🚛 About Qargo

Qargo is a cloud-based (SaaS) Transport Management Platform. We are a scale-up based in London and Ghent (Belgium), rapidly expanding across Europe. The platform is an ‘all-in-one system’, handling everything from initial order entry to final invoicing. It optimises planning and has a built-in AI feature that automates lengthy manual tasks. Qargo is designed to help modern logistics operations run more efficiently, while increasing profitability and sustainability.

We’re looking for a Senior Analytics Engineer to join our team in Ghent. If you’re looking to work in an international company in a role that offers autonomy, ownership and impact, this is the role for you!

💼 About the Role

As a Senior Analytics Engineer, you will be the driving force behind Qargo’s data landscape. You’ll take ownership of our data architecture, build reliable data models, and translate complex datasets into actionable insights that influence strategy across the organisation.

This senior position offers high variety and impact, you’ll collaborate with product, engineering, sales, account management, finance, and customer onboarding teams to ensure data becomes a strategic asset for Qargo.

You will shape our internal and customer-facing dashboards, scale our data infrastructure, and elevate our analytics capabilities to support Qargo’s rapid growth.

🔑 Key Responsibilities

• Own and evolve Qargo’s data architecture, ensuring scalable, reliable and high-quality data pipelines.
• Maintain, extend and optimise our in-app Lightdash dashboards, including operational, financial, and performance insights.
• Build and refine internal BI dashboards to support data-driven decision-making across departments.
• Develop account management dashboards that reveal feature adoption, revenue insights, and upsell opportunities.
• Create product and engineering analytics, including feature usage dashboards using Mixpanel or custom-built tracking solutions.
• Lead integration-related reporting, providing visibility on integration health, tenant usage, and performance.
• Build billing and cost-analysis dashboards, including API call cost allocation and tenant-level breakdowns.
• Mentor team members, set best practices, and raise the bar for analytics engineering within Qargo.

✅ Skills & Experience

• Extensive experience in data analytics, BI engineering, or analytics engineering in a SaaS or data-driven environment.
• Strong proficiency in SQL, data modelling, and dashboarding tools (Lightdash, Superset, Tableau, Looker, or PowerBI).
• Experience with analytics platforms such as Mixpanel and user behavior tracking methodologies is a plus.
• Proven ability to collaborate effectively with multidisciplinary teams (product, engineering, sales, finance).
• Strong analytical and problem-solving skills, with an eye for scalability and data quality.
• A background in Computer Science, Data Engineering, Statistics, or a related field.
• A proactive mindset with the ability to take ownership of complex problems and guide them to completion.

🤝 What We Offer

• Real impact and ownership in a growing international scale-up
• A supportive and collaborative team culture
• Hybrid working setup with flexibility and trust
• Opportunities to learn, grow, and expand your technical knowledge
• Competitive salary and benefits package