Kraken Digital Asset Exchange

Client Engagement Data Analyst – AI

Kraken Digital Asset Exchange

full-time

Posted on:

Location Type: Remote

Location: Brazil

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Tech Stack

SQL

About the role

  • Design and coordinate AI agent workflows that solve real operational problems
  • Identify where AI can deliver the most impact within CE 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 they are rolled out broadly
  • 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
  • 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
  • Partner closely with senior AI and engineering leaders
  • Act as the connective layer between CE operations, the AI/automation team, and engineering
  • Champion AI literacy across the CE team
  • Communicate data model changes, tagging updates, and reporting outputs to non-technical stakeholders
  • Contribute to backlog prioritization by sizing the data readiness requirements of proposed AI and automation initiatives

Requirements

  • 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 (OpenClaw, LangChain, CrewAI) or building AI-powered workflows to solve real business problems
  • A proven track record of setting up the data foundations, structures, and governance that allow AI to actually work
  • Strong SQL skills and comfort querying and transforming data across complex systems
  • Hands-on experience with Zendesk or a comparable CX/case management platform
  • Proficiency with BI tools such as Looker, Mixpanel, or similar
  • Experience designing or contributing to data taxonomy, tagging frameworks, or classification systems
  • Ability to translate between operational language and technical/data requirements
  • Familiarity with how AI/ML systems consume structured data
  • A genuine desire to teach and uplift others.
Benefits
  • Competitive salary
  • Working from anywhere in Brazil or secondary locations
  • Flexible working hours
  • Remote work options
  • Professional development opportunities
Applicant Tracking System Keywords

Tip: use these terms in your resume and cover letter to boost ATS matches.

Hard Skills & Tools
AI agent workflowsdata modelingSQLdata governancedata taxonomytagging frameworksAI/ML systemsdata transformationreporting outputsdashboard development
Soft Skills
communicationcollaborationteachingproblem-solvingownershipadaptabilityanalytical thinkingprioritizationfeedback managementcross-functional partnership