Postúlate en Kit Empleo: kitempleo.cl/empleo/194ufo

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.

n

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, the AI/automation team, and engineering, translating operational data needs into clear technical requirements.
- Champion AI literacy across the team—teach, enable, and build confidence so AI becomes part of everyday work.
- Communicate data model changes, tagging updates, and reporting outputs to non‑technical stakeholders in plain language.
- Contribute to backlog prioritization by sizing data readiness requirements of proposed AI and automation initiatives.

Required Qualifications

- 3–5 years of experience in a data analyst, operations analyst, or similar role—ideally within fintech, crypto, or high‑volume customer operations.
- Demonstrated experience coordinating AI agents or building AI‑powered workflows to solve real business problems.
- Strong track record of setting up data foundations, structures, and governance that enable AI to work—understanding that the blocker is rarely the model, but the data feeding it.




- Strong SQL skills and comfort querying and transforming data across complex systems.
- Hands‑on experience with Zendesk or a comparable CX/case‑management platform, including data structures, ticket fields, tags, and reporting.
- Proficiency with BI tools such as Looker, Mixpanel, or similar—able to build and own dashboards independently.
- Experience designing or contributing to data taxonomy, tagging frameworks, or classification systems.
- Ability to translate between operational language and technical/data requirements, comfortable working with both frontline teams and engineers.
- Familiarity with how AI/ML systems consume structured data—understanding what “model‑ready” data looks like in practice.
- Genuine desire to teach and uplift others, raising the AI capability of the team.

Nice to Haves

- Exposure to AI tagging pipelines, LLM‑based classification, or RAG‑based knowledge systems.
- Experience with Python or scripting for data transformation and automation.
- Background in crypto, digital assets, or compliance‑adjacent operations.
- Familiarity with process‑mining tools or workflow automation platforms (e.g., n8n, Zapier, Make).
- Lean Six Sigma or similar process improvement certification.

EEO Statement As an equal‑opportunity employer, we don’t tolerate discrimination or harassment of any kind. Whether that’s based on race, ethnicity, age, gender identity, citizenship, religion, sexual orientation, disability, pregnancy, veteran status or any other protected characteristic as outlined by federal, state, or local laws.

Postúlate en Kit Empleo: kitempleo.cl/empleo/194ufo

📌 Client Engagement Data Analyst - AI (Arica)
🏢 Kraken
📍 Arica