Lloyd’s Register Location: Romania, Portugal, Spain, GMT +-2What We’re Looking ForWe’re looking for a curious and self-motivated Data Analyst who thrives in ambiguity and enjoys solving complex, open-ended problems. The ideal candidate has solid SQL and Python skills, experience working with large datasets, and the confidence to engage directly with stakeholders, translating business challenges into robust analytical solutions. You'll be comfortable balancing technical delivery, data engineering, and analytical consulting in a fast-paced maritime and geospatial data environment.What We Offer YouThe opportunity to work for an organization that has a clear sense of purpose, is values-based and helps colleagues to develop professionally and personally through our range of people development programmes.A full-time permanent roleThe roleTranslate complex and ambiguous business questions into analytical solutions.Analyze large maritime and geospatial datasets, including AIS data.Develop queries, pipelines, and analytical workflows using SQL, Python, and PySpark.Apply statistical and exploratory analysis techniques to identify insights and trends.Build reports, dashboards, data extracts, and web applications to support decision-making.Create maps, spatial visualizations, routing analyses, and network studies.Build and maintain scalable datasets and pipelines within Databricks.Improve data quality, performance, automation, and repeatability of analyses.Collaborate directly with stakeholders to understand requirements and communicate findings.Clearly articulate assumptions, limitations, and business implications of analyses.What You BringExperience solving complex problems and defining analytical approaches on your own.Solid SQL skills with experience performing in-depth data analysis.Proficiency in Python for data analysis and data engineering.Experience working with large datasets in analytical or production environments.Comfort working with incomplete requirements and evolving business needs.Effective communication skills with the ability to explain technical concepts to non-technical audiences.Experience using version control and collaborative development practices.Degree in a quantitative discipline.Advanced analytical thinking, problem-solving, and stakeholder management skills.Nice to haveDatabricks, or another Spark-based platform.Azure, or comparable cloud data platform experience.Geospatial analysis: Python libraries, PostGIS, or QGIS.Domain background in maritime, or an adjacent asset-heavy or logistics sector such as aviation, automotive, rail, or freight.You Are Someone WhoIs keen to take accountability and ownership for delivering customer needsIs able to self-manage and prioritize tasks towards meeting goalsIs effective at solving problems, trouble-shooting and making timely decisionsIs motivated and willing to take initiativeCommunicates in a structured way and has ability to present technical ideas in user-friendly languageDisplays a team spirit, particularly in a multicultural environmentResponds positively to learning opportunities and is comfortable stepping out of own comfort zone Show more Show less