Marketing | Wels | Möbelix Zentralverwaltung Wels | Vollzeit, Teilzeit
- Unterstützung beim Aufsetzen, Pflegen und Optimieren von Google Ads und/oder Social Media Kampagnen
- Mitarbeit bei der Textgestaltung und Anzeigenprüfung sowie bei der Zielgruppen- und Keyword-Auswahl
- Erstellung von regelmäßigen Reportings & Performance-Auswertungen (z. B. CTR, ROAS, Conversions)
- Unterstützung bei der Budgetkontrolle und Kampagnen-Monitoring
- Pflege von Werbemitteln, Anzeigenstrukturen und Landingpages in enger Abstimmung mit dem Team
- Mitwirkung bei A/B-Tests, Feed-Prüfungen und Ad-Hoc-Analysen
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RESPONSIBILITIES
- At least 3 years of practical experience in the field of data, data modelling and data driven decisions
- Data or media technology focused education or equivalent work experience
- Fluent in English, German is a plus
- Strong experience with (big) data technologies and best practices managing large datasets
- Very good communication and organization skills
- Proficiency with data modelling and engineering, Big Data, ETL/ELT, SQL, DDD
- Persistent, systemic and analytical thinking with an attention to detail
- Experience in media data setups (recommended)
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RESPONSIBILITIES
- Coordinate and oversee scope, budget, time, quality, and external implementation teams/partners.
- Execute projects following Red Bull project management standards and principles.
- Collaborate with external vendors and internal teams such as architecture and business partners.
- Manage stakeholders, risks, and testing processes.
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RESPONSIBILITIES
- Support the formulation of technology strategy in response to spotted disruptive external or internal forces and its operationalization.
- Drive IT Landscape Engineering through proactive and deliberate management of the IT landscape beyond investment planning horizons. This involves operationalizing strategy, identifying drivers for change, and defining architecture directions to address these with stakeholders.
- Analyze business strategy and business future-state capabilities to identify Strategic Themes to detect gaps and opportunities for improvement in the current IT Landscape in line with the IT Strategy to enable the business achieving targeted outcomes.
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Ihre Aufgaben
- Actively drive transformation of BWT to become a Data Driven Company by further developing our “BWT AQALyze” Platform
- Be part of “BWT AQALyze” and create the future with us
- Take responsibility for business intelligence projects or business analytics projects
- Supporting to build the group-wide data warehouse with your experience as Controller, Data Analyst, Product Owner, Data Engineer, Data Scientist or UX Designer
- Specification, implementation, testing, documentation, training and supporting of “BWT AQALyze” requirements
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Purpose & key responsibilities of the role
Along with internal teams and external partners, you will manage and further develop the Lenzing customer platforms, including the E-Branding Services management You will collaborate cross-functionally to identify and implement process improvements that enhance efficiency, streamline workflows and enable better utilization of data and analytics to support business decisions You will formulate a digital product strategy in alignment with corporate and business strategy, translating it into a clearly articulated and continuously updated product roadmap You will oversee the Lenzing Traceability Project to increase transparency and traceability across the value chain, leading and coordinating the platform integration project and ensuring the new system captures and is aligned with all necessary Lenzing requirements You will lead, mentor and develop the digital product management team, establishing clear goals, fostering collaboration and supporting team integration and performance You will set and manage budgets for digital projects and branding initiatives, monitoring and optimizing resource allocation based on business needs
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Purpose & key responsibilities of the role
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You will design and implement Commercial Excellence programs to enhance value-based selling practices -
You will develop strategies to target customers by industry, needs, and profitability to optimize commercial efforts -
You will lead projects to enhance sales effectiveness, collaborating closely with business unit teams in Textile and Nonwovens -
You will ensure standardized and user-friendly sales reporting that facilitates effective decision-making -
You will drive the ongoing development and adoption of new or improved sales management tools and processes
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RESPONSIBILITIES
- Prepare global sales reports
- Overseeing the monthly financial close process, including reconciliation of internal systems
- Coordinate the monthly accrual process
- Analysis of global sales volume, value, and trade investments using business analysis tools
- Perform ad hoc calculations
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RESPONSIBILITIES
- You become a well-trusted finance business partner and sparring partner for our Marketing Departments. You work closely with them and support them in all financial and budget-related matters.
- You do this driven by a service mentality and by challenging, asking questions, and giving suggestions and insights.
- Moreover, you support the Marketing Departments in various projects and requests.
- In this role, you help to coordinate the Business Plan/Revised Estimates with budget owners, support and challenge them on realistic planning (monthly phasing, CAPEX/OPEX, guideline compliance, etc.)
- You take ownership of supporting subsidiaries in resolving issues and continuously improving these processes.
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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.
- Bachelors degree in Business Administration, Finance, Economics, Business Informatics, IT.
- Profound knowledge of system-based planning (BSS) and reporting tools – ideally SAP, SAP BW, SAP BI-IP Planning, S4/HANA, Hyperion Financial Management and SAP Analytics Cloud.
- 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 organisational 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.
- Excellent command of English, working knowledge of German is a plus, but not a requirement.
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Ihre Aufgaben
- Ansprechpartner:in für alle Themen rund um Business Warehouse / Business Intelligence der voestalpine Steel Division
- Analyse von Business-Anforderungen und Beratung der Fachbereiche zu den technischen Lösungsoptionen
- Team Lead für die Expert:innen in den Fachgebieten SAP BW, Azure Synapse, Power BI und Oracle SQM Datawarehouse
- Aufbau, Konzeption, Design, Implementierung und Weiterentwicklung der Business Intelligence und Datawarehouse Lösungen mit Ihrem Team
- Definition von Design- und Umsetzungsleitlinien sowie Unterstützung des Citizen Developer Ansatzes
- Sicherstellung des 3rd Level Supports
- Erstellung und Aktualisierung von technischen Dokumentationen und Benutzerhandbüchern
- Sicherstellung der Einhaltung von Datenschutz- und Sicherheitsstandards
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RESPONSIBILITIES
- 2+ years of experience in the FMCG sector, ideally within the beverage industry.
- Strong verbal and written communication skills, with a team-oriented mindset and the ability to engage effectively with stakeholders at various levels.
- A structured, process-oriented approach with a deep understanding of sales processes.
- Hands-on experience in International Sales Business Insights, Distributor/Wholesaler (DP/WHS) Management, and Field Sales Management.
- Proven experience in managing projects, with the ability to drive initiatives from conception to execution.
- Strong analytical skills, including experience with econometric modelling and statistical analysis.
- Proficiency in MS Excel, Access, and PowerPoint; knowledge of SAP BI, Power BI, and Tableau; familiarity with SQL or R is a plus.
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RESPONSIBILITIES
- 4+ years of experience in Data Science. Previous experience working as a Machine Learning Expert is a plus
- Masters or Doctorate in relevant field, for instance: Mathematics, Statistics, Science (including data, behavioural, social, econ, ...)
- Good command of English, both spoken and written. German a plus
- 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
Thalgau
14.07.2025
Thalgau
Die Rolle
- 8+ years of proven success delivering in performance environments across sport organizations and constituencies.
- Deep understanding of elite athlete performance testing and programming in multiple domains of sport.
- Minimum - Masters in Sport Science or equivalent.
- Experience of higher-level performance support in professional and/or Olympic disciplines.
- Proven experience in applied performance science support.
- Creative, strategic thinker capable of bridging vision/science with practical execution in sport environments.
- Widely connected in the physical performance field, both with scientists, coaches, experts and potential partners.
- Excellent communication skills.
- Fluent in written and spoken English (additional languages desirable)
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