Base

Capacity and Data Analyst

ferentino, lazio, Italy Entreprise: JR Italy Client / Employeur: Thermo Fisher Scientific
Publié: 19.05.2026
Date de clôture: 03.07.2026
Référence du poste: 2127ff113fc5754de8373e7954855625

Informations sur le poste

Emplacement
ferentino, lazio, Italy
Entreprise
JR Italy
Client / Employeur
Thermo Fisher Scientific
Référence du poste
2127ff113fc5754de8373e7954855625
Type d'annonce
Base
Permis de travail de l'UE requis
Non
Publié
19.05.2026
Date de clôture
03.07.2026

Description du poste

Work Schedule Standard (Mon-Fri) Environmental Conditions Office 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. DESCRIPTION: We are seeking a highly analytical and detail-oriented Capacity and Data Analyst to support our pharmaceutical manufacturing and supply chain operations. In this role, you will analyze production capacity, demand forecasts, and operational performance data to ensure optimal resource utilization and uninterrupted product supply. You will collaborate with cross-functional teams including Manufacturing, Supply Chain, Quality, and Finance to deliver data-driven insights, improve planning accuracy, and support strategic decision-making in a highly regulated environment. Key Responsibilities Analyze production capacity vs. demand to identify gaps, risks, and optimization opportunities Develop and maintain capacity planning models for manufacturing sites and supply chain networks Create and manage dashboards and reports (Power BI or similar) to track KPIs such as utilization, throughput, and cycle times Support S&OP (Sales and Operations Planning) and demand planning processes with data-driven insights Identify bottlenecks and inefficiencies in production and propose corrective actions Collaborate with Manufacturing and Supply Chain teams to optimize resource allocation and scheduling Ensure data accuracy, integrity, and consistency across multiple systems and so

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