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)
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Wir möchten die Welt bewegen
- Weiterentwicklung des Microsoft Azure Data Warehouse und der darauf basierenden Power BI Reports mit Fokus auf den Fachbereich Retail
- Identifikation der Bedürfnisse der Fachbereiche, Entwurf und Implementierung darauf basierender Datenmodelle und nutzerorientierter Berichte
- Proaktive Abstimmung mit den Geschäftsbereichen, um Potenziale zu identifizieren und Prozesse zu verbessern
- Projektleitung von Business Intelligence und Data Engineering Projekten
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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.
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Die Rolle
- Master’s degree or PhD in a quantitative field (e.g., Statistics, Mathematics, Computer Science) and relevant experience in quantitative analytics or statistics (e.g., from internships or part-time roles).
- Advanced skills in statistical modelling (R, Python) and experience with database languages (e.g., SQL).
- Strong knowledge of statistical techniques such as regression, classification, and hypothesis testing.
- Ability to create clear, insightful visualizations (e.g., ggplot, R Shiny, Data Studio) and present complex topics in an understandable way.
- Strong communication and interpersonal skills, with a passion for continuous learning and personal development.
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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.
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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
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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.
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