About the Job Draiver is an industry-leading self-learning logistics platform that enables vehicle movement planning, coordination, and execution. We connect businesses to transport services and independent contract drivers via a seamless digital application.

We are looking for a Marketplace Analyst to serve as the analytical engine of our operations team. You will be responsible for diving deep into our data to monitor the health of our driver marketplace, identifying supply-demand imbalances, and providing the actionable insights needed to scale our global platform. This role is ideal for a data-driven problem solver who enjoys translating complex numbers into clear operational recommendations.

What You’ll Do

• Monitor Marketplace Health: Track daily performance metrics across supply and demand to identify trends in driver engagement, retention, and fulfillment rates.
• Data Modeling & Reporting: Build and maintain automated dashboards and reports that provide visibility into regional performance (US, Brazil, Mexico, Canada).
• Support Product Strategy: Conduct deep-dive analyses to validate product features, helping the product team prioritize updates that improve trip allocation and pricing accuracy.
• Operational Optimization: Identify bottlenecks in the driver onboarding and compliance funnels; recommend data-backed adjustments to improve conversion.
• Market Launch Analysis: Assist in the rollout of new markets by conducting competitive research and setting up initial KPI tracking frameworks.
• Collaborative Troubleshooting: Partner with local operations teams to investigate anomalies in marketplace data and propose immediate tactical solutions.

Basic Qualifications

• Education: Bachelor’s degree in Business Analytics, Economics, Statistics, Engineering, or a related quantitative field.
• Experience: 1–3 years of experience in data analysis, operations research, or a similar analytical role (gig-economy or logistics experience is a plus).
• Analytical Rigor: Advanced proficiency in Excel/Google Sheets (complex formulas, nested functions, and data modeling).
• Communication: Ability to distill complex data sets into concise summaries for stakeholders across different departments and cultures.
• Curiosity: A strong desire to understand the "why" behind the numbers and a proactive approach to solving ambiguous problems.
• Professional proficiency in English (written and spoken).

Bonus Points If

• You are proficient in SQL for data extraction and manipulation.
• You have experience with data visualization tools like Tableau, PowerBI, or Superset.
• You have basic knowledge of Python or R for statistical analysis.
• You have working proficiency in Spanish