AI Data Analyst

Tiivistelmä työpaikkailmoituksesta: The AI Data Analyst is a permanent role preferably located in Trieste (IT) with Helsinki, Turku and Vaasa (FI) as alternative locations. You will develop advanced analyses and AI-supported tools, including conversational agents, to enable natural-language querying of structured data and logistics documents for WGLS operations. Required skills include strong SQL and Python, practical experience applying AI/LLMs, Power BI reporting, knowledge of Databricks or similar platforms, and understanding of supply chain or logistics processes. The annual salary range for Italy is 35.000 EUR – 55.000 EUR in accordance with the CCNL Metalmeccanico, with the final offer depending on scope, competencies and experience. Tämä tiivistelmä on luotu tekoälyn avulla. 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. As AI Data Analyst, your work will focus on these responsibilities: 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 practices, and to the transition of our data foundations towards AI-ready ways of working Support WGLS users in adopting AI-based analytics tools safely and effectively To be successful in this role, we expect you to have: Good command in SQL and experience working with data from different source systems Programming experience in Python for data work Practical experience applying AI / Large Language Models to data-related use cases (e.g. natural-language querying, retrieval-augmented generation, automated analysis) Hands-on experience creating reports and visualizations, mainly with Microsoft Power BI Knowledge of Databricks or other data platforms Understanding of supply chain or logistics processes, together with a genuine interest in improving them and creating value for the business Proactive, analytical and solution-oriented mindset, with a can-do attitude Good problem-solving skills and ability to learn efficiently Good communication, collaboration and presentation skills Eagerness to use data end-to-end to deliver solutions An ideal candidate will have a B.Sc. or M.Sc. in a relevant field of study (technical, computer science, data/AI, statistics, commercial etc.) or similar practical experience. The annual salary range for Italy for this role is 35.000 EUR – 55.000 EUR in accordance with the salary provisions in the National Collective Labor Agreement for workers in the metalworking and plant installation industry (CCNL Metalmeccanico). At Wärtsilä, we are committed to fair and transparent pay. This range reflects the expected compensation for the role, based on market data and our job architecture. The final salary offered will depend on factors such as the scope and responsibilities of the role, the required competencies, and your relevant education, skills, and experience. We also take internal equity into account to ensure fairness across our organisation. Why you and us? We at Wärtsilä believe in empowerment, ownership and taking responsibility of our work. We support each other’s growth and co-creation is the true basis of our innovation. We have courage to see opportunities and take initiative. We are authentic and honest, and we strongly believe in that by bei