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Intelligence Analyst

PhilippinesRemoteFull-time

AI Summary

We are seeking an experienced Intelligence Analyst to lead the optimization of AI-driven workflows and operational architecture. You will analyze systemic patterns and bottlenecks to drive autonomous efficiency, transforming raw data into strategic, actionable decisions for our automated systems.Key ResponsibilitiesStrategic Systems Optimization: Analyze operational data trends to drive systemic refinements and high-impact strategic recommendations that improve the entire operation.Workflow Desi

About this role

We are seeking an experienced Intelligence Analyst to lead the optimization of AI-driven workflows and operational architecture. You will analyze systemic patterns and bottlenecks to drive autonomous efficiency, transforming raw data into strategic, actionable decisions for our automated systems.

Key Responsibilities

  • Strategic Systems Optimization: Analyze operational data trends to drive systemic refinements and high-impact strategic recommendations that improve the entire operation.
  • Workflow Design: Manage and refine operational workflows, ensuring seamless handoffs and maintaining high standards of output quality.
  • Performance Calibration: Define and adjust key performance benchmarks to balance speed, autonomy, and accuracy across our operations.
  • Continuous Improvement: Manage the continuous learning loop by analyzing feedback from operational teams and integrating these learnings back into the system architecture.
  • System & Workflow Optimization: Monitor performance metrics and analyze patterns in automated outputs to refine processes and optimize the human-in-the-loop balance.
  • Data Collection & Insight Synthesis: Proactively collect, organize, and synthesize operational data from system logs and human-in-the-loop feedback to identify trends, pinpoint error patterns, and fuel continuous system improvement.

Requirements

  • Bachelor's degree in Industrial Engineering, Operations Research, Management Engineering, Statistics, Applied Mathematics, Data Analytics, Business Analytics, Economics, or a closely related field is required.
  • Experience: 3–6 years of professional experience in operations, quality management, analytics, or process improvement within a data-rich environment, ideally in healthcare, clinical support, healthcare shared services, or similar operational environments.
  • Strong systems thinking, with experience understanding how changes to one variable affect the broader system.
  • Experience with data-to-decision modeling, pattern recognition, and analytical decision-making in situations with incomplete information.
  • Ability to translate complex data insights into clear, actionable recommendations for leadership and operational teams, with exceptional English verbal and written communication skills for client interaction and data gathering.
  • Direct experience with AI tools is a plus.

Benefits

Grow Where You Win

At Xillium, we believe your career should be a win, not just a job.

We offer stability, growth, and benefits designed to help you succeed at every stage.

Competitive Pay

  • Paid training
  • Annual salary increase
  • 10% night differential & holiday pay
  • Attendance bonus
  • Career advancement & incentives

Health & Protection

  • Free HMO after training
  • 1 free dependent (Year 1)
  • Up to 2 dependents (under 5 years tenure)
  • HMO upgrade at Year 5
  • SSS, PAG-IBIG, PhilHealth

Paid Time Off

  • Service Incentive Leave (prorated)
  • Sick & Vacation Leave
  • Bereavement, Maternity/Paternity
  • Solo Parent & Gynecologic Leave
  • Tiered leave credits
  • Convertible leave credits

Financial & Long-Term Benefits

  • 13th month pay (June & December release)
  • No-interest cash advance (after 1 year, subject to conditions)
  • FWD retirement fund (Year 4 eligible, Year 7 fully covered)
  • Year-end performance incentive
  • Milestone recognition packages

Work Environment

  • Company equipment + IT support
  • Work-life balance
  • Performance appraisal
  • Continuous learning
  • Inclusive, values-driven leadership

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