Provide daily validation and QA across multiple commodity datasets in a rotational program.
Maintain core workflows during analyst absences to ensure consistent, validated data.
Onboard quickly onto new commodity areas to deliver accurate, timely data processing and validation.
Support data investigations, anomaly detection, and issue resolution to safeguard quality.
Collaborate with analysts to understand methodologies, assumptions, and data pipelines.
Document processes and handover notes to ensure seamless rotations.

🎯 Requirements

Experience or academic background in energy markets, commodities, or data analytics.
Strong analytical and problem-solving skills with large datasets.
Ability to learn new market structures and data workflows quickly.
High attention to detail and commitment to data quality.
Experience in fast-paced, deadline-driven environments.
Commercial experience with Python, SQL, or other data-processing tools.

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