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Working Student Business Intelligence & Marketing Data Analytics(m/w/x)
Developing and maintaining Power BI dashboards for global marketing teams, analyzing digital marketing data. Enrolled student in relevant field and C1 English required; SQL and Power BI experience a plus. 30 days paid vacation, flexible hours, remote work options.
Requirements
- Enrolled student in Economics, Statistics, Business Administration, Data Science, or comparable field
- Analytical skills and basic knowledge of statistics and data modeling
- Structured working style, initiative, and independent work ability
- Proficient English skills (C1) and good German skills (B2)
- Ideally SQL and initial experience with Power BI or other BI tools
Tasks
- Analyze digital marketing data
- Identify trends and derive actionable recommendations
- Maintain reporting structures in Power BI and Google Sheets
- Develop Power BI and Google Sheets reporting tools
- Create Power BI dashboards for global marketing teams
- Optimize dashboards for international marketing departments
- Improve data processes using Python, SQL, and Databricks
- Ensure data quality with modern analytics technologies
- Conduct country-specific analyses to drive growth
- Promote efficient use of digital channels
Education
- Currently in higher education
Languages
- English – Business Fluent
- German – Business Fluent
Tools & Technologies
- SQL
- Power BI
- BI tools
Benefits
Job Security
- Permanent position
Informal Culture
- Modern workplace culture
More Vacation Days
- 30 days paid vacation
Flexible Working
- Flexible working hours
- Remote working options
Purpose-Driven Work
- Full project ownership
Other Benefits
- Personal and professional growth
Retirement Plans
- Employer-funded pension program
Free or Subsidized Food
- Lunch specials
- Office catering
Company Bike
- Job bike offer
Mental Health Support
- Wellbeing offering
Team Events
- Office and community events
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Working Student Business Intelligence & Marketing Data Analytics(m/w/x)
Developing and maintaining Power BI dashboards for global marketing teams, analyzing digital marketing data. Enrolled student in relevant field and C1 English required; SQL and Power BI experience a plus. 30 days paid vacation, flexible hours, remote work options.
Requirements
- Enrolled student in Economics, Statistics, Business Administration, Data Science, or comparable field
- Analytical skills and basic knowledge of statistics and data modeling
- Structured working style, initiative, and independent work ability
- Proficient English skills (C1) and good German skills (B2)
- Ideally SQL and initial experience with Power BI or other BI tools
Tasks
- Analyze digital marketing data
- Identify trends and derive actionable recommendations
- Maintain reporting structures in Power BI and Google Sheets
- Develop Power BI and Google Sheets reporting tools
- Create Power BI dashboards for global marketing teams
- Optimize dashboards for international marketing departments
- Improve data processes using Python, SQL, and Databricks
- Ensure data quality with modern analytics technologies
- Conduct country-specific analyses to drive growth
- Promote efficient use of digital channels
Education
- Currently in higher education
Languages
- English – Business Fluent
- German – Business Fluent
Tools & Technologies
- SQL
- Power BI
- BI tools
Benefits
Job Security
- Permanent position
Informal Culture
- Modern workplace culture
More Vacation Days
- 30 days paid vacation
Flexible Working
- Flexible working hours
- Remote working options
Purpose-Driven Work
- Full project ownership
Other Benefits
- Personal and professional growth
Retirement Plans
- Employer-funded pension program
Free or Subsidized Food
- Lunch specials
- Office catering
Company Bike
- Job bike offer
Mental Health Support
- Wellbeing offering
Team Events
- Office and community events
About the Company
Viessmann Climate Solutions Berlin GmbH
Industry
EnergyAutomation
Description
Das Unternehmen ist ein weltweit führender Anbieter für effiziente und systemische Klima- und erneuerbare Energielösungen für den Wohn- und Gewerbesektor.
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