**Work Schedule** Standard (Mon-Fri) **Environmental Conditions** Office **Job Description** **About Thermo Fisher Scientific** Thermo Fisher Scientific Inc. (NYSE: TMO) is the world leader in serving science, with revenues of more than $24 billion and approximately 70,000 employees globally. Our mission is to enable our customers to make the world healthier, cleaner and safer. We help our customers accelerate life sciences research, solve complex analytical challenges, improve patient diagnostics, deliver medicines to market and increase laboratory productivity. Through our premier brands - Thermo Scientific, Applied Biosystems, Invitrogen, Fisher Scientific and Unity Lab Services - we offer an unmatched combination of innovative technologies, purchasing convenience and comprehensive services. You can expect a career full of brilliant possibilities. **Supervisory Responsibilities:** This position has no direct reports. **Position Summary:** Thermo Fisher Scientific (China) Co. Ltd. is seeking a skilled and experienced Data Analyst to join our Trade Compliance team. In this role, you will have the unique opportunity to drive impactful insights and data-driven decision-making in optimizing trade operations, ensuring compliance with international trade regulations **Job Responsibilities:** + Utilize your strong data processing skills, proficiency in SQL and Python, and expertise in Power BI to perform data analysis and uncover valuable insights from large volumes of Trade Compliance data. + Building required infrastructure for optimal extraction, transformation, and loading of data from various data sources, and building analytical tools to utilize the data pipeline, providing actionable insight into key business performance metrics. + Foster strong collaboration with business teams spanning multiple departments to gain deep insights into their requirements and deliver data analysis that informs strategic decision-making. + Track and monitor key business metrics, identifying potential opportunities and challenges, and offering appropriate recommendations and solutions. + Collaborate with the Operations team to ensure data accuracy and integrity, while actively contributing recommendations for data quality improvement. **Basic Qualifications:** + Bachelor’s degree or higher in Information Technology, Computer Science, Data Analytics, or a related field. + Proficiency in SQL and Python for efficient processing and analysis of large-scale business data. + Experience with relational databases, ETL (Extract-Transform-Load), and ETL pipeline, SSIS or Databricks. + Exposure to data visualization tools like Power BI, Tableau etc. + Excellent ability to communicate and work effectively with various teams, understanding business needs, and offering valuable support. + Highly self-motivated and capable of working independently, managing multiple tasks in a fast-paced environment. + Strong written and verbal English communication skills. Thermo Fisher Scientific is an EEO/Affirmative Action Employer and does not discriminate on the basis of race, color, religion, sex, sexual orientation, gender identity, national origin, protected veteran status, disability or any other legally protected status.