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Data Analyst & Population Health Scientist

Job in Chicago, Cook County, Illinois, 60290, USA
Listing for: Illinois Public Health Institute
Full Time position
Listed on 2026-10-21
Job specializations:
  • Business
    Data Analyst, Business Intelligence
Salary/Wage Range or Industry Benchmark: 83000 - 107000 USD Yearly USD 83000.00 107000.00 YEAR
Job Description & How to Apply Below
JOB SUMMARY

The Data Analyst & Population Health Scientist leads the Chicago Region wide Community Information Exchange's (CIE) Data Analytics & Population Health function by transforming complex data into actionable intelligence that supports organizational strategy, operational improvement, partner engagement, evaluation, and health equity. Working closely with executive leadership, functional leaders, technical teams, implementation teams, partner organizations, and community stakeholders, this position develops executive dashboards, evaluates organizational performance, measures implementation outcomes, analyzes referral and utilization trends, supports grant and funder reporting, and provides timely insights that inform strategic decision-making across the organization.

The role will serve as CIE's internal evaluation lead by developing performance measures, designing evaluation frameworks, assessing organizational impact, identifying opportunities for continuous improvement, and strengthening the organization's ability to make data-informed decisions that advance coordinated care and improve population health outcomes. This position is full-time, exempt, and reports to the Managing Director. IPHI's standard work week is 37.5 hours.

DUTIES AND RESPONSIBILITIES

Data Analytics & Business Intelligence
  • Develop and maintain executive dashboards, reports, and performance measures that support organizational decision‑making.
  • Analyze utilization, referral patterns, partner adoption, network performance, and other operational metrics.
  • Produce recurring reports for executive leadership, funders, governance bodies, partner organizations, and other stakeholders.
  • Translate complex datasets into meaningful insights, visualizations, and actionable recommendations.
  • Identify trends and opportunities that strengthen organizational performance and strategic decision‑making.
Population Health Analytics
  • Apply population health and epidemiologic methods to identify trends, disparities, service gaps, and opportunities for improvement.
  • Develop equity‑focused performance measures that demonstrate the CIE's impact across populations and communities.
  • Evaluate utilization patterns to strengthen care coordination, community resource connections, and population health outcomes.
  • Support community health assessments, population‑level analyses, and strategic planning activities.
  • Recommend data‑informed approaches that advance health equity and improve system performance.
Evaluation & Impact Measurement
  • Lead development and continuous improvement of the CIE's organizational evaluation framework.
  • Develop meaningful measures of success for pilot initiatives, implementation activities, strategic priorities, and organizational performance.
  • Design evaluation methodologies, logic models, and performance measurement plans.
  • Serve as the organization's internal evaluation lead while collaborating with external evaluation partners when appropriate.
  • Produce evaluation reports demonstrating organizational impact, implementation outcomes, health equity improvements, and return on investment.
  • Recommend operational and strategic improvements based on evaluation findings.
Data Quality & Decision Support
  • Partner with the Data Steward to strengthen data quality, consistency, reporting reliability, and data governance practices.
  • Identify reporting gaps, data quality concerns, and opportunities to strengthen the CIE's analytics infrastructure.
  • Provide executive analyses that support strategic planning, organizational sustainability, partner engagement, and organizational decision‑making.
  • Develop presentations, dashboards, data visualizations, and executive‑level reporting that communicate findings to diverse audiences.
  • Support organizational planning by…
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