Staff Analytics Engineer

Let’s Tango ! Where Innovation Meets Impact. At Tango Analytics, we’re all about helping businesses make smarter decisions through powerful technology, insightful data, and a whole lot of collaboration. Whether you're a creative thinker, a strategic planner, a tech wizard, or a customer champion, there's a place for you on our team. We believe work should be meaningful and fun — so if you're ready to make a difference while enjoying the journey, come join us and let's Tango ! Role Summary: We are looking for a Staff Analytics Engineer to be the most senior individual contributor on Tango 's Analytics Engineering team and the hands-on technical anchor for the modern analytics foundation we are building. You will design and build the governed semantic layer, the curated data models on our Redshift warehouse, and the Omni-based analytics that both our customers and our internal teams rely on. You will be prolifically hands-on: writing the models, defining the metrics, and setting the patterns the rest of the team builds on. This role is central to our transformation. Tango 's analytics have historically been delivered the old way: bespoke, services-led custom reporting on a legacy Oracle BI stack. We have signed Omni as our new analytics layer and are building a modern data warehouse on Redshift underneath it. You will be the engineer who makes the new stack real, extracting business logic from legacy reports, re-implementing it as tested, reusable models, and standing up the semantic layer that makes every metric consistent across dashboards, embedded product surfaces, and AI. Key Responsibilities: Build and own the governed semantic and metrics layer Design and own the semantic layer that is the single source of truth for Tango 's metrics. Define metrics once, in code, so they resolve consistently across every dashboard, embedded product surface, notebook, and AI query. Establish the modeling conventions, certification process, and documentation that keep the layer c