27 set - Trieste
Wärtsilä
In this role, you will turn WGLS data into advanced analyses and AI-enabled tools that support operations. You will work across the data lifecycle to deliver insights, reports, and conversational solutions that drive faster, more proactive decision-making. You'll build AI-assisted querying and dashboards that add value across logistics data and documents, shaping how the business leverages data.
This position offers hands-on impact in a global logistics context and contributes to Wärtsilä's sustainable transformation.
Develop advanced analyses on WGLS data Build conversational agents on top of our data for natural language answers Enable natural-language queries over structured data and logistics documents (e.g., declarations, contracts) Gather stakeholder requirements and deliver analyses, reports, dashboards,
or conversational tools ETL/prepare data from multiple source systems as needed Create and maintain reports and visualizations where appropriate Contribute to continuous improvement of data practices and AI-ready data foundations Support users in adopting AI-based analytics tools safely and effectively Strong SQL skills and experience with data from multiple sources Programming experience in Python for data tasks Experience applying AI/LLMs to data use cases (NL querying, retrieval-augmented generation, automated analyses) Hands-on experience with reports/visualizations, especially Microsoft Power BI Knowledge of Databricks or similar data platforms Understanding of supply chain or logistics processes and desire to improve them Proactive, analytical, solution-oriented mindset with good problem-solving and communication skills Eagerness to use data end-to-end to deliver solutions Proactive problem-solving Strong communication and collaboration Presentation and stakeholder management SQL Python for data work
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TAGLIABENE