You are a data-driven operator who thinks like a builder and brings rigorous systems thinking to Customer Experience (CX) analytics. You see fragmented CX processes as opportunities to build scalable, durable data infrastructure. You thrive at the intersection of CX, data analysis, and operations - turning complex datasets, customer interactions, and performance signals into clear, actionable insights that drive business outcomes.
You bring a combination of analytical rigor, systems architecture, and customer operations expertise. You’re comfortable working with large datasets across multiple platforms, writing advanced, performant SQL every day to query and model that data, designing performant dashboards and reporting frameworks, and identifying patterns and root causes across customer journeys. You don’t just report on data - you build systems that enable teams to access and act on insights independently. You approach every operational problem with a bias toward automation and systems that scale.
You have genuine depth in modern analytics platforms and understand how data flows through customer-facing and internal systems. You’re forward-thinking about AI and automation, but apply critical judgment about what requires human expertise and what can be intelligently automated. You bring structure and follow-through to data governance, process design, and knowledge systems so that insights compound over time.
You are highly detail-oriented and structured, with a strong sense of ownership over the systems and analytics foundations you build. At the same time, you are a collaborative partner who can work cross-functionally with stakeholders across Customer Success, Support, Product, Engineering, and Data & Analytics to translate business questions into data strategy, ensure data quality, and operationalize insights at scale.