Job
- Level
- Experienced
- Location
- Orth an der Donau
- Working Model
- Hybrid, Onsite
- Job Field
- Data, Application
- Employment Type
- Full Time
- Contract Type
- Permanent employment
- Salary
- from 60.977 € gross/year
Job Summary
In this role, you will develop practical data and automation solutions as well as AI applications, analyze production and business data, and optimize processes using modern technologies like Python, SQL, and Power BI.
Job Technologies
Your role in the team
- In this role, you will act as a hands-on Digital Solutions Expert at Pfizer Orth and translate requirements from production, quality, engineering, and business processes into practical data, automation, and AI solutions.
- They combine Data Analytics, Software Development, Automation, and Generative AI, develop working prototypes and scalable solutions, and actively contribute their own ideas to implementation.
- In this role, you will work closely with specialist departments to develop solutions that are reliable, traceable, and usable within the regulated pharmaceutical environment.
- This position combines Data Analytics, Software Development, Business Excellence, and Artificial Intelligence.
- You don't just develop reports or dashboards, but implement digital solutions with measurable added value for production, quality, and business processes.
- From data analyses and data models to automations and generative AI applications, you actively shape the digital transformation of our location.
- They analyze data from production, quality, engineering, and business systems, develop data models, and identify optimization potentials, trends, and correlations within the team for data-driven decision-making.
- You create, expand, and optimize Power BI, Grafana, and KPI solutions, establish reliable data foundations, and support transparency as well as informed decision-making at all levels.
- You develop smaller applications, automations, scripts, data pipelines, and interfaces to optimize business and production processes, taking responsibility for selected solutions from conception to practical implementation.
- They develop, train, and evaluate machine learning models for analyzing, predicting, and optimizing processes and data, and translate suitable approaches into practical applications.
- You identify practical AI and GenAI use cases, develop prototypes using tools such as Microsoft Copilot, Copilot Studio, or GitHub Copilot, and support the safe, responsible, and effective use of AI in the workplace.
- They strategically leverage data and technology to enable continuous improvements and data-driven optimizations in business and production processes.
- You work with SQL, Python, Snowflake, PostgreSQL, Microsoft Power Platforms, and other integration platforms, supporting the further development of our digital landscape.
- You work closely with local, global, and external stakeholders, accompany data, digitization, and AI projects from conception to implementation, and support users through documentation, training, and practical enablement measures.
- They develop solutions with an awareness of data integrity, information security, traceability, and the requirements of a GMP-/GxP-regulated pharmaceutical environment.
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Our expectations of you
Education
- Completed university studies (FH/University) or comparable education in the field of Computer Science, Software Engineering, Data Science, Mathematics, Business Informatics, or a similar technical field.
Qualifications
- Good practical knowledge of Python for data analysis, automation, and development of digital solutions.
- Ability to quickly understand technical and business requirements, contribute own ideas, and translate them into pragmatic solutions.
- Self-initiative, structured working style, problem-solving skills, reliability, and team spirit.
- Good communication skills in German and English.
Experience
- At least 3 years of professional experience in Data Analytics, Data Science, Software Development, or a comparable technical role.
- Good knowledge of SQL and experience with relational databases, e.g., PostgreSQL; experience with Snowflake is an advantage.
- Experience in data analysis, preparation, modeling, and interpretation.
- Experience in developing dashboards and data visualizations, preferably with Power BI and/or Grafana.
- Practical experience with Machine Learning, including selecting appropriate methods as well as training, evaluating, and applying models.
- Experience in developing small software solutions, automations, scripts, or digital applications.
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What we offer
- Company cafeteria with freshly cooked menus and cost subsidy.
- Free shuttle bus between Vienna Donauzentrum and Orth an der Donau with connection to U1 and U2, as well as free parking at the location.
- Flexible working hours with up to 50% home office option.
- Workplace health promotion, e.g., free vaccination campaigns, eye examinations, and health check-ups.
- Fitness center offering classes from Yoga to Bodywork and Back Health at attractive rates.
- 24-hour accident insurance for work-related and non-work-related accidents in Austria.
- Diverse career and development opportunities, e.g., through Growth Gigs, mentoring.
- Participation in innovative digitalization, analytics, and AI initiatives in a global environment.
- Recognition for company anniversaries, monetary gifts for occasions such as weddings or births, as well as social engagement through corporate volunteering.
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Benefits
Higher Take-Home Pay
Food & Drink
Work-Life-Integration
Health, Fitness & Fun
Topics You Will Work On
Job Locations
About Your Employer
Pfizer Manufacturing Austria GmbH
Helping people live healthier, longer lives with a better quality of life – that is Pfizer's goal. Around 80,000 employees worldwide are working to achieve this goal under the motto "Breakthroughs that change patients' lives". They research, develop and commercialize medicines and vaccines to treat or prevent some of the most threatening diseases of our time.
Description
- Company Type
- Established Company
- Working Model
- Hybrid, Onsite
- Industry
- Pharmaceutical Sector, Chemical Industry, Biotech
