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
- 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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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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RESPONSIBILITIES
- Collaborate with project teams to collect and consolidate updates, ensuring accurate and timely reporting of portfolio performance
- From project initiation through project closing, you’ll monitor project health (including timeline & budget), track deliverables, and coordinate cross-portfolio dependencies to help deliver company-wide results
- Assess project risks, anticipate challenges such as delays, or resource constraints and execute mitigation strategies while keeping stakeholders informed
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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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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
- 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
- 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
- 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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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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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
- 3 years experience in supply chain planning (ideally with knowledge of material requirements planning)
- Degree (Bachelor/Master) in Business Administration, Operations Management or similar OR qualification with relevant professional experience in the field
- Fluent in English, German is a strong plus
- Experience in state-of-the-art planning processes and systems (eg. SAP IBP)
- Interested in working within a fast-paced environment, within a global organization
- Strong analytical skills and fact-based decision making
- Open minded, collaborative and solution oriented
- Focused and Proactive
- Good interpersonal skills - Team player
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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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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
- Project Management Fundamentals: Basic understanding of project management principles, methodologies (like Agile or Waterfall)
- Software Tools: Familiarity with SAP FI, SAP CO, SAP FIORI, JIRA, Confluence, Workfront and Figma (very nice to have).
- Microsoft Office Suite: Proficiency in Word, Excel, and PowerPoint for documentation, data analysis, and presentations.
- Sought after Skills: highly organized professional, effective and strategic communication skills, attention to detail, teamwork and collaboration, adaptability, interpersonal skills, unwavering drive for taking initiative, and research competence in gathering, analyzing, and presenting relevant information.
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YOUR RESPONSIBILITIES
- Develop and enhance SAP applications using ABAP and related technologies (e.g., CDS Views, OData services)
- Contribute ideas to improve data models and UI integration (e.g., SAP Fiori)
- Focus mainly on ABAP development within the SAP ecosystem
- Work with modern SAP technologies such as ABAP RESTful Application Programming Model (RAP) and Clean Core principles, continuously improving your skills and actively sharing insights with the team
- Follow best practices in code quality (e.g., ATC checks) and collaborate closely with your team
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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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NovaTaste is a global leader in taste innovation. With its broad portfolio of renowned brands such as WIBERG, Gewürzmüller, Gewürzmühle Nesse, Mühlehof Gewürze, Eppers, McClancy, Piasa, AMCO, Redbrook, BSA WIBERG, and The Mighty, NovaTaste offers a range of value-add savory ingredients and blends to improve taste and texture, as well as extend the shelf life of food products for its customers. NovaTaste has over 2,300 employees and supplies food manufacturers, butchers and foodservice players across Europe, North America and Asia.
- Independent and timely preparation, execution, and review of payroll for our employees in Germany, in compliance with all legal and company-specific regulations
- Point of contact for employees, managers, and external parties regarding payroll tax and social security matters
- Responsible for statutory reporting and certification processes, as well as communication with external authorities and institutions
- Maintenance and administration of employee master data, ensuring data quality
- Preparation of HR statistics and reports
- Support during internal and external audits (e.g., tax audits)
- Close collaboration with HR team colleagues and regular exchange with Finance and Controlling
- Participation in payroll-related projects
- Continuous development and optimization of internal processes
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YOUR RESPONSIBILITIES
- Support reimbursement projects with a focus on financial analysis and documentation
- Track and evaluate reimbursement and refund values, prepare performance reports, and coordinate related review meetings
- Co-develop KPI dashboards to monitor and visualize key performance indicators.
- Collaborate on the setup of a supplier quality system, working cross-functionally with various departments
- Assist in SAP and Claim-on-Supplier implementation projects, ensuring smooth process integration and data accuracy
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RESPONSIBILITIES
- Degree in Business Engineering, Business Administration, or a related field.
- 3-5 years of professional experience in a comparable product development or product management role, ideally within the POS product environment.
- Excellent communication skills (verbal and written) in English; German language skills are a plus.
- Strong procurement skills with basic contract management knowledge.
- Proven success in managing end-to-end product development projects and leading sustainability optimization initiatives, integrating sustainability principles into product design.
- Experience in project and process management, with the ability to handle multiple internal and external stakeholders effectively.
- Strong understanding of structured project management and the ability to work cross-functionally across different departments.
- Expertise in sustainable materials, sustainable product development, or sustainability in design.
- Advanced Microsoft Excel skills for product analysis and reporting; experience with SAP is desirable.
- Ability to adapt and problem-solve in a fast-paced, global organization.
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RESPONSIBILITIES
- University degree (Bachelor's or Master's) with focus on supply chain management or logistics
- Fluent in English, German is considered as a plus
- 3+ years of professional experience in the field of (production) planning, supply chain management, or logistics.
- Experience with SAP S4/HANA, planning systems preferably SAP IBP and master data systems (SAP MDG-M) is advantageous.
- Very good MS Office skills, especially Excel.
- Analytical, precise and structured way of working.
- Process- and solution-oriented, able to work under pressure, organisational talent.
- Team Player mindset! You will be inserted in a multi-cultural and multi-skilled environment.
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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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YOUR RESPONSIBILITIES
- Plan, set up, and launch global and regional performance marketing campaigns across search, display, and social platforms, adapting content and targeting for local markets
- Execute and optimize paid campaigns by monitoring performance, adjusting targeting/bidding/creatives, conducting A/B tests, and collaborating with agencies for creative improvements
- Track and analyze campaign KPIs, engagement, conversions, and lead quality, providing actionable insights to enhance ROI and future campaign performance
- Prepare and present reports on campaign results, supporting the team’s shift toward data-driven marketing practices
- Collaborate with internal teams and external partners to ensure campaigns align with business objectives, sharing best practices across the organization
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RESPONSIBILITIES
- Bachelor's degree in Fashion Design or a related field
- Minimum of 4 years of professional experience in a similar role
- English fluent, German skills are beneficial
- Extensive experience and technical of Outewear, fabrics, function and treatments, bestseller shapes for menswear and womenswear
- Strong Trend research and market research skills
- Superior organizational skills, ability to multitask, meet deadlines, and maintain attention to detail and creativity
- IMPORTANT: Please include a portfolio / website to your application
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