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Digital Analyst(m/w/x)
Delivering data products and improving operational insights for life-changing medicines. Two years cloud solution experience with R/Python hands-on skills required. Excellent company pension plan.
Requirements
- BS in IT, Life Science, Computer Science, Engineering, or related STEM field
- At least two years experience developing, deploying, supporting cloud solutions (AWS, Azure)
- Hands-on experience in R and Python
- At least two years experience collaborating with Business Integrators or Architects
- Ability to translate complex requirements into PoC/MPV
- Legal authorization to be employed in Germany
- English fluency
- German proficiency (preferred)
- Experience as Subject Matter Expert or Ambassador for analytics tools/products
- Experience/knowledge of Database Management Systems (Oracle, SQL Server, Netezza)
- Experience/knowledge of Reporting (Business Objects, MS SSRS, Tableau, PowerBI)
- Experience/knowledge of ETL (Informatica)
- Experience/knowledge of SQL
- Knowledge of Data and Advanced Analytics technologies (R, Shiny, Cplex, Python)
- Knowledge of Systems/Software Development Lifecycle concepts (CI/CD)
- Experience developing/driving data governance principles
- Analytics skills
- Time management skills
- Problem-solving skills
- Learning skills
- Process improvement skills
- Responsibility for maintaining safe work environment
- Effective communication ability
- Strong interpersonal skills
- Strong collaboration skills
Tasks
- Partner with MQ partners and Tech@Lilly colleagues
- Deliver meaningful data products
- Resolve challenging technical issues
- Improve operational insights
- Partner with functional experts, integrators, and architects
- Understand relevant processes across sites and functions
- Ensure products are delivered, maintained, and optimized
- Use standardized processes for requirements, analysis, design, construction, and testing
- Research innovative tools and technologies
- Partner with manufacturing colleagues to evaluate tools
- Develop best practices for PowerBI and Azure ML Studio
- Coordinate sharing of best practices across teams
- Foster reuse and replication of best practices
- Understand, define, and implement self-service BI
- Assist Advisor with architecture governance processes
- Assist Advisor with Tools LCM evaluation and positioning
- Assist Advisor with creating and managing portal content
- Assure MQ Analytics best practices adhere to policies
- Support design and development of end-user training
- Deliver end-user training and procedures
- Work collaboratively on cross-functional teams
- Collaborate with corporate IT, site IT, and manufacturing
- Adapt to an international and multicultural environment
- Collaborate with less experienced team members
Work Experience
- 2 years
Education
- Bachelor's degree
Languages
- English – Business Fluent
- German – Business Fluent
Tools & Technologies
- AWS
- Azure
- R
- Python
- Oracle
- SQL Server
- Netezza
- Business Objects
- MS SSRS
- Tableau
- PowerBI
- Informatica
- SQL
- Shiny
- Cplex
- CI/CD
Benefits
Career Advancement
- Individual career development
Learning & Development
- Worldwide professional development access
- Corporate Lilly University
Retirement Plans
- Excellent company pension plan
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Digital Analyst(m/w/x)
Delivering data products and improving operational insights for life-changing medicines. Two years cloud solution experience with R/Python hands-on skills required. Excellent company pension plan.
Requirements
- BS in IT, Life Science, Computer Science, Engineering, or related STEM field
- At least two years experience developing, deploying, supporting cloud solutions (AWS, Azure)
- Hands-on experience in R and Python
- At least two years experience collaborating with Business Integrators or Architects
- Ability to translate complex requirements into PoC/MPV
- Legal authorization to be employed in Germany
- English fluency
- German proficiency (preferred)
- Experience as Subject Matter Expert or Ambassador for analytics tools/products
- Experience/knowledge of Database Management Systems (Oracle, SQL Server, Netezza)
- Experience/knowledge of Reporting (Business Objects, MS SSRS, Tableau, PowerBI)
- Experience/knowledge of ETL (Informatica)
- Experience/knowledge of SQL
- Knowledge of Data and Advanced Analytics technologies (R, Shiny, Cplex, Python)
- Knowledge of Systems/Software Development Lifecycle concepts (CI/CD)
- Experience developing/driving data governance principles
- Analytics skills
- Time management skills
- Problem-solving skills
- Learning skills
- Process improvement skills
- Responsibility for maintaining safe work environment
- Effective communication ability
- Strong interpersonal skills
- Strong collaboration skills
Tasks
- Partner with MQ partners and Tech@Lilly colleagues
- Deliver meaningful data products
- Resolve challenging technical issues
- Improve operational insights
- Partner with functional experts, integrators, and architects
- Understand relevant processes across sites and functions
- Ensure products are delivered, maintained, and optimized
- Use standardized processes for requirements, analysis, design, construction, and testing
- Research innovative tools and technologies
- Partner with manufacturing colleagues to evaluate tools
- Develop best practices for PowerBI and Azure ML Studio
- Coordinate sharing of best practices across teams
- Foster reuse and replication of best practices
- Understand, define, and implement self-service BI
- Assist Advisor with architecture governance processes
- Assist Advisor with Tools LCM evaluation and positioning
- Assist Advisor with creating and managing portal content
- Assure MQ Analytics best practices adhere to policies
- Support design and development of end-user training
- Deliver end-user training and procedures
- Work collaboratively on cross-functional teams
- Collaborate with corporate IT, site IT, and manufacturing
- Adapt to an international and multicultural environment
- Collaborate with less experienced team members
Work Experience
- 2 years
Education
- Bachelor's degree
Languages
- English – Business Fluent
- German – Business Fluent
Tools & Technologies
- AWS
- Azure
- R
- Python
- Oracle
- SQL Server
- Netezza
- Business Objects
- MS SSRS
- Tableau
- PowerBI
- Informatica
- SQL
- Shiny
- Cplex
- CI/CD
Benefits
Career Advancement
- Individual career development
Learning & Development
- Worldwide professional development access
- Corporate Lilly University
Retirement Plans
- Excellent company pension plan
Like this job?
BetaYour Career Agent finds similar jobs for you every day.
About the Company
Lilly Deutschland GmbH
Industry
Pharmaceuticals
Description
Das Unternehmen ist ein globaler Marktführer im Gesundheitswesen mit Fokus auf die Entwicklung lebensverändernder Medikamente.
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