Source description
About the role
Proven experience working with large, complex datasets within commodities, shipping, logistics, supply chains, or related physical markets.
Strong proficiency in SQL and Python (PostgreSQL, MSSQL, or similar) is a core requirement. You use both to query databases, analyse data, and automate workflows, building and maintaining scripts to remove manual processes and improve efficiency. Strong Excel skills are required for analysis and commercial reporting.
Demonstrated understanding of commodity markets and the commercial drivers behind physical data. You are naturally curious about market developments, trade flows, supply and demand dynamics, and global events influencing commodity movements, and you seek to understand both what changed and why it changed when investigating anomalies.
Comfortable managing high-frequency datasets, identifying anomalies, and maintaining high standards of data quality under tight deadlines.
Strong communicator, able to translate complex technical outputs into clear, actionable insights for both technical and non-technical stakeholders, and build effective relationships across teams.
Proactive and self-directed: takes ownership, anticipates issues, and drives work independently to completion.
Experience supporting or mentoring junior colleagues, or a clear interest in developing others as the team grows.
Desirable:
Experience working with seaborne commodity data (e.g. AIS, port or vessel data).
Familiarity with data visualisation tools such as Tableau or similar.
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