Die Rolle
- 3+ Jahre Berufserfahrung im Bereich Kommunikation oder PR, idealerweise in einer Kommunikationsagentur, Kommunikationsabteilung, im Journalismus oder in der Medienbranche.
- Ausgeprägte Kommunikationsfähigkeiten, hohe sprachliche Kompetenz und sehr gute Kenntnisse der österreichischen Medienlandschaft.
- Kreativität, Gespür für Trends und Zielgruppen sowie Erfahrung in der Entwicklung und Umsetzung von Kommunikationskonzepten.
- Organisationstalent, Teamfähigkeit und eine serviceorientierte, verantwortungsbewusste Arbeitsweise.
- Hohes Interesse an den Themen von ServusTV und ServusTV On, insbesondere Sport, Weltgeschehen, Heimat und Unterhaltung.
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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
- 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.
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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
- 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
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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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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
- Profound knowledge of system-based planning and reporting tools – ideally SAP, SAP BW, SAP BI-IP Planning, S4/HANA, Hyperion Financial Management and SAP Analytics Cloud (SAC)
- 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 organizational 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
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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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