Specialist Data Analytics Manufacturing
Prague, Czech Republic
Novartis
Working together, we can reimagine medicine to improve and extend people’s lives.Job Description Summary
• Design and manage the development of modular, reusable, elegantly designed and maintainable software or solutions that supports the Manufacturing organization as well as other Cross Functional strategic initiatives.• Participate fit-gap workshops with business providing effort estimates and solutions proposals.
• Hands on, solution driven and customer focused. Develop and maintain the code repositories for which you are responsible and respond rapidly to bug reports or security vulnerability issues.
• Embody and integrate software development best practices into your everyday work and inspire others within the engineering community to emulate these practices.
• Collaborate extensively with your colleagues across Security, Compliance, Engineering, Project Management, Product Management, Product Service Management and Business Management.
• Enable data needed for frontend applications on AWS or any other cloud platform to support building data lake and manufacturing analytics use cases on top.
• Driving use cases on real time and near real time analytics, integrations with multiple internal and external systems.
• Continue support for moving other manufacturing warehousing platforms to the cloud.
• Ensure delivered solutions adhere to architectural and development standards, best practices, and meet requirements as recommended in the architecture handbook.
• Ensure designed solutions are aligned with Data and Analytics strategy standards and roadmap.
• Bring innovations to the solutions and add measurable values to manufacturing business.
Job Description
Responsibilities:
• Design and manage the development of modular, reusable, elegantly designed and maintainable software or solutions that supports the Manufacturing organization as well as other Cross Functional strategic initiatives.
• Participate fit-gap workshops with business providing effort estimates and solutions proposals.
• Hands on, solution driven and customer focused. Develop and maintain the code repositories for which you are responsible and respond rapidly to bug reports or security vulnerability issues.
• Embody and integrate software development best practices into your everyday work and inspire others within the engineering community to emulate these practices.
• Collaborate extensively with your colleagues across Security, Compliance, Engineering, Project Management, Product Management, Product Service Management and Business Management.
• Enable data needed for frontend applications on AWS or any other cloud platform to support building data lake and manufacturing analytics use cases on top.
• Driving use cases on real time and near real time analytics, integrations with multiple internal and external systems.
• Continue support for moving other manufacturing warehousing platforms to the cloud.
• Ensure delivered solutions adhere to architectural and development standards, best practices, and meet requirements as recommended in the architecture handbook.
• Ensure designed solutions are aligned with Data and Analytics strategy standards and roadmap.
• Bring innovations to the solutions and add measurable values to manufacturing business.
Work Experience:
- 4+ years of previous relevant experience.
- Experience in customer facing IT roles is a plus.
- Strong data engineering fundamentals in data management, data analysis, back end system design.
- Strong hands-on exposure in Data & Analytics solutions (descriptive, diagnostic, predictive & prescriptive)
- Previous AWS experience is preferred.
- Previous working experience in manufacturing business for a healthcare company is a plus.
- Previous working experience with D365 is a plus.
- Previous working experience in driving AI/ML (including Generative AI) projects is a plus.
- Familiar with Agile, Disciplined Agile as well as Waterfall delivery concepts.
- Collecting and interpreting requirements as well as building supporting solutions to satisfy business requirements.
You’ll receive (Applicable for Prague):
Monthly pension contribution matching your individual contribution up to 3% of your gross monthly base salary; Risk Life Insurance (full cost covered by Novartis); 5-week holiday per year; (1 week above the Labour Law requirement) ; 4 paid sick days within one calendar year in case of absence due to sickness without a medical sickness report; Cafeteria employee benefit program – choice of benefits from Benefit Plus Cafeteria in the amount of 17,500 CZK per year; Meal vouchers in amount of 105 CZK for each working day (full tax covered by company); Public Transportation allowance; MultiSport Card, Employee Share Purchase Plan. Find out more about Novartis Business Services: https://www.novartis.cz/
Accessibility and accommodation:
Novartis is committed to working with and providing reasonable accommodation to all individuals. If, because of a medical condition or disability, you need a reasonable accommodation for any part of the recruitment process, or in any order to receive more detailed information about essential functions of a position, please send an e-mail to inclusion.switzerland@novartis.com and let us know the nature of your request and your contact information. Please include the job requisition number in your message.
Skills Desired
* Salary range is an estimate based on our AI, ML, Data Science Salary Index 💰
Tags: Agile Architecture AWS Data analysis Data Analytics Data management Engineering Generative AI Machine Learning Security
Perks/benefits: Insurance
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