AI Data Analyst
Pubblicato il 05-10-2026 - Wärtsilä in Trieste
AI Data Analyst
to join our team working for a better future.
We are now looking for a AI Data Analyst to join our team working for a better future. The position is permanent and the preferred location is in Trieste (IT), but also Helsinki, Turku and Vaasa (FI) are possible locations.
What You Will Be Doing
Wärtsilä Global Logistics Services (WGLS) is responsible for managing the end-to-end flow of Wärtsilä spare parts. Data plays a central role in how we run and improve our operations, and expectations from the business are shifting: users increasingly ask for faster answers, more proactive insights and lighter, more interactive ways to work with data. At the same time, AI has matured enough to make things like natural-language querying, automated analyses and conversational data agents realistic in daily operations. We are now looking for an AI Data Analyst to help us take this next step.
In this position, you will focus on turning WGLS data into more advanced analyses and AI-supported tools that directly help operations.
You will work across the full data lifecycle — from understanding what the business needs, to preparing and modelling data, to delivering solutions in the form of analyses, reports or conversational agents.
- Develop advanced analyses on WGLS data
- Build conversational agents on top of our data that operational users can use directly to get answers in natural language
- Create solutions that allow users to query both structured data and logistics documents (such as compliance declarations, supplier documents, contracts, incoterms and carrier tariffs) in natural language
- Collect requirements from stakeholders and deliver the right solutions, whether as an analysis, a report, a dashboard or a conversational tool
- Extract, transform and prepare data from different source systems as needed
- Develop and maintain reports and visualizations where they are the best fit for the use case
- Contribute to continuous improvement of our reporting and data