Team Lead Trade Analytics & Market Intelligence

Team Lead for Trade Analytics & Market Intelligence reporting directly to the Director of Trade Management. You will own the architectural backbone of trade management decision-making, spending significant time hands-on in code while leading a small, agile team of a seasoned Analyst and a Market Intelligence Specialist. You will be the bridge between raw data and high-level strategy, directly influencing Procurement, Pricing, and Forecasting.

What you'll do

• Own the Data Architecture: Architect and maintain 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 and serve as the technical escalation point for the team.
• Build robust predictive models to anticipate market demand and capacity constraints for smarter procurement and pricing.
• Design comprehensive dashboards (Looker/Tableau/PowerBI) that translate complex data into actionable insights for senior leadership.
• Oversee gathering of external market data (indices, competitor behavior, macro-trends) and merge with internal performance data.
• Provide data-backed recommendations to Trade Managers regarding trade lane strategy, carrier negotiations, and risk management.
• Manage, mentor, and develop two direct reports and establish best practices for coding, data hygiene, and reporting standards.
• Prioritize the team's backlog to ensure solving the most critical business problems first.

What you'll need

• Bachelor's or Master's degree in Computer Science, Statistics, Mathematics, Economics, or a related quantitative field.
• 7+ years of experience in advanced analytics, data science, or quantitative modeling, with at least 1-2 years mentoring or leading junior analysts.
• Expert-level proficiency in 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).
• Proven ability to explain technical concepts to business stakeholders and passion for helping team members grow their skills.

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.
• Working knowledge of C++ for high-performance data processing or system integration.