Data Analyst - Supply Chain

About the role

Thermo Fisher Scientific is hiring a Business Data Analyst to build foundational datasets, analytics and automation capabilities that support supply chain decisions across Asia Pacific countries. The role turns enterprise data into reliable reporting, reusable data models and practical insights. In the short term it supports integration projects such as process and data mapping; over time it covers distribution, logistics, customer service, planning and procurement.

Key responsibilities

• Build and maintain reusable foundational datasets, data models and Power BI semantic models.
• Develop Power BI dashboards, reports and scorecards, creating reusable DAX measures, KPIs and calculated columns.
• Automate manual reporting and data preparation, using Python or similar tools where appropriate.
• Partner with supply chain, commercial, finance and technology teams to turn business questions into KPIs and recommendations.
• Support integration projects through process mapping, data mapping and validation, and data and reporting integration.
• Analyse operational issues, validate assumptions and investigate gaps between system data and actual performance.
• Document data sources, transformations, business rules and metric definitions, and troubleshoot BI, data quality, performance and access issues.
• Use approved AI tools for reporting, summarization and quality checks, and contribute to BI standards, governance and training.
• Manage multiple assignments and communicate findings and risks across global, cross-functional teams.

Required profile

• Bachelor's degree in a quantitative discipline (e.g. computer science, data science, statistics, economics) or equivalent professional experience.
• Typically 3+ years in data analytics, BI, reporting, analytics engineering or process improvement, preferably in supply chain, commercial operations, finance, technology or consulting.
• Clear written and spoken English, able to explain complex data to diverse audiences.
• Ability to collaborate across functions and geographies, manage competing priorities and work independently.

Required skills

• Hands-on Power BI or similar BI platform, including dashboards, reporting, visualization and semantic modeling.
• SQL, including joins, aggregations, subqueries, common table expressions and transformation.
• Advanced Excel, including pivot tables, lookups and logical functions.
• Working knowledge of DAX and relational databases.
• Preferred: Python for data manipulation and automation; beneficial: ETL/ELT, data warehouses, Power Platform, Databricks, data governance and generative AI.