Location: Remote - Colorado Only
Department: Community Care Alliance
Reports to: CCA Executive Director
Supervisory Role: None
Status: Hourly/Non-Exempt
Position Pay Range: $29.51 - $36.16
Benefits include: Medical, Dental, Vision, 5% 401k Employer Match, FSA, Paid Hours Off, Paid Holidays, Group Discounts, Life & LTD, EAP, and more!
Position open until 5/11/2026 or until filled.
Position Summary The Data Analyst, Population Health & Value-Based Care is responsible for building and maintaining the analytic foundation that supports Community Care Alliance’s (CCA) clinically integrated network (CIN), accountable care organization (ACO), and employer-based health initiatives.
This role transforms claims, clinical, and care-coordination data into accurate, timely, and actionable insights that enable CCA’s rural hospitals, clinics, and care teams to improve quality, manage cost, and succeed in value-based care arrangements.
Working closely with the Executive Director, Clinical Improvement & Performance Analyst, Regional Care Coordination (RCC) team, and external data partners, this position ensures CCA has reliable, trusted data products to support strategic decision-making, performance management, and contract success.
Essential responsibilities include:
• Data Acquisition, Integration, & Quality:
• Collect, import, validate, and maintain data from multiple sources including:
• Claims (Medicare, Medicaid, employer, and managed care plans)
• Electronic health record (EHR) extracts
• Health information exchanges (e.g., Contexture/QHN)
• Care coordination and population health platforms (e.g., REDi)
• CIN participant TIN/NPI roster data
• Monitor data completeness, accuracy, and timeliness; identify and resolve discrepancies in coordination with vendors, payers, and network partners.
• Maintain clean, patient-level and provider-level datasets for multiple populations and contracts.
• Analytics, Reporting, & Dashboards:
• Produce and maintain recurring reports and dashboards related to:
• Total cost of care
• Utilization (ED, inpatient, SNF, readmissions)
• Quality and preventive care measures
• Risk stratification and attribution
• Care management impact (TCM, CCM, RCC outcomes)
• Support reporting needs for UHC, MSSP, Medicaid ICCT, employer plans, and other value-based contracts.
• Develop ad-hoc analyses to support leadership, board reporting, contract negotiations, and strategic planning.
• Translate data into clear, understandable visualizations and summaries for non-technical audiences
• Population Health & Care Management Support:
• Provide analytic support to quality improvement initiatives, preventive care campaigns, and care coordination workflows.
• Monitor trends over time and proactively flag performance risks or improvement opportunities.
• Financial & Contract Performance Analytics:
• Support tracking of shared savings, PMPM payments, benchmarks, and risk-based contract performance.
• Assist with attribution validation, financial reconciliations, and year-end true-ups.
• Provide analytic support for employer and payer discussions, including modeling and performance summaries.
• Collaboration & Communication:
• Work closely with the CCA team, and others as appropriate throughout the organization.
• Serve as a data partner to hospitals, clinics, and network members.
• Participate in internal and external meetings as needed to explain data, validate findings, and support performance improvement efforts.
Knowledge, Skills, and Requirements To perform this job successfully, an individual must be able to perform each essential duty satisfactorily. The requirements listed below are representative of the knowledge, skill, and/or ability required. Reasonable accommodations may be made to enable individuals with disabilities to perform the essential functions.
Preferred Qualifications
• Bachelor’s Degree from an accredited college or university in analytics, public health, healthcare administration, informatics, statistics, or a related field
• 2-4 years of experience working with healthcare data (claims, quality, population health, or clinical data)
• Strong experience in
• Microsoft Excel or Google Sheets
• SQL or similar data-query tools
• Business intelligence or visualization tools (e.g., Power BI, Tableau, Looker, or similar)
• Exper
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