Senior Manager Data Science And Analytics Engineering

Thermo Fisher Scientific UK

Raleigh, United States
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Scalable data models
Analytics-ready data products
Python and sql expertise
** Thermo Fisher Scientific is seeking a Senior Manager of Data Science and Analytics Engineering to lead a cross-functional team focused on developing scalable data models and enabling advanced analytics within their Finance Digital Team. The position requires extensive experience in data engineering and analytics, with a strong emphasis on hands-on technical skills in Python and SQL. **

Job Summary

  • This role sits at the intersection of data engineering, analytics, and finance, focused on building scalable data models and enabling advanced analytics.
  • You will own the design of analytical and semantic data models, lead the development of scalable, analytics-ready data products, and remain hands-on in Python, SQL, and Databricks/Spark environments.
  • Lead and develop a cross-functional team of data engineers, analysts, and data scientists, building capabilities in modern data frameworks and analytical thinking.

Matching Summary

Match Score: 75

** Thermo Fisher Scientific is seeking a Senior Manager of Data Science and Analytics Engineering to lead a cross-functional team focused on developing scalable data models and enabling advanced analytics within their Finance Digital Team. The position requires extensive experience in data engineering and analytics, with a strong emphasis on hands-on technical skills in Python and SQL. **

Skills & Requirements

Must-have

  • Scalable data models
  • Analytics-ready data products
  • Python and SQL expertise
  • Databricks/Spark environments
  • Financial reporting and advanced analytics

Nice-to-have

  • Semantic modeling
  • Governed data layers
  • AI/ML workflows
  • Modern data practices
  • Agile delivery models

Key Requirements

  • 8+ years of experience in data engineering, analytics engineering, data science, or related roles
  • 2-5+ years of experience leading technical teams
  • Strong hands-on expertise in Python and SQL
  • Deep experience working in modern data platforms such as Databricks or Microsoft Fabric
  • Proven experience designing and implementing scalable data models and analytics-ready datasets

Work Rights

Not specified

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