Thermo Fisher Scientific
Thermo Fisher Scientific is the world leader in serving science, with annual revenue of more than $40 billion. Their mission is to enable customers to make the world healthier, cleaner, and safer by supporting life sciences research, solving complex analytical challenges, increasing laboratory productivity, and improving patient health through diagnostics and the development of life-changing therapies. With a global team, they offer innovative technologies and pharmaceutical services through brands such as Thermo Scientific, Applied Biosystems, Invitrogen, Fisher Scientific, Unity Lab Services, Patheon, and PPD.
Analytical Instruments • Laboratory Supply Chain Programs and eCommerce • Laboratory Equipment • Lab Services • Specialty Diagnostics
Senior IT Data Analyst
April 16
Thermo Fisher Scientific
Thermo Fisher Scientific is the world leader in serving science, with annual revenue of more than $40 billion. Their mission is to enable customers to make the world healthier, cleaner, and safer by supporting life sciences research, solving complex analytical challenges, increasing laboratory productivity, and improving patient health through diagnostics and the development of life-changing therapies. With a global team, they offer innovative technologies and pharmaceutical services through brands such as Thermo Scientific, Applied Biosystems, Invitrogen, Fisher Scientific, Unity Lab Services, Patheon, and PPD.
Analytical Instruments • Laboratory Supply Chain Programs and eCommerce • Laboratory Equipment • Lab Services • Specialty Diagnostics
📋 Description
• The Sr IT Data Analyst will support key digital initiatives within the group/division that drive new revenue growth and improve operational efficiencies. • This role is a multidimensional position covering technology, people, process, and data strategies for the organization. • This role will actively participate in divisional and group implementations covering Enterprise Data Platform, Data Lake, Data Warehouse, Business Intelligence and Data Science projects. • The candidate ensures data related technical design, policies, procedures, and processes are in place to address complex business needs.
🎯 Requirements
• Bachelor's degree in Computer Science, Information Technology, Information Systems, Statistics, or related field. • Master's degree preferred. • Proven ability in data engineering, analysis, or other data related fields. • Deep understanding of system and data architecture, design, data warehousing, data modeling and integrations. • Experience with data integration tools (e.g., Informatica, Databricks) and understanding of API management. • Proficiency with databases (SQL), programming (Python, PySpark), and reporting packages (Business Objects, Power BI). • Experience with ERP and CRM systems (SAP, Salesforce). • Additional technical skills: Python, data warehousing (e.g., Databricks, Redshift), and cloud platforms (AWS, Azure, Fabric). • Knowledge in R is a plus. • Strong analytical skills with the ability to collect, organize, analyze, and disseminate significant amounts of information with attention to detail and accuracy. • Project management expertise and problem-solving abilities. • Excellent verbal and written communication skills.
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