RESPONSIBILITIES
- Minimum of 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.
|
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)
|
RESPONSIBILITIES
- University degree with focus on business administration or supply chain management
- Fluent in English, German is a plus
- Experience with data visualization and dashboarding applications, such as SAP Analytics Cloud, Power BI or other
- Highly organized, detail-oriented, structured thinker with analytical skills
- Studies or experience in Operations or Supply Chain Management, Business Administration or Analytics
- Knowledge in tools for data wrangling, such as Snowflake, Trifacta, SQL or Coding Language is beneficial
|
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
|
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.
|
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.
|
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
|
Ihre Aufgaben
- Operatives Management und Optimierung von PPC-Kampagnen auf Amazon Seller und Vendor Central
- Erstellung, Überwachung und Optimierung von Google Ads-Kampagnen (Search, Shopping)
- Umsetzung von Meta Advertising Kampagnen über den Werbeanzeigenmanager
- Mitwirkung an der Performance-Optimierung von E-Commerce-Shops (v.a. Shopware)
- Unterstützung im E-Mail-Marketing (z. B. Brevo), inklusive Segmentierung und Performanceanalyse
- Durchführung von Keyword-Recherchen, Performanceanalysen & A/B-Tests
- Enge Zusammenarbeit mit Content, E-Commerce, und Data Analytics Teams
|
RESPONSIBILITIES
- Programming: know at least one of Python, SQL, R with the ability and willingness to learn the other two. Snowflake or Databricks knowledge is a plus.
- FMCG Knowledge: prior experience working at an FMCG company in a data or analytics focused role a plus.
- 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: applied understanding of Stats and Probability and know how to use these tools to reduce uncertainty in a business context (regression, visualisation).
- 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: good 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.
|
RESPONSIBILITIES
- 3+ years of experience in a similar role, with a proven track record of successfully delivering data-driven, media-related, or cross-functional projects
- Familiarity with both traditional and agile project management methodologies
- Excellent command of English (written & spoken); German language skills are a strong plus
- Strong organizational and analytical skills, with the ability to self-organize, quickly understand new projects, and translate them into clear tasks and dependencies
- Proven ability to build and maintain effective working relationships with key stakeholders, remain flexible, and adapt priorities throughout the project lifecycle; experience with tools like Airtable, Jira, or Confluence is a benefit
|
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.
|
RESPONSIBILITIES
- Proven experience as a Solution Architect, ideally in a media, data, or content-related environment
- Strong background in Domain-Driven Design (DDD), including hands-on application of methods like event storming and context mapping
- Experience in requirement engineering and stakeholder collaboration to translate business needs into technical solutions
- Degree in computer science with several years of relevant experience
- Fluent in English, German is a plus
- Experience in evaluating build-vs-buy decisions and conducting market research
- Familiarity with agile methodologies and working in cross-functional teams
- Basic knowledge of software engineering, data engineering, and AI, sufficient to discuss technical feasibility with development teams
- Communicative team player with an analytical mind-set willing to take responsibility and drive topics
|
RESPONSIBILITIES
- A minimum of five years of experience in financial controlling or a broader finance function, with a strong understanding of financial statements and financial risk management.
- A university degree in a relevant discipline. An advanced degree or professional certification in Finance (e.g. CPA, CMA) is highly advantageous.
- Excellent knowledge of English, German is a plus.
- Proficiency in financial analysis and database tools, including Microsoft Excel, Power Query, SQL, and Tableau.
- Strong analytical and problem-solving skills, with a focus on financial optimization and cost management.
- Proven ability to work independently and efficiently in a fast-paced environment while managing responsibilities effectively.
- Demonstrated experience in successfully collaborating with cross-functional teams and delivering complex projects.
- Excellent communication skills, with the ability to build strong relationships across the organization.
- Exceptional attention to detail and a proactive approach to process improvement and risk management.
|
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.
|
Ihre Aufgaben
- Entwicklung und Implementierung maßgeschneiderter Dashboards und Reports für unsere internen Kund:innen basierend auf unserer 2 Plattformstrategie
- Implementierung und Optimierung von Daten-Pipelines zur schnelleren Versorgung mit Daten (ETL/ELT-Prozesse, Dataflows etc.)
- Aufbereitung von Daten für Berichte die unsere Kund:innen unterstützten und als Basis zum Einsatz von KI dienen
- Unterstützung unserer Kund:innen bei der Durchführung von Proof-of-Concepts und Schulungen
- Betreuung bestehender Power BI Lösungen im Konzern
- Selbstständige Betreuung der BI Frontend Systeme, dazu gehört Anbindung von verschiedenen Quellsystemen, Erstellung von Datenmodellen und aussagekräftigen Visualisierungen in Dashboards
|
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
|
RESPONSIBILITIES
- At least 4 years of relevant experience in Project Management/ Finance/ Controlling/ Product Management/ IT/ Sales
- University Degree in Business Administration or Finance or IT
- Strong IT skills and technically savvy, familiarity with ERP systems or any integrated business analytics tool is an advantage (SAP - CRM, ERP (SD, FI, COPA), S4/HANA, SAC, BI or Essbase, Oracle, Salesforce, etc.)
- Experience in the FMCG industry and/or focus on sales controlling or revenue management is an advantage
- Ability to understand complex processes, identify risks and find solutions
- Results-oriented team player with strong communication and presentation skills
- Highly organised, proactive and passionate for learning
|
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.
|
Purpose & key responsibilities of the role
-
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
|
RESPONSIBILITIES
- 4+ years' experience of publishing content to major brand social media channels and optimising social content.
- Exceptional understanding, experience and interest in motorsports. The ideal candidate is not just passionate about motorsport – they understand the disciplines we work with, the history and speak the language.
- Strong ability to critically analyse social media, digital products, video consumption patterns, and social media platform algorithms.
- Detailed understanding and awareness of social platform trends, content formats and language with an investigative mind that continually evaluates the changing environment.
- Team-player and self-starter mentality, structured and well-organized with a passion for telling strong and authentic stories.
- Fluent in English. Additional languages not required but considered an asset.
|
