HelloFresh
Senior Marketing Data Analyst(m/w/x)
Vollzeitmit HomeofficeSenior
Berlin
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Senior BI Analyst - Packaging Optimization & Insights(m/w/x)
Berlin
Vollzeitmit HomeofficeSenior
AI/ML
Data Science
Nejo KI-Zusammenfassung
Shaping data strategy and developing a team for global packaging procurement and optimization at a tech powerhouse. Strong SQL proficiency and Tableau dashboard building experience required. Berlin relocation support, German language learning budget, exclusive product discounts.
Anforderungen
- Bachelor's or Master's degree in Science, Engineering, Business Analytics, Data Science, or related field
- Several years of experience in data analytics, business intelligence, or similar analytical role
- Strong proficiency in SQL
- Experience building dashboards in Tableau or similar BI tools
- Advanced skills in Google Workspace and/or MS Office tools
- Experience with automation tools (e.g., Google Apps Script, Python) (plus)
- Experience leveraging AI and automation tools (e.g., machine learning models, predictive analytics, Generative AI tools)
- Strong analytical thinking
- Ability to structure ambiguous problems and translate into data-driven solutions
- Strong experience collaborating with cross-functional stakeholders
- Communication of insights to technical and non-technical audiences
- Entrepreneurial mindset
- Proactive, ownership-driven approach
- Comfort working in fast-changing, international environment
- Fluent English (written and spoken)
Aufgaben
- Act as the primary data partner for the International Packaging team.
- Lead and develop the Packaging Data team.
- Set clear team priorities.
- Foster analytical excellence.
- Evolve the Packaging Data roadmap.
- Translate complex business challenges.
- Deliver actionable, high-impact insights.
- Support strategic decision-making.
- Ensure transparency of cost drivers.
- Ensure transparency of operational performance.
- Ensure transparency of packaging optimization opportunities.
- Present findings clearly to all stakeholders.
- Conduct deep-dive and exploratory analyses.
- Analyze purchasing, SKU, operational, and complaint datasets.
- Identify trends, risks, and performance levers.
- Develop and refine KPIs for procurement efficiency.
- Develop and refine KPIs for packaging quality.
- Develop and refine KPIs for cost performance.
- Analyze customer complaint trends.
- Analyze raw material indices.
- Anticipate market developments and performance risks.
- Identify improvement opportunities across sourcing, quality, and supply chain.
- Conduct data-driven experimentation.
- Design, build, and maintain scalable dashboards.
- Design, build, and maintain automated reporting solutions.
- Collaborate with data analysts, engineers, and scientists.
- Develop robust, high-standard data products.
- Improve and optimize data pipelines.
- Improve and optimize data structures.
- Improve and optimize reporting frameworks.
- Ensure scalability and reliability.
- Automate recurring analyses and reporting.
- Increase team efficiency.
- Identify AI and advanced analytics use cases.
- Prioritize AI and advanced analytics use cases.
- Implement AI and advanced analytics use cases.
- Generate measurable business impact.
- Partner with Analytics and Engineering teams.
- Integrate scalable machine learning solutions.
- Integrate automation solutions.
- Explore generative AI and automation tools.
- Improve analytical workflows.
- Improve business decision-making.
- Ensure high data quality and integrity across packaging datasets.
- Support SKU data management.
- Manage packaging price updates in ordering systems.
- Ensure reliable budgeting and reporting.
- Establish clear documentation standards.
- Establish transparency standards for Packaging Data processes.
Berufserfahrung
- ca. 4 - 6 Jahre
Ausbildung
- Bachelor-AbschlussODER
- Master-Abschluss
Sprachen
- Englisch – verhandlungssicher
Tools & Technologien
- SQL
- Tableau
- Google Workspace
- MS Office
- Google Apps Script
- Python
- AI
- Generative AI tools
Benefits
Sonstige Vorteile
- Berlin relocation support
- HelloFresh Academy access
Mitarbeiterrabatte
- Exclusive HelloFresh discounts
Gratis oder Vergünstigte Mahlzeiten
- Office meals
Weiterbildungsangebote
- Annual learning & development budget
- German language learning budget
Mentale Gesundheitsförderung
- Mental health support
- Wellbeing platforms (Headspace, Spill)
Parkplatz & Pendelvorteile
- Transportation perks
Familienfreundlichkeit
- Working-parent-friendly benefits
Gesundheits- & Fitnessangebote
- 24/7 gym access
Workation & Sabbatical
- Sabbatical leave options
Die Originalanzeige dieses Stellenangebotes in der aktuellsten Version findest du hier. Nejo hat diesen Job automatisch von der Website des Unternehmens HelloFresh erfasst und die Informationen auf Nejo mit Hilfe von KI für dich aufbereitet. Trotz sorgfältiger Analyse können einzelne Informationen unvollständig oder ungenau sein. Bitte prüfe immer alle Angaben in der Originalanzeige! Inhalte und Urheberrechte der Originalanzeige liegen beim ausschreibenden Unternehmen.
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HEHelloFresh
Senior BI Analyst - Packaging Optimization & Insights(m/w/x)
Berlin
Vollzeitmit HomeofficeSenior
AI/ML
Data Science
Nejo KI-Zusammenfassung
Shaping data strategy and developing a team for global packaging procurement and optimization at a tech powerhouse. Strong SQL proficiency and Tableau dashboard building experience required. Berlin relocation support, German language learning budget, exclusive product discounts.
Anforderungen
- Bachelor's or Master's degree in Science, Engineering, Business Analytics, Data Science, or related field
- Several years of experience in data analytics, business intelligence, or similar analytical role
- Strong proficiency in SQL
- Experience building dashboards in Tableau or similar BI tools
- Advanced skills in Google Workspace and/or MS Office tools
- Experience with automation tools (e.g., Google Apps Script, Python) (plus)
- Experience leveraging AI and automation tools (e.g., machine learning models, predictive analytics, Generative AI tools)
- Strong analytical thinking
- Ability to structure ambiguous problems and translate into data-driven solutions
- Strong experience collaborating with cross-functional stakeholders
- Communication of insights to technical and non-technical audiences
- Entrepreneurial mindset
- Proactive, ownership-driven approach
- Comfort working in fast-changing, international environment
- Fluent English (written and spoken)
Aufgaben
- Act as the primary data partner for the International Packaging team.
- Lead and develop the Packaging Data team.
- Set clear team priorities.
- Foster analytical excellence.
- Evolve the Packaging Data roadmap.
- Translate complex business challenges.
- Deliver actionable, high-impact insights.
- Support strategic decision-making.
- Ensure transparency of cost drivers.
- Ensure transparency of operational performance.
- Ensure transparency of packaging optimization opportunities.
- Present findings clearly to all stakeholders.
- Conduct deep-dive and exploratory analyses.
- Analyze purchasing, SKU, operational, and complaint datasets.
- Identify trends, risks, and performance levers.
- Develop and refine KPIs for procurement efficiency.
- Develop and refine KPIs for packaging quality.
- Develop and refine KPIs for cost performance.
- Analyze customer complaint trends.
- Analyze raw material indices.
- Anticipate market developments and performance risks.
- Identify improvement opportunities across sourcing, quality, and supply chain.
- Conduct data-driven experimentation.
- Design, build, and maintain scalable dashboards.
- Design, build, and maintain automated reporting solutions.
- Collaborate with data analysts, engineers, and scientists.
- Develop robust, high-standard data products.
- Improve and optimize data pipelines.
- Improve and optimize data structures.
- Improve and optimize reporting frameworks.
- Ensure scalability and reliability.
- Automate recurring analyses and reporting.
- Increase team efficiency.
- Identify AI and advanced analytics use cases.
- Prioritize AI and advanced analytics use cases.
- Implement AI and advanced analytics use cases.
- Generate measurable business impact.
- Partner with Analytics and Engineering teams.
- Integrate scalable machine learning solutions.
- Integrate automation solutions.
- Explore generative AI and automation tools.
- Improve analytical workflows.
- Improve business decision-making.
- Ensure high data quality and integrity across packaging datasets.
- Support SKU data management.
- Manage packaging price updates in ordering systems.
- Ensure reliable budgeting and reporting.
- Establish clear documentation standards.
- Establish transparency standards for Packaging Data processes.
Berufserfahrung
- ca. 4 - 6 Jahre
Ausbildung
- Bachelor-AbschlussODER
- Master-Abschluss
Sprachen
- Englisch – verhandlungssicher
Tools & Technologien
- SQL
- Tableau
- Google Workspace
- MS Office
- Google Apps Script
- Python
- AI
- Generative AI tools
Benefits
Sonstige Vorteile
- Berlin relocation support
- HelloFresh Academy access
Mitarbeiterrabatte
- Exclusive HelloFresh discounts
Gratis oder Vergünstigte Mahlzeiten
- Office meals
Weiterbildungsangebote
- Annual learning & development budget
- German language learning budget
Mentale Gesundheitsförderung
- Mental health support
- Wellbeing platforms (Headspace, Spill)
Parkplatz & Pendelvorteile
- Transportation perks
Familienfreundlichkeit
- Working-parent-friendly benefits
Gesundheits- & Fitnessangebote
- 24/7 gym access
Workation & Sabbatical
- Sabbatical leave options
Die Originalanzeige dieses Stellenangebotes in der aktuellsten Version findest du hier. Nejo hat diesen Job automatisch von der Website des Unternehmens HelloFresh erfasst und die Informationen auf Nejo mit Hilfe von KI für dich aufbereitet. Trotz sorgfältiger Analyse können einzelne Informationen unvollständig oder ungenau sein. Bitte prüfe immer alle Angaben in der Originalanzeige! Inhalte und Urheberrechte der Originalanzeige liegen beim ausschreibenden Unternehmen.
Über das Unternehmen
HelloFresh
Branche
Food
Beschreibung
HelloFresh is one of Europe's fastest-growing tech powerhouses, offering meal kit delivery services and a diverse workplace culture.
Noch nicht perfekt?
- HelloFresh
Senior Marketing Data Analyst(m/w/x)
Vollzeitmit HomeofficeSeniorBerlin - HelloFresh
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Vollzeitmit HomeofficeSeniorBerlin - HelloFresh
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Vollzeitmit HomeofficeManagementMünchen, Berlin