Analytics Engineer

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 an 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 an Analytics Engineer, you will play a key role in shaping Qargo's data landscape. You'll build and maintain reliable data models, develop impactful dashboards, and turn complex datasets into actionable insights that support decision-making across the organisation.

This role offers plenty of variety and impact. You'll collaborate with product, engineering, sales, account management, finance, and customer onboarding teams to help make data a strategic asset for Qargo.

You'll contribute to both internal and customer-facing dashboards, help scale our data infrastructure, and support the continued growth of our analytics capabilities as Qargo expands.

🔑 Key Responsibilities

• Build, maintain and improve Qargo's data models and data pipelines, ensuring reliable and high-quality data.
• 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.
• Support integration-related reporting by building dashboards that provide visibility into integration health, tenant usage, and performance.
• Build billing and cost-analysis dashboards, including API call cost allocation and tenant-level breakdowns.
• Continuously improve our analytics environment by identifying opportunities to optimise data quality, reporting, and processes.

• At least 2 years of experience in data analytics, BI engineering, analytics engineering, or a similar role in a SaaS or data-driven environment.
• Strong proficiency in SQL, data modelling, and dashboarding tools (Lightdash, Superset, Tableau, Looker, or Power BI).
• Experience with analytics platforms such as Mixpanel and user behaviour tracking methodologies is a plus.
• Comfortable collaborating with multidisciplinary teams including product, engineering, sales, and finance.
• Strong analytical and problem-solving skills, with attention to data quality and scalability.
• A background in Computer Science, Data Engineering, Statistics, or a related field.
• A proactive mindset and eagerness to learn, take ownership, and continuously improve.

• 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.