Ihre Aufgaben
- Sie treiben sowohl die Weiterentwicklung, Kommunikation als auch Trainings hinsichtlich des konzernweiten Cyber Security Incident Response Prozesses voran
- Sie überwachen und analysieren Cyber Security relevante Alarme aus unterschiedlichen Quellen (z.B. SIEM / XDR / Ticketing System)
- Sie bearbeiten Cyber Security Incidents, übernehmen Schritt für Schritt die Durchführung von Detailanalysen sowie die eigenständige Koordination und initiieren je nach Bedarf die Umsetzung von erforderlichen Maßnahmen
- Sie entwickeln den Themenbereich Cyber Intel im Sinne von Sammlung, Analyse und Verteilung im Konzern weiter. Basierend auf diesen Threat Intelligence Informationen und dem Wissen über die voestalpine Infrastruktur betreiben Sie aktives Threat Hunting und gehen in die Koordination mit den betroffenen Geschäftseinheiten
- Ein weiterer Teil Ihrer Aufgaben umfasst die Neu- und Weiterentwicklung von SOC-spezifischen Tools und Skripten. Diese tragen zur Automatisierung bei und ermöglichen uns auf die sich ändernde Bedrohungslage effizient zu reagieren
- Die Unterstützung des konzernalen IT Security Teams bei der Konzeption und Umsetzung von konzernweit eingesetzten Security Lösungen rundet Ihr Aufgabengebiet ab
|
ÜBER UNS
- Interpretation und Analyse: Überwachung und Interpretation nationaler und internationaler regulatorischer Anforderungen und deren Auswirkungen auf uns als EZB-geprüfte Bank, v.a. in den Themenfeldern Sanierungs- und Abwicklungsplanung sowie Beteiligungsrisiko
- Risikobewertungen: Berechnung und Auswertung von Modell-, Simulations- und Stresstestergebnissen
- Berichterstattung: Unterstützung bei der Erstellung von Berichten und Meldungen an Aufsichtsbehörden und interne Stakeholder
- Projektmitarbeit: Mitarbeit bei Projekten zur Implementierung neuer aufsichtsrechtlicher Anforderungen und Optimierung bestehender Prozesse
|
Deine Aufgaben
- Du entwickelst und betreust maßgeschneiderte Applikationen in C# zur Unterstützung und Optimierung unserer automatisierten Abläufe und Prozesse.
- Du verantwortest den gesamten Lebenszyklus dieser Applikationen, von der Konzeption und Entwicklung bis hin zur Wartung und Weiterentwicklung im laufenden Betrieb.
- Neben der Applikationsentwicklung integrierst du Schnittstellen (z.B. REST APIs) und stellst durch gründliche Tests deren zuverlässige Funktion im laufenden Betrieb sicher.
- Du nutzt Scripting und andere Tools, um interne Prozesse durch gezielte Automatisierung weiterzuentwickeln.
- Du analysierst und behebst Software-Probleme im Bereich der Applikationsentwicklung und Automatisierung.
- Du arbeitest eng mit anderen Abteilungen und Fachbereichen zusammen, um Anforderungen abzustimmen und einen reibungslosen Betrieb sicherzustellen.
|
RESPONSIBILITIES
- University Masters degree, such as Mathematics, Econometrics, Statistics, Physics, Computer Science, Engineering etc.
- Minimum of 2 years experience, ideally with Data Science experience in the field of Retail /consumer goods data and Marketing Mix Modeling
- Experience in using commercial statistical software packages, e.g. R, Python etc.
- Experience in econometric modelling (systems and analysis)
- Excellent analytical skills, communication and active listening skills
- Good understanding of marketing principles, as well as Consumer/Shopping behavior
|
Deine Aufgaben:
- Spannende Projekte und abwechslungsreiche Aufgaben bei einem innovativen und etablierten Automatisierungstechnikunternehmen
- Viel Spielraum für Eigeninitiative in einem dynamischen Team
- Möglichkeit eigene Ideen einzubringen und technische Lösungen aktiv mitzugestalten
- Je nach Erfahrungslevel und Engagement Einsatz auf verschiedenen Betätigungsfeldern im Rahmen der Projektumsetzung möglich
- Flexible Arbeitszeiten
|
Deine Aufgaben:
- Spannende Projekte und abwechslungsreiche Aufgaben bei einem innovativen und etablierten Automatisierungstechnikunternehmen
- Viel Spielraum für Eigeninitiative in einem dynamischen Team
- Möglichkeit eigene Ideen einzubringen und technische Lösungen aktiv mitzugestalten
- Je nach Erfahrungslevel und Engagement Einsatz auf verschiedenen Betätigungsfeldern im Rahmen der Projektumsetzung möglich
- Flexible Arbeitszeiten
|
Die Rolle
- 4 years’ experience working as a software or data engineer
- Ability to design & build both maintainable as well as reliable Python code.
- English fluency
- Abillity to design and implement of complex SQL queries
- Experience building data processing pipelines in Python (Apache Airflow).
- Experience with test driven development & writing well tested software applications.
- Experience with big data solutions offered by major cloud providers (esp. Google Cloud).
- Experience with building critical software components with high uptime guarantees is a plus
- Experience with Apache Kafka or related stream processing frameworks is a plus.
|
Deine Aufgaben:
- Betreuung und Weiterentwicklung von Anwendungen im Betrieb sowie Erweiterung unserer Schnittstellen
- Aktive Beteiligung an der Konzeption und Umsetzung von Neu- und Weiterentwicklungen
- Anwendung von Scripting-Kenntnissen (z.B. PowerShell, Groovy, Bash, Python) zur Automatisierung und Optimierung von Prozessen
- Zusammenarbeit mit und Steuerung von externen Partnern
- Leitung und Mitarbeit in Projekten zur Einführung neuer Standard-Software-Lösungen
- Betreuung von Anwendungen im gesamten LifeCycle (DevSecOps)
- 2nd Level Support (Incident Management, Benutzerbetreuung) und Benutzeranlage sowie Rechteverwaltung in Fachanwendungen
|
RESPONSIBILITIES
- 3+ years of experience in an analytical role, preferably within the Streaming Media or Digital Marketing industries; Bachelor’s or Master’s degree in Data Analytics, Statistics, Computer Science, Engineering, Business, Operations Research, or a related field.
- Sharp analytical thinking skills, with a structured and methodical approach to problem-solving, and a proactive, results-driven mindset.
- Strong ability to query large, unstructured data using SQL; experience with at least one statistical programming language (e.g., Python, R) and modern BI tools (e.g., Tableau, Power BI, Looker).
- Excellent communication skills, both verbal and written, with the ability to translate business questions into technical requirements.
- Fluent in English; additional languages are a plus; willingness to learn new tools and skills is essential.
|
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.
|
RESPONSIBILITIES
- Professional experience in the field of data & process governance
- Solid Finance background and good understanding of Finance processes are essential
- Technical experience with ERP/EPM/BW systems or corresponding reporting/analysis solutions (e.g. SAP BEx Web, Crystal Reports, BO Analysis and Analytics Cloud, Tableau) is beneficial
- Programming skills (e.g. VBA, R, Python) are perceived as an asset
- High attention to detail with excellent organisational and analytical skills, and the capability to handle multiple projects and stakeholders
- Ability to understand complex system correlations, quickly identify and analyse solution delivery risks & impacts as well as to define alternatives & prioritizations
- Ability to communicate effectively with both business & technical teams as well as global stakeholders
- Excellent command of English, working knowledge of German is a plus, but not a requirement
- High attention to detail and excellent organisational skills.
- Team player, self-motivated, goal-oriented, flexible, and able to work under pressure in a fast-paced environment.
|
RESPONSIBILITIES
- University Degree in Economics, Business Administration or similar or equal practical experience
- Excellent English skills, German is an advantage
- Work experience preferably within a FMCG environment (ideally in the field of Business or IT)
- Proven project management skills
- High proficiency in Microsoft Office
- Problem solver with can do attitude, who can transform ideas into practical and workable solutions
- Excellent attention to detail, process driven and structured
- Excellent organisation, presentation, and communication skills to present findings in a clear and compelling manner
- Learner, self-motivated and able to work both independently and as part of a team
- Experience with data analysis tools, BI tools and other statistical software or coding languages is an advantage (such as SAP Analytics Cloud, Power BI, Tableau, Trifacta, R, Python, SQL…)
|
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
- 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
- Previous experience managing a team is 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
- 2+ 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
- 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
|
