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Sovos in Lisbon is hiring a BI/Analytics Engineer to design embedded analytics dashboards and KPI frameworks for tax compliance data. You will configure templates, semantic layers, and APIs to enable seamless integration with partner systems.
You will collaborate with product, engineering, and services teams, applying AI-powered insights and best practices in data visualization to deliver actionable tax analytics for customers and internal stakeholders.
The digitization of tax compliance is fundamentally changing global commerce and how businesses need to operate and grow. Governments now have real-time visibility into business data, creating new challenges and new opportunities for organizations around the world. At Sovos, we're transforming tax compliance from a business requirement into a driver of growth through AI-powered technology that delivers the accurate, real-time insights businesses need to make smarter decisions.
Bachelor's degree in a related field or equivalent experience. You've built solid experience with embedded analytics platforms and BI tool configuration, including dashboard design principles, data visualisation best practices, and KPI frameworks. You're proficient in designing charts, graphs, and visual representations of complex datasets, with a strong understanding of relational database structures, SQL query design, and data modelling principles. You have experience with BI tool APIs, integration patterns for embedded analytics, and semantic layer concepts for data abstraction. You understand indirect tax compliance processes (VAT/GST, SAF-T reporting) and relevant KPIs, or you're eager to develop this domain knowledge quickly. You're comfortable working across product development, professional services, partners, and sales teams, with knowledge of API-based integrations and PaaS/AaaS delivery models. You're fluent in written and spoken English. Due to client contractual obligations, the successful candidate will be asked to clear a background check upon hire. Будет плюсом: additional European languages are an advantage; Comfort with AI-assisted workflows and tools is a strong plus