Dr. Spiller Ges.mbH
Vollzeit
Elixhausen bei Salzburg
18.01.2025
Elixhausen bei Salzburg
Ihre Aufgaben
- Weiterentwicklung der bestehenden Website und des Onlineshops
- Entwicklung und Umsetzung von E-Commerce-Strategien
- Analyse der Performance von E-Commerce-Aktivitäten
- SEA-Performance: Optimierung von Google AdWords-Kampagnen
- Koordination und Entwicklung ansprechender Newsletter für unsere Kundengruppen
- Marktrecherche und eigenständige Erkennung neuer Trends und Tools
- Aktives Einbringen von Ideen zur Verbesserung des Online-Einkaufserlebnisses
- Messung und Reporting von relevanten Kennzahlen
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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.
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RESPONSIBILITIES
- University degree in IT or business administration with a focus on computer science, data science, or data engineering.
- Very good English skills. German is beneficial.
- Experience of at least 3 years with analytics tools such as Azure Data Factory, Trifacta, Snowflake, Databricks.
- Experience with query languages such as SQL, and programming languages (R, Python, Scala).
- SAP knowledge (BW, HANA, SAC), and Analytics front-end tools (Tableau, PowerBI) is beneficial.
- Architectural understanding of databases and ETL/ELT pipelines.
- Familiarity with data science and data lake platforms on modern hyperscalers like Azure or AWS.
- Previous exposure to working in a globally operating international company.
- Enthusiasm for both engineering tasks and implementing business requirements.
- Experience within a fast-moving consumer goods (FMCG) environment beneficial.
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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
- 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
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RESPONSIBILITIES
- Currently enrolled in a university program in Data Science/AI, Computer Science, Statistics, Operations Research, or a related field
- Very good English skills, written and spoken
- First experience of programming in R or Python for data analysis and visualisation
- Familiarity with statistical methods and their application to solve real-world problems
- Excellent analytical skills with the ability to interpret data and present results clearly
- Communicates effectively and thrives in a collaborative team environment
- Willingness to learn and proactively take on new challenges
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Die Rolle
- 3-5 years work experience, ideally in an international environment
- Bachelor’s degree (FH / University) in business administration or similar fieldBachelor’s degree (FH / University) in business administration or similar field
- English fluent, German is beneficial
- Excellent Excel skills
- Prior experience with a material management system is beneficial, ideally SAP (MM)
- Advanced data understanding, analytical way of thinking, reliable, and detail-oriented work
- Communicative team player with a structured and precise working style and a love for data
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RESPONSIBILITIES
- University Degree Bachelor or Master
- Excellent command of English (written and spoken), German is a plus
- A minimum of 2 years’ experience in the FMCG industry working with large datasets from multiple data sources (e.g., Nielsen, Circana, GFK, …)
- Good understanding of sales processes and sales data. Proven project management experience with strong external stakeholder management skills
- Ability to communicate effectively in a team environment with multiple internal stakeholders
- Ability to conceptualize and explain complex concepts in a simple way
- Strong analytical ability and a strong affinity for systems
- Methodical and process-driven approach with a performance and resultoriented attitude; hands-on, pragmatic mindset
- Proficiency in Excel and PowerPoint
- Knowledge of data preparation- and visualization tools are preferred but not required (e.g., SAP Analytics Cloud, Power BI, Tableau, Snowflake, Trifacta, “R”, Python, SQL)
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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
- 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
- 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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Die Rolle
- Mindestens 5 Jahre Berufserfahrung im Bereich Produktionsmanagement, als Key-User für Fertigungsanwendungen, im Shopfloor-Management oder als Berater
- Abgeschlossenes Bachelor- oder Masterstudium in Betriebswirtschaft, Supply Chain oder Operations Management, Prozess- und/oder Projektmanagement, UX-Design oder ähnlichem
- Fließend in Englisch und Deutsch
- Vertiefte Kenntnisse von Fertigungsanwendungen und nachgewiesene Erfahrung in der Entwicklung und Umsetzung von Prozessverbesserungen im Bereich der Einführung neuer Produkte
- Fortgeschrittene Kenntnisse der Microsoft Office Suite und Umgang mit Projekt- und Prozessmanagement-Tools/-Methoden
- Umfassende Erfahrung in der Erfassung und Umsetzung von Geschäftsanforderungen in Systemintegrationskonzepte
- Nachgewiesene Kenntnisse im Projekt- sowie Programmmanagement
- Systemaffinität, konzeptionelle Stärke und ganzheitliche Sichtweise
- Ausgeprägte analytische Fähigkeiten, Lösungs- und Prozessorientierung sowie strukturierte und eigenverantwortliche Arbeitsweise
- Durchsetzungsfähige und teamfähige Persönlichkeit mir ausgeprägten Kommunikations- und Präsentationsfähigkeiten
- End-to-End Operations-Know-how, bevorzugt im FMCG-Umfeld
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Die Rolle
- Mindestens 3 Jahre Berufserfahrung im Bereich Produktionsmanagement, (Fertigungs-) Systemarchitektur oder einer PLM-Beraterrolle
- Abgeschlossenes Bachelor- oder Masterstudium in Betriebswirtschaft, Supply Chain oder Operations Management, Prozess- und/oder Projektmanagement oder ähnlichem
- Fließend in Englisch, Deutsch von Vorteil, aber nicht zwingend erforderlich
- Tiefgreifende Kenntnisse der (SAP) Manufacturing Operations Architektur und der Geschäftsprozesse und Datenstrukturen
- Fortgeschrittene Kenntnisse der Microsoft Office Suite und Umgang mit Projekt- und Prozessmanagement-Tools/-Methoden
- Nachgewiesene Expertise in der Entwicklung und Implementierung von Prozess- und Systemverbesserungen im Bereich (Manufacturing) Operations.
- Ausgeprägte Erfahrung im Erfassen, Hinterfragen und Umsetzen von Geschäftsanforderungen in Systemintegrationskonzepte
- Nachgewiesene Kenntnisse im Projekt- sowie Programmmanagement
- Systemaffinität, konzeptionelle Stärke und ganzheitliche Sichtweise
- Ausgeprägte analytische Fähigkeiten, Lösungs- und Prozessorientierung sowie strukturierte und eigenverantwortliche Arbeitsweise
- Durchsetzungsfähige und teamfähige Persönlichkeit mit ausgeprägten Kommunikations- und Präsentationsfähigkeiten
- End-to-End Operations-Know-how, bevorzugt im FMCG-Umfeld
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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.
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RESPONSIBILITIES
- 3+ years’ work experience in Sustainability and/or in the Business Intelligence area with project involvement
- Experience with Business Intelligence and Reporting Systems, ideally SAP ERP-S4, SAP BI, SAP Analytics Cloud, Tableau or any other BI solutions
- University degree in Sustainability, Business Administration, Finance, Economics, Business Informatics, IT or similar
- Up-to-date on sustainability regulations and developments/innovations
- Data-driven, data-enabling and solution-oriented person with the ability to translate complex business requirements into technical concepts/data models and document processes
- Ability to work across multiple teams in a large organisation, align goals and drive overall success independent of organisational boundaries
- Professional communication and presentation skills for internal and external stakeholders
- Proactive, self-motivated and able to work in a fast-paced environment on different projects in parallel
- Passionate about sustainability, environmental protection and social initiatives and feel motivated in your work as a result
- Fluent in English, German is a plus
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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.
- 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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Die Rolle
- Laufendes Studium (Bachelor oder Master) mit Schwerpunkt Project Management, Process Management, Operations Management, Finance, Business Administration, oder Ähnliches
- Deutsch und Englisch fließend in Wort und Schrift
- Teamfähigkeit, Eigeninitiative und Flexibilität
- Strukturiertes Arbeiten, analytisches Denkvermögen und kreative Herangehensweisen
- Sehr gute MS-Office Kenntnisse (insb. Excel, PowerPoint)
- Idealerweise bereits Erfahrung im Projekt- oder Prozessumfeld
- Vorliebe für Prozesse, Daten und Systeme
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Vollzeit | befristet | Praktikum
RESPONSIBILITIES
- An interest in products-apparel and accessories.
- Good Microsoft Office package skills.
- Stamina, enthusiasm and motivation.
- Excellent verbal and written communication skills.
- Precise attention to detail and methodical approach to work.
- Excellent organizational skills and the ability to prioritize.
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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.
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Die Rolle
- Abgeschlossene technische Ausbildung (idealerweise IT) oder einer verwandten Fachrichtung
- Einschlägige Berufserfahrung im Bereich Data Cloud Warehouse Management (Snowflake, Databricks, Google BQ), idealerweise in einem FMCG-Unternehmen
- Idealerweise Kenntnisse im Umgang mit technischen Tools wie Github, DBT
- Praktische Erfahrung mit Orchestrierungstools (z. B. Dagster/Airflow)
- SAP BW Kenntnisse von Vorteil
- Gute Kommunikationsfähigkeiten in Englisch
- Ausgeprägte Führungs- und Kommunikationsfähigkeiten sowie technisches und unternehmerisches Verständnis für Geschäftsprozesse
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RESPONSIBILITIES
- Project management with a strong focus on quality management and process optimization
- Bachelor's degree in music education, communications, digital media, or related fields and/or relevant work experience as project manager or content manager
- Fluent in German and English
- Preferably experience with Airtable and handling of a content CMS
- Motivated team player with a hands-on mentality and willingness to explore a wide variety of content related fields
- Good organisational skills coupled with strong communication, adaptability, and a proactive mindset
- Basic musical knowledge of tone, rhythm, note reading
- First experience with app growth strategies and ASO a plus
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RESPONSIBILITIES
- 3+ years proven experience in business insights or commercial analysis, with a strong track record of turning data into actionable insights.
- Strong analytical skills, with the ability to transform complex data into clear, user-friendly, and easy-to-read reports and actionable insights.
- Well-organized team player with a self-starter mentality, excellent communication and presentation skills, and a high level of accuracy in all work.
- Multicultural knowledge and empathy, with fluency in English; additional language skills are an asset.
- Proficiency in Excel (Pivot Tables, Power Query, etc.), PowerPoint, business intelligence and data visualization tools such as SAP Analytics Cloud, Trifacta, Power BI and Tableau, and data extraction and manipulation tools like SQL and Python.
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RESPONSIBILITIES
- Minimum of 3 years of experience in coordinating/managing cross-functional data related projects in Supply Chain, Logistics and/or Operations management or Controlling.
- Profound business knowledge in reporting and dashboarding applications - ideally SAP BI, SAP Analytics Cloud. End-user knowledge of the following source applications is beneficial but not a pre-requisite – SAP ERP (MM/SD), SAP IBP, SAP TM.
- Proficiency in Microsoft Excel/PowerPoint.
- Data analytics expertise, strong ability to understand data elements, sources, and relationships.
- High attention to detail and excellent organizational skills.
- The capability to handle multiple projects and stakeholders simultaneously.
- 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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Vollzeit | befristet | Praktikum
RESPONSIBILITIES
- Advanced undergraduate students. Currently enrolled as a full-time student in at least the third semester of a business, law, or IT-related major
- Fluent in spoken and written English
- Above-average Microsoft Office skills (especially Word and Excel)
- Understanding of technical concepts and legal issues and contract templates
- Structured work style
- Motivation to work in a team environment with the ability to communicate effectively
- Fast learner
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Die Rolle
- Passion for music, with expertise in audio recognition and pattern recognition.
- German (native) and English (fluent)
- Bachelor’s degree in Computer Science, with a focus on Machine Learning and AI.
- Proven experience in project management, especially in tech or AI-driven projects.
- Strong skills in data management, annotation processes, and quality control.
- Proficiency in testing workflows, QA, and bug identification.
- Solid understanding of music and audio analysis, including MIDI data and sound pattern recognition.
- Excellent analytical skills for interpreting data and optimizing models.
- Clear and effective communication skills with internal and external teams.
- Creative problem-solving abilities for complex technical challenges.
- Ability to work independently and collaboratively in a fast-paced, startup environment.
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RESPONSIBILITIES
- 3+ years of experience in a comparable role, ideally within the Media or Publishing industries
- Highly skilled in Microsoft Excel, PowerPoint, knowledge of BI tools (e.g. Looker) is a plus, and willingness to learn new tools is a must.
- Good working knowledge of social media and some associated analytics tools (e.g. Sprinklr, as well as native reporting platforms of the social networks)
- Sharp analytical skills, with the ability to extract and analyse raw data and draw conclusions.
- Ability to transform findings into a clear compelling story that drives positive action from the business.
- Intellectually curious and adaptable team player with a self-starter mentality and the ability to communicate efficiently and reliably in a multilingual, multicultural environment.
- Fluent in English; other languages are considered an asset.
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Vollzeit | befristet | Praktikum
Die Rolle
- Fluency in English, both written and spoken. Additional languages are not required but will be considered an asset.
- Proven experience in managing multiple tasks efficiently and collaborating with cross-functional teams on a global scale.
- Strong interest in AI, content creation, and business operations.
- Exceptional analytical, organizational, and communication skills.
- Ability to thrive in a fast-paced environment with a proactive attitude and eagerness to learn and contribute.
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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
- 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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