RESPONSIBILITIES
- Bachelor's or Master's degree in Data Science, Business Analytics, or a related field.
- 3+ years of experience in data analytics roles, preferably within the sports industry.
- Advanced proficiency in data analysis tools and programming languages (e.g., SQL, Python, R).
- Strong collaboration and communication skills, with the ability to work effectively across multiple soccer clubs within the Red Bull network.
- Passion for soccer and a commitment to contributing to the success of a collaborative and dynamic sports organization.
- General skills/knowledge:
- Inter-personal contact
- Diplomacy
- Conceptual working
- Organize, prioritize and coordinate multiple tasks
- Flexibility
- Analytical thinking
- Problem solving
- Hands-on mentality
- Performance and result orientation
- Positive attitude and a strong commitment to delivering high-quality work
- Team player
- Languages: fluent in German and English
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Welcome to Yourself
- Konzeptionierung und Implementierung einer umfassenden SEO-Strategie zur Steigerung der organischen Sichtbarkeit und des Website-Traffics
- Durchführung von Keyword-Recherchen zur Identifikation und Priorisierung von Chancen für On-Page- und Off-Page-Optimierungen
- Erstellung von Briefings für unser Wissenschaftsteam & Einpflege des Contents
- Technische SEO-Analyse und -Optimierung der Website-Struktur, der Ladezeiten, der Indexierbarkeit und anderer technischer Faktoren
- Überwachung und Analyse der SEO-Performance mittels verschiedener Analysetools (z.B. Google Analytics, Google Search Console, Sistrix, SEMrush)
- Entwicklung von Linkbuilding-Strategien und Durchführung von Off-Page-Optimierungen zur Verbesserung des Domain-Rankings
- Reporting von SEO-Kennzahlen an den Digital Business Owner & Ableitung von Optimierungsmaßnahmen
- Zusammenarbeit mit dem Content- und Webentwicklungsteam, um SEO-Best Practices in alle Online-Aktivitäten zu integrieren
- Durchführung von Wettbewerbsanalysen und Marktbeobachtungen, um neue SEO-Potenziale zu identifizieren
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RESPONSIBILITIES
- Enhance user experience by providing innovative ways of working, supported by modern cloud applications, connected with tailor-made integration patterns.
- Elevate the user analytics landscape through the adoption of state-of-the-art technologies combined with custom-designed integration patterns.
- Stay up-to-date with modern technologies and the latest trends and evaluate potential integration to the Red Bull IT landscape.
- Ensure the documentation maintenance and effectively onboard colleagues and facilitate a seamless transition of projects to the development team.
- Contribute to IT landscape design and architecture strategy.
- Foster continuous process improvement initiatives while ensuring seamless service delivery. Craft detailed team documentation and dynamic presentations to enhance clarity and smart communication.
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RESPONSIBILITIES
- Minimum of 3 years of professional experience as an Operations or Logistics Controller
- Degree in Business Administration with a focus on Finance/Controlling/Logistics/Supply Chain Management
- Excellent knowledge in English
- Experience in the area of cost-type and cost-unit controlling
- Excellent analytical, communication, problem solving and stakeholder management skills
- Experience with SAP ERP (FI/CO, SD), SAP TM, SAP BI, and Oracle Hyperion is beneficial
- Good command of advanced analytics and data visualization tools (Python, R, PowerBI, Tableau) is a plus
- Analytics mindset, Future vision focus, and passion for working with numbers
- Accuracy, reliability, flexibility, and result orientation
- Proactive, self-motivated, self-reliant and able to work under pressure in a fast-paced team environment
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RESPONSIBILITIES
- 5+ years’ experience in digital search marketing, specializing in organic SEO tactics.
- Extensive understanding of Google's standards including keyword targeting, on-page optimization, content, and UX.
- Demonstrated capability to manage multiple projects concurrently, prioritizing tasks efficiently in a dynamic environment.
- Proficiency in digital search marketing tools such as Google Analytics, SEMrush, alongside strong project management and analytical abilities.
- Team player mentality with strong interpersonal and communication skills for cross-functional collaborations; Excellent verbal and written communication skills in English, adept at simplifying complex concepts effectively.
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RESPONSIBILITIES
- At least 4 years of relevant experience in Project Management/IT/Finance/Controlling
- University Degree in Business Administration or Finance
- Fluent in English, German is a plus
- 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, Hyperion, etc.)
- Experience in project management and creating reporting solutions
- Understanding of complex technical solutions and general technical affinity
- Experience in the FMCG industry and/or focus on sales controlling is an advantage
- Ability to understand complex processes, identify risks and find solutions
- Results-oriented team player with strong communication and presentation skills
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RESPONSIBILITIES
- Calculation of costs for all finished goods (including semi-finished goods).
- Forecasting costs of goods for new product requests from all countries.
- Support of the operations department with regard to different processes in SAP and drive optimization.
- Creation of Ad-Hoc analysis.
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Welcome to Yourself
- Eigenverantwortliche Konzeption, Umsetzung und Optimierung von performancestarken der Digital Paid Kampagnen (Meta und Google Ads) zur Kundengewinnung und Kundenbindung
- Analyse und Controlling sämtlicher Digital Paid Maßnahmen, sowie anschließende Erfolgsmessung und Ableitung von Handlungsempfehlungen
- Eigenständige Kreation von Captions sowie Erstellung von Briefings für Creatives (eigene Grafikkenntnisse von Vorteil)
- Mediaplanung und Budgetverwaltung
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DAS LERNST DU BEI UNS UND IM STUDIUM.
- Umsetzung und Planung agiler Projekte
- Programmiersprachen (bspw. Python)
- IT-Sicherheit und technischer Datenschutz
- Mathematische Schlüsselkompetenzen
- Analyse von Problemen sowie deren Kommunikation und Lösungsfindung
- Analyse, Extrahierung, Aufbereitung und Präsentation von Daten
- Alles rund um Big Data, Data Analytics, Data Mining, Machine- & Deep-Learning, Artificial Neural Networks etc. in der Unternehmenspraxis
- Theoretische und praktische Kenntnisse in spannenden Vorlesungen des Studiums wie bspw. Computorial Thinking, Robotik, Datenerhaltung, objektorientierte Programmierung, Deep Learning und Modelbildung/ Simulation
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