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Design and implement robust data pipelines aggregating data from backend services, GA, and onchain sourcesusing both SQL and NoSQL databases to deliver a unified performance view.
Create dashboards and reports (e.g., via Dune Analytics and Metabase), and partner with engineering, product, and biz teams to define KPIs that guide strategy and product enhancements.
Monitor market trends and system performance to anticipate shifts in liquidity demand, user behavior, and swap activity informing resource allocation and feature planning.
Optimize data infrastructure for scale and efficiency, ensuring analytics cope with increasing complexity and volume in our liquidity marketplace.
Build and maintain data models that illuminate relationships between liquidity providers, users, and system performance spotting bottlenecks and growth opportunities.