Lilly Deutschland GmbH
Digital Analyst(m/w/x)
Full-timeOn-siteExperienced
Alzey
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35350 Lilly Deutschland GmbH
Data Engineer(m/w/x)
Alzey
Full-timeOn-siteExperienced
AI/ML
Data Science
Nejo AI Summary
Collecting and analyzing data from manufacturing equipment, quality control, and lab instruments at global pharmaceutical company. Strong manufacturing site experience required; German proficiency preferred. Company pension plan provided.
Requirements
- Bachelor's degree in Software Engineering, Computer Science, Computer Engineering, Data Science, or related field
- Legal authorization for employment in Germany
- English fluency
- Preferred German proficiency
- Strong manufacturing site experience
- Strong problem-solving skills
- Strong analytical skills
- Strong process improvement skills
- Good written and oral communication skills
- Process improvement experience
- Organization skills
- Self-management skills
- Data Analytics knowledge
- Machine Learning knowledge
- Knowledge of Parenteral Products manufacturing
- Working knowledge of Life Cycle management
- Working knowledge of Business Process Model
- Working knowledge of S95 model
- Working knowledge of LSEF
- Working knowledge of other Tech @ Lilly processes
Tasks
- Collect, clean, and analyze data.
- Utilize data from manufacturing equipment.
- Utilize data from quality control systems.
- Utilize data from laboratory instruments.
- Optimize manufacturing processes.
- Enhance product quality.
- Drive efficiency improvements.
- Prevent equipment downtime.
- Support continuous improvement initiatives.
- Communicate data insights to stakeholders.
- Partner with Alzey Site Tech @ Lilly leader.
- Collaborate with local and global functions.
- Generate a data strategy.
- Develop a portfolio of Alzey data projects.
- Implement the agreed data strategy.
- Implement the agreed project portfolio.
- Lead small to medium data projects.
- Create informative dashboards, reports, and tools.
- Apply advanced analytics to prevent downtime.
- Optimize equipment performance with analytics.
- Optimize business processes with analytics.
- Apply statistical methods and data visualization.
- Identify trends and anomalies.
- Identify process improvement opportunities.
- Ensure data solutions adhere to regulations.
- Ensure data solutions adhere to GMP.
- Partner with business areas.
- Understand current business processes.
- Influence strategic direction for data collection.
- Influence strategic direction for data analysis.
- Apply knowledge of local business needs.
- Influence global data solutions.
- Facilitate collaboration across teams.
- Ensure common understanding of processes.
- Ensure common understanding of system capabilities.
- Identify opportunities for improvement.
- Influence business areas' process understanding.
- Identify new opportunities.
- Challenge the status quo.
- Develop recommendations for productivity.
- Understand global data architecture.
- Replicate solutions from global groups.
- Integrate external best practices.
- Integrate external approaches into solutions.
- Influence changes to Tech @ Lilly standards.
- Meet evolving business and industry needs.
- Maintain a safe work environment.
- Work safely.
- Support all HSE Corporate and Site Goals.
Work Experience
- approx. 1 - 4 years
Education
- Bachelor's degree
Languages
- English – Business Fluent
- German – Business Fluent
Tools & Technologies
- Data Analytics
- Machine Learning
- S95 model
- LSEF
Benefits
Retirement Plans
- Company pension plan
Career Advancement
- Career development
Learning & Development
- Professional development
Informal Culture
- Creative freedom
Find the original job posting in its most current version here. Nejo automatically captured this job from the website of 350 Lilly Deutschland GmbH 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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35350 Lilly Deutschland GmbH
Data Engineer(m/w/x)
Alzey
Full-timeOn-siteExperienced
AI/ML
Data Science
Nejo AI Summary
Collecting and analyzing data from manufacturing equipment, quality control, and lab instruments at global pharmaceutical company. Strong manufacturing site experience required; German proficiency preferred. Company pension plan provided.
Requirements
- Bachelor's degree in Software Engineering, Computer Science, Computer Engineering, Data Science, or related field
- Legal authorization for employment in Germany
- English fluency
- Preferred German proficiency
- Strong manufacturing site experience
- Strong problem-solving skills
- Strong analytical skills
- Strong process improvement skills
- Good written and oral communication skills
- Process improvement experience
- Organization skills
- Self-management skills
- Data Analytics knowledge
- Machine Learning knowledge
- Knowledge of Parenteral Products manufacturing
- Working knowledge of Life Cycle management
- Working knowledge of Business Process Model
- Working knowledge of S95 model
- Working knowledge of LSEF
- Working knowledge of other Tech @ Lilly processes
Tasks
- Collect, clean, and analyze data.
- Utilize data from manufacturing equipment.
- Utilize data from quality control systems.
- Utilize data from laboratory instruments.
- Optimize manufacturing processes.
- Enhance product quality.
- Drive efficiency improvements.
- Prevent equipment downtime.
- Support continuous improvement initiatives.
- Communicate data insights to stakeholders.
- Partner with Alzey Site Tech @ Lilly leader.
- Collaborate with local and global functions.
- Generate a data strategy.
- Develop a portfolio of Alzey data projects.
- Implement the agreed data strategy.
- Implement the agreed project portfolio.
- Lead small to medium data projects.
- Create informative dashboards, reports, and tools.
- Apply advanced analytics to prevent downtime.
- Optimize equipment performance with analytics.
- Optimize business processes with analytics.
- Apply statistical methods and data visualization.
- Identify trends and anomalies.
- Identify process improvement opportunities.
- Ensure data solutions adhere to regulations.
- Ensure data solutions adhere to GMP.
- Partner with business areas.
- Understand current business processes.
- Influence strategic direction for data collection.
- Influence strategic direction for data analysis.
- Apply knowledge of local business needs.
- Influence global data solutions.
- Facilitate collaboration across teams.
- Ensure common understanding of processes.
- Ensure common understanding of system capabilities.
- Identify opportunities for improvement.
- Influence business areas' process understanding.
- Identify new opportunities.
- Challenge the status quo.
- Develop recommendations for productivity.
- Understand global data architecture.
- Replicate solutions from global groups.
- Integrate external best practices.
- Integrate external approaches into solutions.
- Influence changes to Tech @ Lilly standards.
- Meet evolving business and industry needs.
- Maintain a safe work environment.
- Work safely.
- Support all HSE Corporate and Site Goals.
Work Experience
- approx. 1 - 4 years
Education
- Bachelor's degree
Languages
- English – Business Fluent
- German – Business Fluent
Tools & Technologies
- Data Analytics
- Machine Learning
- S95 model
- LSEF
Benefits
Retirement Plans
- Company pension plan
Career Advancement
- Career development
Learning & Development
- Professional development
Informal Culture
- Creative freedom
Find the original job posting in its most current version here. Nejo automatically captured this job from the website of 350 Lilly Deutschland GmbH 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
350 Lilly Deutschland GmbH
Industry
Pharmaceuticals
Description
The company is a global healthcare leader dedicated to discovering and bringing life-changing medicines to those in need.
Not a perfect match?
- Lilly Deutschland GmbH
Digital Analyst(m/w/x)
Full-timeOn-siteExperiencedAlzey - Lilly Deutschland GmbH
Computer System Quality Assurance /Data Integrity Representative(m/w/x)
Full-timeOn-siteSeniorAlzey - Lilly Deutschland GmbH
Master Data Analyst(m/w/x)
Full-timeOn-siteExperiencedAlzey - Lilly Deutschland GmbH
Manager - Project Management(m/w/x)
Full-timeOn-siteManagementAlzey - Lilly
Intralogistics Data Analyst(m/w/x)
Full-timeOn-siteJuniorAlzey