Mammut Sports Group GmbH
Solution Architect(m/w/x)
Full-time/Part-timeWith HomeofficeSenior
Seon
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FRfranke
Business Intelligence & Data Analytics Specialist(m/w/x)
Aarburg
Full-timeWith Home OfficeExperienced
AI/ML
Data Science
Nejo AI Summary
Analyzing product usage and service quality data for global kitchen and foodservice leader. 4+ years data analysis and visualization experience required. 5 weeks holiday, free parking, staff restaurant.
Requirements
- Degree in Data Science, Business Analytics, Computer Science or similar
- 4+ years data analysis and visualization experience
- Skills in Databricks, Azure Cloud Services, Apache Spark, GIT, SQL, Python, DAX or similar
- Understanding of data modeling and processing
- Solid knowledge of statistics and ML models
- Ability to create user-focused reports and visualizations
- Strong business understanding and problem-solving mindset
- Experience translating business needs into data-driven insights
- Structured and analytical way of working
- Familiarity with Agile environments
- Strong communication, stakeholder management, and presentation skills
- Strong analytical and structured thinking
- Good planning and organizational skills
- Curious, hands-on, pragmatic, and self-driven
- Good German skills (written and spoken)
- Good English skills (written and spoken)
Tasks
- Analyze data for actionable insights on product usage, fleet performance, and service quality
- Develop and maintain KPI dashboards and reports using tools like Power BI
- Identify trends, anomalies, and improvement opportunities
- Ensure data reliability, consistency, and fitness for analysis
- Support data quality rules and improve data structures and usability
- Collaborate with Data Engineering on data availability and pipeline requirements
- Contribute to scalable analytics capabilities, including Self-Service Analytics
- Apply statistical methods to deepen insights and support advanced analytics
- Translate business needs into data solutions
- Communicate insights clearly and in a business-relevant way
Work Experience
- 4 years
Education
- Bachelor's degree
Languages
- German – Business Fluent
- English – Business Fluent
Tools & Technologies
- Power BI
- Databricks
- Azure Cloud Services
- Apache Spark
- GIT
- SQL
- Python
- DAX
Benefits
Parking & Commuter Benefits
- Good transport links
- Free parking
Free or Subsidized Food
- Staff restaurant
Snacks & Drinks
- Free coffee
Other Benefits
- Thorough introduction
Diverse Work
- Independent tasks
Startup Environment
- Innovative company
Find the original job posting in its most current version here. Nejo automatically captured this job from the website of franke and processed the information on Nejo with the help of AI for you. Despite careful analysis, some information may be incomplete or inaccurate. Please always verify all details in the original posting! Content and copyrights of the original posting belong to the advertising company.
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FRfranke
Business Intelligence & Data Analytics Specialist(m/w/x)
Aarburg
Full-timeWith Home OfficeExperienced
AI/ML
Data Science
Nejo AI Summary
Analyzing product usage and service quality data for global kitchen and foodservice leader. 4+ years data analysis and visualization experience required. 5 weeks holiday, free parking, staff restaurant.
Requirements
- Degree in Data Science, Business Analytics, Computer Science or similar
- 4+ years data analysis and visualization experience
- Skills in Databricks, Azure Cloud Services, Apache Spark, GIT, SQL, Python, DAX or similar
- Understanding of data modeling and processing
- Solid knowledge of statistics and ML models
- Ability to create user-focused reports and visualizations
- Strong business understanding and problem-solving mindset
- Experience translating business needs into data-driven insights
- Structured and analytical way of working
- Familiarity with Agile environments
- Strong communication, stakeholder management, and presentation skills
- Strong analytical and structured thinking
- Good planning and organizational skills
- Curious, hands-on, pragmatic, and self-driven
- Good German skills (written and spoken)
- Good English skills (written and spoken)
Tasks
- Analyze data for actionable insights on product usage, fleet performance, and service quality
- Develop and maintain KPI dashboards and reports using tools like Power BI
- Identify trends, anomalies, and improvement opportunities
- Ensure data reliability, consistency, and fitness for analysis
- Support data quality rules and improve data structures and usability
- Collaborate with Data Engineering on data availability and pipeline requirements
- Contribute to scalable analytics capabilities, including Self-Service Analytics
- Apply statistical methods to deepen insights and support advanced analytics
- Translate business needs into data solutions
- Communicate insights clearly and in a business-relevant way
Work Experience
- 4 years
Education
- Bachelor's degree
Languages
- German – Business Fluent
- English – Business Fluent
Tools & Technologies
- Power BI
- Databricks
- Azure Cloud Services
- Apache Spark
- GIT
- SQL
- Python
- DAX
Benefits
Parking & Commuter Benefits
- Good transport links
- Free parking
Free or Subsidized Food
- Staff restaurant
Snacks & Drinks
- Free coffee
Other Benefits
- Thorough introduction
Diverse Work
- Independent tasks
Startup Environment
- Innovative company
Find the original job posting in its most current version here. Nejo automatically captured this job from the website of franke and processed the information on Nejo with the help of AI for you. Despite careful analysis, some information may be incomplete or inaccurate. Please always verify all details in the original posting! Content and copyrights of the original posting belong to the advertising company.
About the Company
franke
Industry
Food
Description
Das Unternehmen ist ein weltweit führender Anbieter von Produkten und Dienstleistungen für die Haushaltsküche und professionelle Systemgastronomie.
Not a perfect match?
- Mammut Sports Group GmbH
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Working Student - Executive Researcher(m/w/x)
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Junior Cyber Security Operations Engineer(m/w/x)
Full-timeWith HomeofficeExperiencedAarburg - Andermatt
Applikations-Entwickler:in & Projektleiter:in(m/w/x)
Full-timeWith HomeofficeExperiencedGrossdietwil