Senior Healthcare Data Analyst

Compass Health Center

. Analyze access, conversion, census, capacity, utilization, length of stay, patient engagement, clinical outcomes, and program performance .

Posted 10/7/2026full-timeRemote • United StatesSenior💰 $95,000 - $112,000 per yearWebsite

Core Competencies

Role fit

Core Competencies

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Demonstrates expertise in healthcare analytics, focusing on patient outcomes, program performance, and clinical workflows. Proficient in translating complex data into actionable insights and recommendations for diverse stakeholders.

Highest-signal resume keywords

Healthcare AnalyticsPower BIAI-Assisted Analytical MethodsClinical Outcomes EvaluationData Validation

ATS Keywords

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Applicant Tracking System Keywords

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Hard Skills

Data AnalysisStatistical AnalysisProgram EvaluationHealthcare Performance AnalysisBehavioral Health KnowledgeClinical Workflow TranslationData DocumentationMetric Definition MaintenanceOutcome ResearchAnalytical Standards

Soft Skills

Strong CommunicationPrioritizationFacilitationStakeholder PartnershipMentoring

Tools & Technologies

Microsoft FabricEMR/EHR SystemsBusiness Intelligence PlatformsAI Tools

Industry Keywords

Healthcare AdministrationHealth InformaticsPublic HealthPatient EngagementPHI ComplianceBehavioral Health Workflows

Tech Stack

Tools & technologies

CloudPHP

About the role

Key responsibilities & impact

Analyze access, conversion, census, capacity, utilization, length of stay, patient engagement, clinical outcomes, and program performance
Develop understanding of behavioral health care delivery across intake, treatment planning, therapy, psychiatry, documentation, authorization, outcomes, and discharge
Partner with clinical, operational, executive, research, and technology leaders to define questions, measures, analytical approaches, and data requirements
Identify trends, patterns, risks, and opportunities to improve care delivery, patient experience, and program performance
Translate complex findings into insights, recommendations, actions, presentations, publications, tables, visualizations, and summaries
Build accurate, documented, reproducible datasets and analyses for outcomes research and program evaluation
Conduct and interpret analyses evaluating patient outcomes, treatment effectiveness, program effectiveness, and population or care-level differences
Maintain metric definitions, documentation, analytical standards, and best practices
Partner with analysts and Data Engineering on consistent definitions, reliable data, and scalable solutions
Standardize recurring analytical needs into dashboards, reports, and repeatable workflows
Apply AI-enabled analytical methods and develop AI-assisted workflows, prompts, standards, and validation practices
Validate AI-generated findings for accuracy, relevance, bias, and clinical or business context
Ensure human judgment and clinical oversight for final analytical conclusions
Mentor other analysts and improve analytical methods, tools, and workflows

Requirements

What you’ll need

Bachelor’s degree in Analytics, Statistics, Information Systems, Healthcare Administration, Health Informatics, Public Health, Psychology, Social Work, Counseling, Nursing, or a related field; equivalent relevant experience may be considered
5+ years of experience in analytics, healthcare analytics, business intelligence, or related analytical work
Clinical-background candidates must have demonstrated experience using data to evaluate care delivery, patient outcomes, program performance, or complex healthcare questions
Experience working with healthcare clinical operations and translating clinical workflows and business questions into meaningful analysis
Experience analyzing healthcare performance, including access, utilization, quality, outcomes, or program effectiveness
Experience with modern analytics and BI platforms such as Power BI
Strong analytical skills and ability to independently investigate complex clinical and operational questions
Ability to translate complex data into clear insights for clinical, operational, and executive audiences
Experience using AI or generative AI to support analytical work and validate outputs
Strong communication, prioritization, facilitation, and stakeholder partnership skills
Understanding of healthcare privacy, security, compliance, and appropriate handling of PHI
Preferred: experience in behavioral health, IOP, PHP, outpatient mental health, substance use treatment, or similar clinical environments
Preferred: familiarity with behavioral health workflows
Preferred: experience with clinical outcomes, program evaluation, or research-related analytics
Preferred: experience with EMR/EHR and other healthcare operational systems
Preferred: experience incorporating AI-assisted methods and/or modern cloud data and analytics platforms such as Microsoft Fabric

Benefits

Comp & perks

Comprehensive medical, dental, and vision plans
401k program with company matching
Generous PTO
Competitive parental leave after 1 year of employment
Continuous training through CEU seminars
Volunteering opportunities
Growth and continuous development opportunities within the organization