Data Analyst III (Supply Chain Analytics)

Job description

Work Schedule Standard (Mon-Fri) Environmental Conditions Office Job Description As part of the Thermo Fisher Scientific team, you’ll discover meaningful work that makes a positive impact on a global scale. Join our colleagues in bringing our Mission to life every single day to enable our customers to make the world healthier, cleaner and safer. We provide our global teams with the resources needed to achieve individual career goals while helping to take science a step beyond by developing solutions for some of the world’s toughest challenges, like protecting the environment, making sure our food is safe or helping find cures for cancer. Summary: Data Analyst III (Supply Chain Analytics) will support External Manufacturing Operations by transforming complex operational, supplier, planning, and procurement data into actionable business insights. This role partners closely with Procurement, Planning, Supplier Management, Operations, and Sourcing teams to improve visibility, support strategic decision-making, and drive operational excellence through analytics, reporting, automation, and AI-enabled solutions. The analyst will develop scalable reporting frameworks, supplier performance dashboards, forecasting and inventory analytics, and self-service reporting capabilities while supporting the organization's digital transformation initiatives. Required Qualifications: Bachelor's degree in Supply Chain Management, Industrial Engineering, Business Analytics, Information Systems, Operations Management, Data Science, Engineering, or a related field. 4+ years of experience in supply chain analytics, operations analytics, procurement analytics, supplier management analytics, business intelligence, or related functions. Advanced SQL skills. Advanced Power BI experience, including DAX, data modeling, and dashboard development. Experience working with large datasets and multiple source systems. Strong stakeholder management and communication skills. Preferred Qualifications: Experience with forecasting, inventory planning, supplier performance, S&OP, procurement, or manufacturing operations. Experience with Power Platform, Python, Power Query, Tableau, or related analytics tools. Experience applying AI-enabled tools to analytics workflows. CSCP, CPIM, Lean Six Sigma, Power BI, or Data Analytics certifications.