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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 xbvzest
- 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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