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:  <ul style="margin-bottom:0.0cm;margin-top:0.0px;"><li style="margin:0.0cm 0.0cm 0.0cm 0.4px;font-size:12.0pt;font-family:Arial , sans-serif;color:black;text-indent:0.4px;">Develop advanced analyses on WGLS data</li><li style="margin:0.0cm 0.0cm 0.0cm 0.4px;font-size:12.0pt;font-family:Arial , sans-serif;color:black;text-indent:0.4px;">Build conversational agents on top of our data that operational users can use directly to get answers in natural language</li><li style="margin:0.0cm 0.0cm 0.0cm 0.4px;font-size:12.0pt;font-family:Arial , sans-serif;color:black;text-indent:0.4px;">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</li><li style="margin:0.0cm 0.0cm 0.0cm 0.4px;font-size:12.0pt;font-family:Arial , sans-serif;color:black;text-indent:0.4px;">Collect requirements from stakeholders and deliver the right solutions, whether as an analysis, a report, a dashboard or a conversational tool</li><li style="margin:0.0cm 0.0cm 0.0cm 0.4px;font-size:12.0pt;font-family:Arial , sans-serif;color:black;text-indent:0.4px;">Extract, transform and prepare data from different source systems as needed</li><li style="margin:0.0cm 0.0cm 0.0cm 0.4px;font-size:12.0pt;font-family:Arial , sans-serif;color:black;text-indent:0.4px;">Develop and maintain reports and visualizations where they are the best fit for the use case</li><li style="margin:0.0cm 0.0cm 0.0cm 0.4px;font-size:12.0pt;font-family:Arial , sans-serif;color:black;text-indent:0.4px;">Contribute to continuous improvement of our reporting and data practices, and to the transition of our data foundations towards AI-ready ways of working</li><li style="margin:0.0cm 0.0cm 0.0cm 0.4px;font-size:12.0pt;font-family:Arial , sans-serif;color:black;text-indent:0.4px;">Support WGLS users in adopting AI-based analytics tools safely and effectively</li></ul>  To be successful in this role, we expect you to have:  <ul style="margin-bottom:0.0cm;margin-top:0.0px;"><li style="margin:0.0cm 0.0cm 0.0cm 0.4px;font-size:12.0pt;font-family:Arial , sans-serif;color:black;text-indent:0.4px;">Good command in SQL and experience working with data from different source systems</li><li style="margin:0.0cm 0.0cm 0.0cm 0.4px;font-size:12.0pt;font-family:Arial , sans-serif;color:black;text-indent:0.4px;">Programming experience in Python for data work</li><li style="margin:0.0cm 0.0cm 0.0cm 0.4px;font-size:12.0pt;font-family:Arial , sans-serif;color:black;text-indent:0.4px;">Practical experience applying AI / Large Language Models to data-related use cases (e.g. natural-language querying, retrieval-augmented generation, automated analysis)</li><li style="margin:0.0cm 0.0cm 0.0cm 0.4px;font-size:12.0pt;font-family:Arial , sans-serif;color:black;text-indent:0.4px;">Hands-on experience creating reports and visualizations, mainly with Microsoft Power BI</li><li style="margin:0.0cm 0.0cm 0.0cm 0.4px;font-size:12.0pt;font-family:Arial , sans-serif;color:black;text-indent:0.4px;">Knowledge of Databricks or other data platforms</li><li style="margin:0.0cm 0.0cm 0.0cm 0.4px;font-size:12.0pt;font-family:Arial , sans-serif;color:black;text-indent:0.4px;">Understanding of supply chain or logistics processes, together with a genuine interest in improving them and creating value for the business</li><li style="margin:0.0cm 0.0cm 0.0cm 0.4px;font-size:12.0pt;font-family:Arial , sans-serif;color:black;text-indent:0.4px;">Proactive, analytical and solution-oriented mindset, with a can-do attitude</li><li style="margin:0.0cm 0.0cm 0.0cm 0.4px;font-size:12.0pt;font-family:Arial , sans-serif;color:black;text-indent:0.4px;">Good problem-solving skills and ability to learn efficiently</li><li style="margin:0.0cm 0.0cm 0.0cm 0.4px;font-size:12.0pt;font-family:Arial , sans-serif;color:black;text-indent:0.4px;">Good communication, collaboration and presentation skills</li><li style="margin:0.0cm 0.0cm 0.0cm 0.4px;font-size:12.0pt;font-family:Arial , sans-serif;color:black;text-indent:0.4px;">Eagerness to use data end-to-end to deliver solutions</li></ul> 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 being your own true self you can accomplish so much more. We don’t always get it right the first time, and if mistakes are made, we make sure to learn and grow from them. We want everyone to voice their opinions freely. That is why we have built an environment that empowers you and everyone around you, and where you can feel safe and cared for. Are you eager to be part of this ambition? We have an amazing team and we are excited about our work and the impact it has on building sustainable societies. We are looking to find a colleague with this shared passion for smart technologies and a sustainable future.  Contact &amp; next steps  We hope to hear from you soon, by submitting your application through our careers portal. We aim to keep you updated on the process throughout.  For further questions related to this position please reach out to Andrea Callegher, Manager Analysis and Automation, through <a href="mailto:andrea.callegher@wartsila.com">andrea.callegher@wartsila.com</a> (only for questions from direct job applicants, applications through email will not be recorded or responded to).  Welcome to join us in shaping the decarbonisation of marine and energy! Last application date: 29/09/2026  At Wärtsilä we value, respect and embrace all our differences, and are committed to diversity, inclusion and equal employment opportunities; everyone can be their true self and succeed based on their job-relevant merits and abilities.  Please note that according to Wärtsilä policy, voluntary consent for a security check may be required from candidates being considered for this position, depending on the applicable country. This is Wärtsilä Wärtsilä is a global leader in innovative technologies and lifecycle solutions for the marine and energy markets. Our team of 18,300 professionals, in more than 230 locations in 77 countries, shape the decarbonisation transformation of our industries across the globe. Read more on <a href="http://www.wartsila.com">www.wartsila.com</a>.

We enable sustainable societies through innovation in technology and services together with all our stakeholders &ndash; today and tomorrow. We emphasise innovation in sustainable technology and services to help our customers continuously improve environmental and economic performance. We work together with our strong ecosystem of partners every day, providing a wide portfolio of leading technologies and innovative solutions that offer our customers superior uptime, reliability and foreseeable lifecycle costs across their operations. Our global passionate team of 17,500 energy and maritime experts in 200 locations in more than 70 countries is committed to shaping decarbonisation transformation of our industries across the globe.

AI Data Analyst

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:  <ul><li>Develop advanced analyses on WGLS data</li><li>Build conversational agents on top of our data that operational users can use directly to get answers in natural language</li><li>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</li><li>Collect requirements from stakeholders and deliver the right solutions, whether as an analysis, a report, a dashboard or a conversational tool</li><li>Extract, transform and prepare data from different source systems as needed</li><li>Develop and maintain reports and visualizations where they are the best fit for the use case</li><li>Contribute to continuous improvement of our reporting and data practices, and to the transition of our data foundations towards AI-ready ways of working</li><li>Support WGLS users in adopting AI-based analytics tools safely and effectively</li></ul>  To be successful in this role, we expect you to have:  <ul><li>Good command in SQL and experience working with data from different source systems</li><li>Programming experience in Python for data work</li><li>Practical experience applying AI / Large Language Models to data-related use cases (e.g. natural-language querying, retrieval-augmented generation, automated analysis)</li><li>Hands-on experience creating reports and visualizations, mainly with Microsoft Power BI</li><li>Knowledge of Databricks or other data platforms</li><li>Understanding of supply chain or logistics processes, together with a genuine interest in improving them and creating value for the business</li><li>Proactive, analytical and solution-oriented mindset, with a can-do attitude</li><li>Good problem-solving skills and ability to learn efficiently</li><li>Good communication, collaboration and presentation skills</li><li>Eagerness to use data end-to-end to deliver solutions</li></ul> 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 being your own true self you can accomplish so much more. We don’t always get it right the first time, and if mistakes are made, we make sure to learn and grow from them. We want everyone to voice their opinions freely. That is why we have built an environment that empowers you and everyone around you, and where you can feel safe and cared for. Are you eager to be part of this ambition? We have an amazing team and we are excited about our work and the impact it has on building sustainable societies. We are looking to find a colleague with this shared passion for smart technologies and a sustainable future.  Contact &amp; next steps  We hope to hear from you soon, by submitting your application through our careers portal. We aim to keep you updated on the process throughout.  For further questions related to this position please reach out to Andrea Callegher, Manager Analysis and Automation, through <a href="mailto:andrea.callegher@wartsila.com">andrea.callegher@wartsila.com</a> (only for questions from direct job applicants, applications through email will not be recorded or responded to).  Welcome to join us in shaping the decarbonisation of marine and energy! Last application date: 29/09/2026  At Wärtsilä we value, respect and embrace all our differences, and are committed to diversity, inclusion and equal employment opportunities; everyone can be their true self and succeed based on their job-relevant merits and abilities.  Please note that according to Wärtsilä policy, voluntary consent for a security check may be required from candidates being considered for this position, depending on the applicable country. This is Wärtsilä Wärtsilä is a global leader in innovative technologies and lifecycle solutions for the marine and energy markets. Our team of 18,300 professionals, in more than 230 locations in 77 countries, shape the decarbonisation transformation of our industries across the globe. Read more on <a href="http://www.wartsila.com">www.wartsila.com</a>.

AI Data Analyst

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Wartsila

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