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JPMorgan Chase in Wilmington, NC is seeking a Data Visualization Sr Associate to translate leadership questions into trusted data products and production‑grade analytics that inform fast, high‑confidence decisions.
You will design executive dashboards in ThoughtSpot, Tableau, and Databricks, build AI‑enabled conversational analytics, and partner with Finance, Product, Data Engineering to ensure data quality, security, and scale.
Have an opportunity to help shape how a major Finance organization makes decisions — and grow your career while you do it. You will combine best-in-class business intelligence with applied artificial intelligence to deliver insights that reach senior leaders. You will help move the team beyond static dashboards toward natural-language, decision-ready experiences. This is a high-visibility, hands-on role for a technically strong contributor who wants to build durable solutions and develop their craft. It begins as an individual contributor position with room to take on increasing scope and technical ownership as the portfolio grows.
As a Data Visualization Sr Associate on the Finance Data & Insights team, you will help deliver executive-grade insights and artificial-intelligence-enabled experiences that help senior Finance leaders make faster, higher-confidence decisions. You will contribute across the full lifecycle of our visualization and conversational analytics products — from framing the problem and modeling the data to designing the experience, deploying it, and driving adoption. You will help build guided self-service and natural-language tools that let leaders explore performance drivers, scenarios, and risk-and-return trade-offs in plain language. You will partner closely with Finance, Product, Data Engineering, and platform teams to keep everything secure, compliant, and production-grade. Most importantly, you will help translate leadership questions into trusted data products and high-performing experiences. You will support the modernization of the team's analytics delivery, partnering across Finance, Product, Data Engineering, and platform teams to ensure solutions are secure, compliant, and production-grade. You will contribute hands-on to the technical translation from leadership questions into governed data products and performant experiences.