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Internship Digital Data Strategy(m/w/x)
Assisting with marketing, lead management, and customer service dashboard development. Familiarity with digital marketing concepts and taxonomy required. Flexible work scheme, global experience.
Requirements
- Familiarity with digital marketing concepts (campaign tracking, KPIs)
- Interest in taxonomy/data structuring
- Understanding of machine learning basics
- Willingness to learn machine learning
- Proficiency in MS Office applications
- Basic knowledge of Power BI or other visualization tools
- Analytical mindset
- Ability to work with large datasets
- Strong attention to detail
- Ability to ensure data accuracy
- Excellent communication skills
- Collaboration and documentation skills
- Proactive attitude
- Eagerness to learn
- Adaptability in global, cross-functional environment
Tasks
- Assist in dashboard development
- Optimize marketing performance dashboards
- Optimize lead management dashboards
- Optimize customer service dashboards
- Support data integration processes
- Harmonize data sources for reporting accuracy
- Conduct data quality checks
- Prepare ad-hoc analyses
- Support data-driven decisions
- Implement taxonomy frameworks
- Scale taxonomy strategy across new areas
- Collaborate with external agencies
- Derive taxonomy values using machine learning
- Derive taxonomy values using LLM-based models
- Contribute to master data projects
- Assist with hierarchy design
- Support data governance processes
- Prepare training materials
- Conduct onboarding sessions
- Help document processes
- Maintain SharePoint resources
Education
- Currently in higher educationOR
- Bachelor's degree
Languages
- English – Business Fluent
Tools & Technologies
- MS Office
- Excel
- Word
- Powerpoint
- Power BI
Benefits
Flexible Working
- Flexible work scheme
- Flexible hours
- Hybrid work model
Informal Culture
- Global experience
Team Events
- Interns community
Additional Allowances
- Accommodation for interview process
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Internship Digital Data Strategy(m/w/x)
Assisting with marketing, lead management, and customer service dashboard development. Familiarity with digital marketing concepts and taxonomy required. Flexible work scheme, global experience.
Requirements
- Familiarity with digital marketing concepts (campaign tracking, KPIs)
- Interest in taxonomy/data structuring
- Understanding of machine learning basics
- Willingness to learn machine learning
- Proficiency in MS Office applications
- Basic knowledge of Power BI or other visualization tools
- Analytical mindset
- Ability to work with large datasets
- Strong attention to detail
- Ability to ensure data accuracy
- Excellent communication skills
- Collaboration and documentation skills
- Proactive attitude
- Eagerness to learn
- Adaptability in global, cross-functional environment
Tasks
- Assist in dashboard development
- Optimize marketing performance dashboards
- Optimize lead management dashboards
- Optimize customer service dashboards
- Support data integration processes
- Harmonize data sources for reporting accuracy
- Conduct data quality checks
- Prepare ad-hoc analyses
- Support data-driven decisions
- Implement taxonomy frameworks
- Scale taxonomy strategy across new areas
- Collaborate with external agencies
- Derive taxonomy values using machine learning
- Derive taxonomy values using LLM-based models
- Contribute to master data projects
- Assist with hierarchy design
- Support data governance processes
- Prepare training materials
- Conduct onboarding sessions
- Help document processes
- Maintain SharePoint resources
Education
- Currently in higher educationOR
- Bachelor's degree
Languages
- English – Business Fluent
Tools & Technologies
- MS Office
- Excel
- Word
- Powerpoint
- Power BI
Benefits
Flexible Working
- Flexible work scheme
- Flexible hours
- Hybrid work model
Informal Culture
- Global experience
Team Events
- Interns community
Additional Allowances
- Accommodation for interview process
About the Company
Henkel
Industry
Other
Description
Das Unternehmen gestaltet die Zukunft von Produktionsstandorten durch Digitalisierung und innovative Ingenieurlösungen.
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