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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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
- 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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Ihre Aufgaben
- Fachlicher Lead für konzernale Analytics-Anwendungen im Rahmen unserer 2-Plattformstrategie (MS / SAP)
- Übernahme der Aufgabensteuerung und Mitarbeiter:inneneinsatzplanung
- Repräsentation des Teams gegenüber den maßgeblichen Entscheidungsträger:innen und Leistungsempfänger:innen der voestalpine Divisionen
- Mitarbeit in der Weiterentwicklung und im Applikationssupport unserer Analytics-Services
- Operative Steuerung des Leistungszukaufs und der Mitarbeit bei Projekten
- Sicherstellung hoher Kund:innenorientierung und Effizienz
- Durch die innovative Erfüllung dieser Aufgaben tragen Sie einen wesentlichen Teil zur weltweiten IT-Landschaft der voestalpine bei
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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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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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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
- 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
- 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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Die Rolle
- Master’s degree or PhD in a quantitative field (e.g., Statistics, Mathematics, Computer Science) and relevant experience in quantitative analytics or statistics (e.g., from internships or part-time roles).
- Advanced skills in statistical modelling (R, Python) and experience with database languages (e.g., SQL).
- Strong knowledge of statistical techniques such as regression, classification, and hypothesis testing.
- Ability to create clear, insightful visualizations (e.g., ggplot, R Shiny, Data Studio) and present complex topics in an understandable way.
- Strong communication and interpersonal skills, with a passion for continuous learning and personal development.
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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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