Основно
Capacity and Data Analyst
Публикувано: 19.05.2026
Крайна дата на закриване: 03.07.2026
Препоръка за работа: 2127ff113fc5754de8373e7954855625
Информация за работата
Местоположение
ferentino, lazio, Italy
Компания
JR Italy
Клиент / Работодател
Thermo Fisher Scientific
Препоръка за работа
2127ff113fc5754de8373e7954855625
Тип на списък
Основно
Изисква се разрешително за работа в ЕС
Не
Публикувано
19.05.2026
Крайна дата на закриване
03.07.2026
Описание на длъжността
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
Умения
analyse big data
apply statistical analysis techniques
Business Analytics
Business Intelligence
cloud technologies
collect ICT data
create data models
Data Engineering
data ethics
Data Mining
Data Models
data quality assessment
Data Science
data storage
data visualisation software
Database
define data quality criteria
deliver visual presentation of data
digital data processing
documentation types
establish data processes
execute analytical mathematical calculations
Game Theory
gather data for forensic purposes
Hadoop
handle data samples
Healthcare Analytics
image recognition
implement data quality processes
Information Architecture
information categorisation
information confidentiality
Information Extraction
information structure
integrate ICT data
interpret current data
LDAP
LINQ
make data-driven decisions
manage cloud data and storage
manage data
manage data collection systems
manage quantitative data
Marketing Analytics
MDX
multidisciplinary research
N1QL
normalise data
online analytical processing
perform data cleansing
perform data mining
query languages
report analysis results
Research Design
resource description framework query language
Social Network Analysis
SPARQL
statistical modeling techniques
Statistics
store digital data and systems
Unstructured Data
use data processing techniques
use databases
use spreadsheets software
visual presentation techniques
Web Analytics
XQuery