A junior analyst role combining food and commodity market research with data preparation and reporting. You’ll help turn market sources and operational datasets into checked analysis, weekly updates, and supervised forecasting experiments.

Role at a glance

Skills mentioned

What you will likely work on

• Research food and commodity markets using approved AI tools and source materials; verify findings against originals and record citations and dates.
• Maintain price, production, and trade datasets, standardizing formats and checking for gaps, duplicates, and outliers.
• Use AI-assisted SQL or Python drafts when useful, then test the results against the underlying data.
• Build Excel analyses, charts, and dashboard updates, and draft concise weekly market notes explaining changes and uncertainty.
• Reproduce simple time-series baselines and run supervised AutoML comparisons against later holdout data, documenting methods and errors.
• Use approved systems when handling client data.

Good fit signals

• You are pursuing or recently completed a quantitative degree, such as Mathematics, Statistics, Economics, or Data Science, or a related field.
• You have up to two years of experience and working Excel skills, basic statistics, plus hands-on Python or SQL exposure from coursework, projects, an internship, or employment.
• You can show a project or work sample where you used an AI tool for research, data cleaning, or analysis, checked its output, and explained findings.
• Clear English communication, careful checking, and documenting your work are important; food, agriculture, or economic-data projects are a plus.