high-quality data products
- Create and maintain documentation
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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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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
- Bachelor’s degree in Supply Chain or Operations Management (or equivalent practical experience); experience in data science is a plus.
- Fluent in English; German language skills are beneficial.
- 2–4 years of experience in a similar business field — production processes, data setup, operations, or master data management.
- Strong knowledge of ERP systems (SAP required), with hands-on experience managing BOMs and recipe data.
- Proficient in Excel and MS Office, with strong analytical skills and attention to detail.
- Proven ability to ensure data accuracy and maintain consistency across systems and stakeholders.
- Proactive, open-minded, and motivated, with a strong sense of ownership and a continuous improvement mindset.
- Ability to work independently and coordinate cross-functional projects effectively.
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RESPONSIBILITIES
- 7+ years in IT infrastructure architecture or related roles.
- Bachelor’s or Master’s degree in Computer Science, Information Technology, or related field.
- English mandatory, German optional.
- Proven expertise in data integration platforms (e.g., Azure Data Factory) and/or disaster recovery planning.
- Strong knowledge of hybrid cloud environments (Azure, AWS).
- Proficiency in virtualization, storage, networking, and backup technologies.
- Familiarity with automation tools and Infrastructure as Code (IaC).
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RESPONSIBILITIES
- Lead the implementations and rollouts of services across Red Bull and its subsidiaries.
- Coordinate scope, budget, time, quality and external implementation teams/partners.
- Deliver projects based on Red Bull project management standards and principles. Collaborate closely with external vendors, internal teams such as architects and business partners.
- Oversee stakeholder engagement, risk mitigation and test management activities.
- Drive roadmaps and solutions to the company’s benefit.
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What can you expect?
- You will develop, operate and optimize the pan-European Built-to-Stock (BtS) vehicle configurations (= Order Templates) in a Group function (BMW and MINI)
- You will determine the best BtS vehicle configurations by combining Data & Analytics, Market & Retail partner feedback.
- You are responsible to constantly monitor the BtS Template performance by utilizing dashboards and AI to analyze data, ensuring operational excellence, informed decision-making and continuous improvement in close collaboration with the BI network and the team.
- You will prepare and present decisions for the Stock and Template Advisory Circle (STAC) as a Group function
- You will contribute to a regular exchange with relevant central interfaces (e.g. ordering, stock management, volume planning, young used car management) and market-based sales functions (e.g. area manager)
- You will contribute to the adoption of highly automated processes to guarantee mass capability for the whole European Region
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What can we expect?
- A degree in business administration, logistics or comparable fields of science with initial professional experience in the automotive industry in an operational stock management role (or comparable).
- Alternatively, you have completed your vocational training and have at least 5 years of professional experience in an operational stock management role (or comparable).
- Experience with the BMW Group ordering system IVS-R will be a plus.
- Familiarity with BMW Group Products and Processes and confidence to handle and communicate with various Interface partners, e.g. with specialist departments, central functions and 3rd party providers.
- The ability to accurately track inventory and run predefined reports.
- Good organizational and planning skills.
- Personal initiative and 100% reliability.
- Team spirit and intercultural skills.
- Fluent in business English
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Your Responsibilities:
- Provide disciplinary leadership and development for a team of technical experts, fostering a high-performance and collaborative culture.
- Oversee the implementation and global rollout of a company-wide PLM solution, ensuring alignment with business goals and stakeholder requirements.
- Coordinate the integration of PLM, working closely with the Process and Data Organization (PDO).
- Lead process optimization initiatives across departments, ensuring efficient and scalable solutions.
- Manage external service providers, including contract governance, performance monitoring, and budget control.
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RESPONSIBILITIES
- University degree in computer science / similar study or equal practical experience
- At least 3 years of professional experience within an IT department or consulting company
- Hands-on experience in IT project management and in the global roll-out and delivery of business applications
- Demonstrated ability to collaborate across functions or work with external partners
- Understanding of software development and system architecture (data models, integration of systems, programming languages and APIs) is beneficial
- Experience with management, configuration and implementation of SaaS based solutions is valuable
- A good understanding of AI concepts and frameworks to drive applications and foster innovation is a plus
- Knowledge and experience in requirement engineering (user story creation, process modelling, prototyping, …) or business analysis is beneficial
- Proactive working style, excellent communication skills in English (German is a plus) paired with performance- and result-orientation
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RESPONSIBILITIES
- Master’s or bachelor’s degree in a relevant field, such as product management, UX design, software engineering, computer science or some years of practical experience in this field.
- Solid track record as a Product Manager, ideally in a B2B or B2E environment.
- Experience in Service Design or UX Design is a strong plus.
- Fluent in English, German is a plus
- Effective communicator, explaining complex concepts to non-technical stakeholders, motivating change, and fostering collaboration across diverse teams.
- Proactive, take ownership, and embrace collaboration with partners across disciplines to deliver great experiences.
- Analytical and problem-solving skills with a knack for data-driven decision-making.
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