Thermo Fisher Scientific
10,000+ employees
Founded 1956
🏥 Healthcare
📦 Logistics
🏭 Manufacturing
Healthcare • Logistics • Manufacturing
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.
Senior Data Analytics, Automation Engineer
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🔥 3 minutes ago
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Thermo Fisher Scientific
10,000+ employees
Founded 1956
🏥 Healthcare
📦 Logistics
🏭 Manufacturing
Healthcare • Logistics • Manufacturing
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.
📋 Description
• Build robust automation processes for seamless data integration • Create and manage complex data workflows using Apache Airflow • Utilize MS Power Automate to streamline data processes • Develop customized SQL queries for efficient database solutions • Integrate multiple data sources into a customized data mart • Lead data science projects from problem definition to implementation • Meet with sales leaders to understand business challenges • Lead and manage complex projects ensuring timely delivery • Collaborate with cross-functional teams to achieve analytics goals
🎯 Requirements
• Proficiency in Python (Airflow, Pandas, NumPy) • Strong SQL skills • Experience with Oracle, Cognos, and Redshift • Knowledge of AWS data warehousing solutions • Strong understanding of dimensional modeling • Experience with CRM systems, especially Salesforce.com • Proficiency in using IBM Cognos Analytics • Experience building reports and visualizations with Power BI • Bachelor's Degree in Computer Science, Mathematics, Statistics, Economics, or a related field is a plus
🏖️ Benefits
• Health insurance • Retirement plans • Paid time off • Flexible work arrangements • Professional development opportunities
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