Expert Trade Analyst
Forto
RELISTED
Seniority
Midweight
Model
In-Office
Sector
Salary
Undisclosed
Contract
Full-Time
In the Trade Management team, you'll join an international and diverse group of passionate experts. You'll be a hands-on builder of the analytical backbone behind trade management decisions – spending the large majority of your time in the code, building complex data models, writing high-performance queries, and designing algorithms.
What you'll do
- Own the data pipelines and models that drive GP reporting, demand forecasting, and yield management engines.
- Personally write and optimize complex code (SQL, Python/R) to solve analytical problems – you are the technical escalation point on trade data.
- Build robust predictive models to anticipate market demand and capacity constraints, enabling Procurement to buy smarter and Pricing to sell more effectively.
- Use AI tools to accelerate development, prototyping, and analysis.
- Design comprehensive dashboards (Looker/Tableau/PowerBI) that translate complex data into clear, actionable insight for senior leadership.
- Gather and synthesize external market data and merge it with internal performance data.
- Provide data-backed recommendations to Trade Managers on trade lane strategy, carrier negotiations, and risk management.
What you'll need
- Bachelor's or Master's degree in Computer Science, Statistics, Mathematics, Economics, or a related quantitative field.
- 5+ years of experience in advanced analytics, data science, or quantitative modeling.
- Expert-level SQL (complex joins, window functions, query optimization).
- Strong programming skills in Python or R for statistical modeling.
- Deep understanding of commercial levers (Pricing, Gross Profit, Yield, Procurement).
- Demonstrated ability to think creatively and solve ambiguous problems quickly.
- Strong communicator, able to translate technical work for business stakeholders.
Nice to have
- Experience within Freight Forwarding, Container Shipping, or Global Logistics.
- Experience with Yield Management or Revenue Management algorithms.
- Familiarity with financial hedging strategies or risk modeling.