Client Engagement Data Analyst (O'Higgins)

Client Engagement Data Analyst (O'Higgins)

16 abr
|
Kraken
|
O'Higgins

16 abr

Kraken

O'Higgins

The Client Engagement Data Analyst – AI This role sits at the intersection of client engagement operations, data infrastructure, and AI capability. It ensures data signals flowing through support systems are clean, well‑structured, and ready to power AI‑driven insights and automation. Core Responsibilities Design and coordinate AI agent workflows that solve real operational problems, going beyond off‑the‑shelf tools to build systems that actually drive outcomes. Identify where AI can deliver the most impact within client‑engagement operations and take ownership of making those use cases work end‑to‑end. Establish the data foundations, tagging logic, and system architecture that allow AI to make accurate, reliable decisions. Act as the team’s first mover—testing, applying, and refining new AI capabilities before broad rollout. Design and maintain data models that support AI tagging, classification, and reporting across client‑engagement systems.



Audit and optimize data tables in Zendesk and connected platforms to ensure they are structured for AI consumption. Define how support‑data categories, fields, and hierarchies map to desired AI output, working closely with the AI layer owner. Identify gaps between current data structure and what is needed to unlock new AI capabilities. Build and maintain dashboards and reports that surface AI performance signals, support trends, and operational health metrics. Develop the Echo Report and other AI‑driven reporting outputs that translate raw data into clear client and operational insights. Monitor the feedback loop between AI outputs and human behavior, tracking specialist interactions and model efficacy. Proactively identify emerging patterns in support data and connect them back to reporting and signal strategy. Partner closely with senior AI and engineering leaders to learn from and contribute to new capabilities. Act as the connective layer between client‑engagement operations, t

📌 Client Engagement Data Analyst (O'Higgins)
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