Analytics Engineer

ph3About Qargo /h3 pQargo 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. /p h3About Qargo /h3 pQargo 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. /p pWe're looking for an bAnalytics Engineer /b 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 /p h3About The Role /h3 pAs 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. /p pThis 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. /p pYou’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. /p h3Key Responsibilities /h3 ul liBuild, maintain and improve Qargo's data models and data pipelines, ensuring reliable and high-quality data. /li liMaintain, extend and optimise our in-app Lightdash dashboards, including operational, financial, and performance insights. /li liBuild and refine internal BI dashboards to support data-driven decision-making across departments. /li liDevelop account management dashboards that reveal feature adoption, revenue insights, and upsell opportunities. /li liCreate product and engineering analytics, including feature usage dashboards using Mixpanel or custom-built tracking solutions. /li liSupport integration-related reporting by building dashboards that provide visibility into integration health, tenant usage, and performance. /li liBuild billing and cost-analysis dashboards, including API call cost allocation and tenant-level breakdowns. /li liContinuously improve our analytics environment by identifying opportunities to optimise data quality, reporting, and processes. /li /ul h3Skills Experience /h3 ul liAt least 2 years of experience in data analytics, BI engineering, analytics engineering, or a similar role in a SaaS or data-driven environment. /li liStrong proficiency in SQL, data modelling, and dashboarding tools (Lightdash, Superset, Tableau, Looker, or Power BI). /li liExperience with analytics platforms such as Mixpanel and user behaviour tracking methodologies is a plus. /li liComfortable collaborating with multidisciplinary teams including product, engineering, sales, and finance. /li liStrong analytical and problem-solving skills, with attention to data quality and scalability. /li liA background in Computer Science, Data Engineering, Statistics, or a related field. /li liA proactive mindset and eagerness to learn, take ownership, and continuously improve. /li /ul h3What

We Offer
/h3 ul liReal impact and ownership in a growing international scale-up. /li liA supportive and collaborative team culture. /li liHybrid working setup with flexibility and trust. /li liOpportunities to learn, grow, and expand your technical knowledge. /li liCompetitive salary and benefits package. /li /ul /p