AnalyticsEngineer

## Description Who are we? At UpGuard, we are replacing manual security bottlenecks with AI-driven precision. Fresh off a US$75M Series C, we are scaling our infrastructure to process 100 billion risk signals daily. This isn’t just growth; it’s a total reimagining of how the world manages cyber risk. We build the Cyber Risk Posture Management (CRPM) platform that security teams actually love. By integrating security ratings, threat intel, and agentic AI, we empower organisations to stay ahead of an ever evolving attack surface. We aren’t just building another tool; we’re defining a category. We provide the autonomy to ship world-class technology and the resources to do it at a global scale. Our Analytics team at UpGuard supports all of our teams to extract key insights from the data that we collect. We extract data from multiple sources and build insightful dashboards that display key metrics and support leaders in decision-making. We also build integrations between systems to collect required data seamlessly.  ## What will you do? Revenue Data Layer Ownership: Design, build, and maintain the foundational revenue data models in dbt – ARR, pipeline, bookings, churn, expansion, retention, attach rates, and the data models that join them to customer, opportunity, and product context. This is your domain end-to-end. Stakeholder Partnership: Establish strong, durable working relationships with leaders and operators across Sales, Customer Success, and Revenue Operations. Translate loose, evolving requirements into well-specified models and clear metric definitions that stakeholders trust and can actually use. Requirements Gathering: Sit with the people who use the data. Understand the operational reality behind a request before writing any SQL. Distinguish the actual decision being made from the artefact that was asked for, and bring back a sharper proposal than the one you were handed. Pragmatic Delivery: Be excellent at 80/20-ing. Ship the version that unlocks the decis