Data Analyst
Pubblicato il 09-09-2026 - MSC Mediterranean Shipping in Torino
Overview
Join to apply for the Data Analyst role at MSC Mediterranean Shipping Company . MSC is a global business engaged in the shipping sector with operations in 155 countries. Headquartered in Geneva, Switzerland, MSC is a privately owned organization focused on customers, employees and the environment.
MSC Technology Italy is the first division located in the national territory, complementing existing offices in Geneva, Warren and Chennai. MSC Technology emphasizes equal opportunities and a culture of innovation and wellbeing, with a focus on continuous evolution.
With over 3,000 employees, the Technology Department drives business growth and elevates quality standards. Working within an international office offers cross-country collaboration and opportunities for travel and growth.
In 2020, MSC Technology Italy was established to support the MSC Group’s business as a Center of Excellence.
Do you recognize yourself? Then come work with us and be part of MSC’s family
DATA ANALYST
This is a fantastic opportunity to join MSC Mediterranean Shipping Company,
the global leader in maritime shipping, and play a key role in supporting MSC’s strategy for digitalisation and business growth. As a Data Analyst-Data Modeller you will be part of MSC’s BI team, an agile and global team delivering an interconnected data platform to serve business users, products, and data science across business domains. The Data Analyst – Data Modeller will be responsible for designing data solutions that move data from source to target. The Data Analyst-Data Modeller will also ensure the data is of a high quality in order to be trusted by downstream users. The successful candidate must have solid hands-on experience with data modelling, data mappings, designing data flows and data solutions in the areas of data warehousing and/or big data.
KEY RESPONSIBILITIES
- Collaborate with the Product Owner, Business Analysts and stakeholders to understand the business requirements
- Analyse data from ke