Data Analyst – Analytics Engineering & AI

Thermo Fisher Scientific is seeking a Data Analyst to help build modern enterprise analytics capabilities and accelerate the evolution of digital analytics toward AI-supported insights. You will work at the intersection of business analytics, data visualization, analytics engineering, and AI-enabled analytics, partnering with stakeholders to transform business questions into trusted datasets, dashboards, and actionable insights. This role is ideal for someone analytically curious and technically capable, interested in developing skills across analytics engineering, semantic modeling, and AI.

• Partner with business stakeholders to understand reporting requirements and analytical needs
• Analyze large, complex datasets to identify trends and performance drivers
• Develop dashboards, reports, and visualizations providing actionable insights
• Write SQL queries and perform data transformations for analytical datasets
• Support the development of a trusted semantic analytics layer
• Assist with analytics engineering activities and data quality validation