Data Analyst

The World Maritime University (WMU) was founded in 1983 within the framework of the International Maritime Organization (IMO), a

specialized agency of the United Nations, as its premier center of excellence for maritime postgraduate education, research and

capability development. The University offers unique postgraduate programmes, conducts wide-ranging research in maritime and

ocean- related studies, and advances maritime capability development in line with the UN Sustainable Development Goals.

The WMU–Lloyd´s Register Foundation Maritime Observatory is a new strategic initiative established to strengthen the availability,

analysis and use of high-quality evidence in support of maritime policy and decision-making. The Observatory will combine data

analytics, evidence synthesis and policy-relevant research to generate insights on important and emerging maritime issues.

The Data Analyst will support the establishment and operation of the WMU-LRF Maritime Observatory across the full analytical

cycle: identification, acquisition, management, analysis and visualization of maritime data and the development of evidence-based

knowledge products such as dashboards, models, reports and briefs.

The incumbent will report to the Head of Data and Insights (WMU-LRF Maritime Observatory) and work closely with other members of

the Observatory team to develop its data and analytical capabilities. The position requires a combination of technical data

skills, analytical curiosity and an interest in applying data and evidence to maritime policy questions.

This is an opportunity to join a strategic initiative, the Observatory, at its founding stage. The successful candidate will have

an opportunity to contribute directly to the development of its data infrastructure, analytical methods, AI workflows and

knowledge products. It is an opportunity to shape how the Observatory works from the outset, and contribute to its work supporting

international maritime policy-making.

• support the identification, acquisition, collection and integration of relevant maritime datasets from public, commercial and

partner sources;

• contribute to the development and maintenance of the Observatory;s data infrastructure,including databases and data management

processes;

• design, build and continuously improve AI-assisted and automated workflows for data processing, analysis, evidence synthesis

and reporting within the Observatory’s quality assurance framework;

• draft and contribute to reports, policy briefs, presentations and other knowledge products for technical and non-technical

audiences;

• contribute to collaboration with data providers, research institutions, international organizations, maritime administrations,

industry and other partners;

• support the documentation of datasets, analytical methods and procedures to ensure transparency, reproducibility and

appropriate data governance;

• follow developments in data analytics, visualization, artificial intelligence and other relevant digital technologies and

explore their appropriate application within the Observatory; and perform other duties related to the development and operation

of the Maritime Observatory as required.

• An advanced university degree (Master´s degree or equivalent) in data science, statistics computer science, economics,

engineering, maritime studies, transport studies, social sciences or another discipline with a strong quantitative or

analytical component.

• Formal training or demonstrated specialization in data analytics, statistics, data science machine learning, artificial

intelligence, data visualization or related fields.

• Knowledge of maritime transport, shipping, maritime safety, sustainability or another maritime-related field would be an

advantage.

• Ability to work effectively with analytical and/or programming tools (e.g., Python, R, SQL, Power BI, Tableau or comparable

technologies).

• ability to work independently while contributing effectively to a small multidisciplinary team; accuracy and attention to

detail;

WMU offers an attractive remuneration package including a tax-free annual net base salary starting at the applicable P1 level

(subject to mandatory deductions for pension contributions and health insurance), with a variable post adjustment, dependency

benefits, education grant, relocation and repatriation expenses, as applicable under the relevant rules.

WMU is committed to creating a diverse and inclusive environment of mutual respect. WMU recruits and employs staff regardless of

gender identity, sexual orientation, race, religious, cultural and ethnic backgrounds or disabilities.