Verified Job
IT / Software / Data Analyst
Bilingual Product Analyst (French)- job post Descartes
IT / Software / Data Analyst
#803823
Remote / WFH
Descartes
Job Description
Full job description
Descartes Unites the People and Technology that Move the World
The need for efficient, secure, and agile supply chains and logistics operations has become ever more critical and complex. By combining innovative technology, powerful trade intelligence and the reach of our network, Descartes helps get goods, information, transportation assets, and people where they’re needed, when they’re needed.
We’re one of the most broadly deployed logistics and supply chain technology companies in the world. More than 26,000 customers around the globe use our cloud-based solutions to transform the way they move inventory and information to enhance productivity, better serve customers, thrive competitively, keep pace with evolving regulations, and respond to rapidly changing market conditions. Descartes is publicly traded (Nasdaq:DSGX, TSX:DSG) with headquarters in Waterloo, Ontario, Canada, and offices and partners around the world. With record financial performance for more than 16 years, we lead the industry in innovation investment. Every day, logistics service providers, manufacturers, retailers, distributors, and other logistics-intensive businesses of all sizes rely on our scale, stability, and comprehensive solution footprint to move what’s most important to them. Learn more at www.descartes.com.
We’re growing fast and invite you to join our amazing team.
Our customers rely on our platform to orchestrate complex warehouse, transportation, and last-mile logistics operations. As Product Analyst, you will bridge customer operations and R&D, ensuring we build solutions that solve real business problems and deliver measurable outcomes. This is an API-first product leadership role operating within our Product Operating Model. You will partner closely with customers, Engineering, and Product to translate operational challenges into product outcomes, guide delivery, and continuously validate value through customer feedback, data, and AI-enabled product practices.
Outcomes — What Success Looks Like
1. Deliver Customer-Centric Solutions
• Translate customer needs into clear product outcomes that guide R&D.
• Deliver scalable API capabilities that improve warehouse, transportation, and last-mile operations.
2. Accelerate Product Delivery
• Apply Product Operating Model practices to rapidly validate ideas through Build-Test-Learn cycles.
• Reduce time from concept to customer value using customer feedback, prototypes, and data.
3. Improve Customer Operations
• Drive enhancements to sorting, routing, sequencing, loading, and execution capabilities that improve customer KPIs such as throughput, dwell time, and delivery performance.
• Ensure APIs provide reliable, real-time operational data.
4. Deliver Successful Integrations
• Partner with customers and Engineering to define API contracts and support integrations across WMS, TMS, ERP, and mobile platforms.
• Remove technical barriers that impact adoption and customer success.
5. Leverage AI to Improve Product Delivery
• Use AI to enhance product discovery, research, documentation, backlog refinement, and analysis.
• Transform customer feedback and usage data into actionable product insights while applying sound judgment to AI-generated recommendations.
6. Build Strong Partnerships
• Foster trusted relationships across Product, Engineering, Customer Success, and customers.
• Promote transparency, collaboration, and continuous improvement.
Skills & Competencies — How the Work Gets Done
Product & Technical Expertise
• Strong understanding of REST APIs, authentication, web services, payloads, webhooks, and API documentation.
• Comfortable discussing integrations, API contracts, and data flows with Engineering.
• Experience with enterprise integrations involving WMS, TMS, ERP, or similar platforms.
• Familiarity with SaaS products, mobile applications, and product analytics (SQL or BI tools).
Logistics & Product Leadership
• Strong understanding of warehouse, transportation, and last-mile operations.
• Experience working within a Product Operating Model, using outcome-based planning, experimentation, and continuous discovery
Descartes Unites the People and Technology that Move the World
The need for efficient, secure, and agile supply chains and logistics operations has become ever more critical and complex. By combining innovative technology, powerful trade intelligence and the reach of our network, Descartes helps get goods, information, transportation assets, and people where they’re needed, when they’re needed.
We’re one of the most broadly deployed logistics and supply chain technology companies in the world. More than 26,000 customers around the globe use our cloud-based solutions to transform the way they move inventory and information to enhance productivity, better serve customers, thrive competitively, keep pace with evolving regulations, and respond to rapidly changing market conditions. Descartes is publicly traded (Nasdaq:DSGX, TSX:DSG) with headquarters in Waterloo, Ontario, Canada, and offices and partners around the world. With record financial performance for more than 16 years, we lead the industry in innovation investment. Every day, logistics service providers, manufacturers, retailers, distributors, and other logistics-intensive businesses of all sizes rely on our scale, stability, and comprehensive solution footprint to move what’s most important to them. Learn more at www.descartes.com.
We’re growing fast and invite you to join our amazing team.
Our customers rely on our platform to orchestrate complex warehouse, transportation, and last-mile logistics operations. As Product Analyst, you will bridge customer operations and R&D, ensuring we build solutions that solve real business problems and deliver measurable outcomes. This is an API-first product leadership role operating within our Product Operating Model. You will partner closely with customers, Engineering, and Product to translate operational challenges into product outcomes, guide delivery, and continuously validate value through customer feedback, data, and AI-enabled product practices.
Outcomes — What Success Looks Like
1. Deliver Customer-Centric Solutions
• Translate customer needs into clear product outcomes that guide R&D.
• Deliver scalable API capabilities that improve warehouse, transportation, and last-mile operations.
2. Accelerate Product Delivery
• Apply Product Operating Model practices to rapidly validate ideas through Build-Test-Learn cycles.
• Reduce time from concept to customer value using customer feedback, prototypes, and data.
3. Improve Customer Operations
• Drive enhancements to sorting, routing, sequencing, loading, and execution capabilities that improve customer KPIs such as throughput, dwell time, and delivery performance.
• Ensure APIs provide reliable, real-time operational data.
4. Deliver Successful Integrations
• Partner with customers and Engineering to define API contracts and support integrations across WMS, TMS, ERP, and mobile platforms.
• Remove technical barriers that impact adoption and customer success.
5. Leverage AI to Improve Product Delivery
• Use AI to enhance product discovery, research, documentation, backlog refinement, and analysis.
• Transform customer feedback and usage data into actionable product insights while applying sound judgment to AI-generated recommendations.
6. Build Strong Partnerships
• Foster trusted relationships across Product, Engineering, Customer Success, and customers.
• Promote transparency, collaboration, and continuous improvement.
Skills & Competencies — How the Work Gets Done
Product & Technical Expertise
• Strong understanding of REST APIs, authentication, web services, payloads, webhooks, and API documentation.
• Comfortable discussing integrations, API contracts, and data flows with Engineering.
• Experience with enterprise integrations involving WMS, TMS, ERP, or similar platforms.
• Familiarity with SaaS products, mobile applications, and product analytics (SQL or BI tools).
Logistics & Product Leadership
• Strong understanding of warehouse, transportation, and last-mile operations.
• Experience working within a Product Operating Model, using outcome-based planning, experimentation, and continuous discovery
