About This Role
This role in the Research & Statistics Department focuses on conducting surveys within the maritime industry, refining survey methodologies, and transforming data into actionable insights for policy development. The position suits a quantitative professional who can combine statistical expertise with data analysis for decision-making.
Responsibilities
- Design, plan, and execute market surveys, including the conceptualisation and testing of survey questionnaires to support user requirements
- Gather, compile, and visualise statistics in one or more specific fields for report generation
- Work with business users to develop new indicators to support their data requirements
- Review survey processes to implement further improvements in survey efficiency
- Work with Data Engineers to review and improve survey data collection processes and data quality
- Work with economists to conduct statistical and econometric analysis that will support decision-making
- Employ effective use of appropriate software and techniques to create appropriate survey samples that effectively balance respondent burden and support for detailed analyses
- Manage survey operations, including respondent management, data verification, cleaning, and compilation to ensure a high standard of quality in data sets to be used in the analysis work
- Develop logically structured presentations, including narratives of research and/or analytics findings, to secure stakeholder commitment, which can include sophisticated visualisations and dashboards to explain these results
Requirements
- Background in Economics, Mathematics, Applied Statistics, or other related disciplines with substantial quantitative content
- Strong analytical and quantitative skills with the ability to learn and apply relevant statistical and analytical tools and techniques for data compilation and analysis
- Able to code using Python/R to perform data analysis and operationalise data analytics workflow and processes
- Experience in data visualisation tools and libraries such as Tableau, Qlik, ggplot2
- Strong communication skills with the ability to articulate and present complex data insights and information for a broad range of audiences in a concise and actionable manner
- Understand business processes well
- Creative and innovative in solving problems
- Achievement driven and delivery focused while maintaining required quality
- Team player with strong organisational and people management skills
- Experience in collaborating with interdisciplinary teams that combine technical, business, and data science competencies
- Excellent communication skills, both oral and written, with ability to pitch ideas and influence stakeholders
