Full-Time Digital Analyst
Job Description
About the role:
- Acts as the MES Technical System Owner (TSO) at the manufacturing site.
- Coordinates MES related activities at the site, including but not limited to, infrastructure deployment, enabling systems integration, manufacturing intelligence, and tier 1/tier 2 support.
- Escalates MES support issues to Global MES Technical System Owner
- Process Mining, analysis and respective identification of digital improvement opportunities
- Intelligent Automation: Engage with local business partners and look for opportunities for Intelligent Automation. Utilize tools like RPA bot automation and corresponding automation enabling tools to implement solutions
- Screening and deployment of digital opportunities and new technologies including but not limited to AR/XR, eLogbooks, AI/ML, Digital Twin – in alignment with site master plan
- Ensures development of digital solutions is conducted according to prioritized requirements and the total solution delivered to the customer meets/exceeds expectations.
What you bring to Takeda:
- A degree in IT/Computer Science/Pharmaceutical Manufacturing or relevant field
- Understanding of software project life cycle and experience in working with MES software
- Two (2) years of experience in the life sciences industry on large scale applications
- Strong experience in Computer System Validation (CSV) for manufacturing systems
Key Skills, Abilities, and Competencies
- Computerized System Validation
- Data Integrity
- Application life-cycle management methodologies
- ServiceNow ticket queue management
- Computerized System Change Control
- Owns the IT System Owner responsibilities per:
- Strong people skills creating curiosity and striving for alignment to move efficiently as one Takeda
- Ability to work in a collaborative environment, often cross-functional.
- Demonstrates excellent skills in oral & written communication, organization, and prioritization of tasks.
- Strong analytical and solution-oriented skills while providing solutions based on business needs.
- Basic understanding of manufacturing processes.
- Capabilities in the area of data wrangling (SQL,Python, R)
- Capabilities in data analysis and visualization (Qlik, PowerBI)
- Understanding of Shop-Floor systems (MES, ERP, LIMS, Historian, etc.),
- Understanding of data integration and ETL workflows
- Understanding of Agile/SCRUM methodologies and technologies e.g. Jira, Confluence
How to Apply
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