Compass Health Center - Senior Healthcare Data Analyst

• Healthcare Analytics & Insights • Analyze access, conversion, census, capacity, utilization, length of stay, patient engagement, clinical outcomes, and program performance. • Develop a strong understanding of behavioral health care delivery, including intake, treatment planning, group, individual and family therapy, psychiatry, documentation, authorization, outcomes, and discharge. • Partner with clinical leaders to understand operational and clinical questions and translate them into meaningful analysis. • Ensure findings reflect how care is actually delivered and are interpreted in the right clinical and operational context. • Identify trends, patterns, risks, and opportunities that can improve care delivery, patient experience, or program performance. • Turn complex findings into clear insights, recommendations, and actions for clinical and executive audiences. • Work independently on complex analytical questions and bring forward recommendations, not just findings. • Clinical Outcomes Research, Program Evaluation & Publications • Partner with clinical and research leaders to define research questions, outcomes measures, analytical approaches, and data requirements for clinical studies and program evaluations. • Build accurate, well-documented, and reproducible datasets and analyses for outcomes research, program evaluation, presentations, and publications. • Conduct and interpret analyses that evaluate patient outcomes, treatment effectiveness, program effectiveness, and differences across populations, programs, or levels of care. • Work with clinical subject matter experts to ensure findings are interpreted appropriately and limitations are clearly understood. • Translate findings into publication-ready tables, visualizations, summaries, and supporting materials for presentations, abstracts, manuscripts, and publications. • Support analytical review through final presentation or publication, including refining analyses, responding to questions, and reproducing results as needed. • Ensure research and publication-related data and analysis follow organizational privacy, compliance, governance, and data-use standards. • Analytics Partnership & Standards • Serve as a trusted analytics partner to clinical, operational, and executive leaders. • Help stakeholders clarify questions, define meaningful measures, and translate needs into analytical approaches. • Establish and maintain trusted metric definitions, documentation, analytical standards, and best practices. • Partner with other analysts and Data Engineering to support consistent definitions, reliable data, and scalable solutions. • Move recurring analytical needs into standardized dashboards, reports, or repeatable workflows. • Help stakeholders understand what the data shows, what it does not show, and how it should be interpreted. • Identify opportunities to improve analytical methods, tools, workflows, and how the organization uses data. • Provide subject matter expertise and mentor other analysts as appropriate. • AI-Enabled Analysis & Validation • Identify analytical workflows where AI can improve the speed, depth, quality, or efficiency of analysis. • Use AI to accelerate data exploration, analytical development, quality review, synthesis, and interpretation while independently validating final outputs. • Develop repeatable AI-assisted analytical workflows, methods, prompts, standards, and validation practices. • Validate AI-generated findings for accuracy, relevance, bias, and appropriate clinical or business context. • Ensure human judgment remains accountable for final analytical conclusions. • Partner with clinical subject matter experts when findings require additional clinical interpretation. • Partner with Technology and Data Engineering to evaluate AI capabilities and determine how they can be incorporated into governed analytical workflows. • Bachelor’s degree in Analytics, Statistics, Information Systems, Healthcare Administration, Health Informatics, Public Health, or a relevant clinical discipline such as 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. Candidates with a clinical background should also have demonstrated experience using data to evaluate care delivery, patient outcomes, program performance, or other 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 the 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, with an understanding of how to validate outputs and appropriately manage the risks and limitations of AI-generated analysis. • Strong communication, prioritization, facilitation, and stakeholder partnership skills. • Understanding of healthcare privacy, security, compliance, and appropriate handling of PHI.