Power BI Engineer
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Job description
We’re looking for a skilled Power BI Engineer to design, build, and maintain business intelligence solutions that give real-time visibility into freight operations. You’ll work closely with operational, commercial, and finance teams to turn complex logistics data (shipments, rates, volumes, KPIs) into clear, actionable dashboards and reports that drive performance across the business., Design, develop, and maintain Power BI dashboards and reports for operational, commercial, and financial stakeholders Build and optimise data models using DAX and Power Query (M) Work with data from multiple sources, including freight/forwarding systems (e.g. CargoWise, Magaya, or similar), ERP, and Excel-based data Partner with operations and management teams to understand reporting needs and translate them into effective visualisations Manage data refresh schedules, gateways, and workspace administration Ensure data accuracy, consistency, and governance across reports Identify opportunities to automate manual reporting processes Support ad-hoc data analysis requests across the business Maintain documentation for data models, reports, and processes
Requirements
Proven experience as a Power BI Developer/Engineer, ideally within logistics, freight forwarding, supply chain, or a related industry Strong command of DAX and Power Query (M) Experience building data models from multiple source systems Solid understanding of SQL for data extraction and transformation Familiarity with freight forwarding or logistics data (shipments, tariffs, volumes, KPIs) is highly advantageous Experience with Power BI Service administration (workspaces, gateways, refresh schedules) Strong analytical mindset with excellent attention to detail Good communication skills, with the ability to explain data insights to non-technical stakeholders Desirable Experience with CargoWise, or other freight management systems Knowledge of Python or other scripting languages for data manipulation Experience with Azure data services (Azure SQL, Data Factory, etc.)
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