Senior Healthcare Data Analyst

About the Opportunity
The Senior Healthcare Data Analyst is a full-time, senior individual contributor responsible for clinical, outcomes, and program analytics across the organization. Based in the United States, this role partners with clinical, operational, and executive leaders to turn complex questions into clear, meaningful insights.
The position requires an understanding of behavioral health care delivery across the patient journey, including referral, intake, admission, treatment, utilization, outcomes, and discharge. Additionally, this role helps advance AI-enabled analytical methods within the data analysis function, utilizing AI to enhance analytical speed, depth, and efficiency while establishing repeatable processes, independently validating outputs, and ensuring clinical and human oversight.
Key Responsibilities
Analyze access, conversion, census, capacity, utilization, length of stay, patient engagement, clinical outcomes, and program performance.
Develop an understanding of behavioral health care delivery, including intake, treatment planning, group, individual, and family therapy, psychiatry, documentation, authorization, outcomes, and discharge.
Partner with clinical and operational leaders to translate clinical workflows and complex operational questions into meaningful analyses, recommendations, and actionable insights.
Ensure analytical findings reflect actual care delivery workflows and are interpreted within appropriate clinical and operational contexts.
Identify trends, patterns, risks, and opportunities to improve care delivery, patient experience, and program performance.
Partner with clinical and research leaders to define research questions, outcome 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 evaluations, presentations, abstracts, and publications.
Conduct and interpret analyses evaluating patient outcomes, treatment and program effectiveness, and differences across populations, programs, or levels of care.
Translate findings into publication-ready tables, visualizations, summaries, and presentation materials, supporting analytical review through final publication.
Ensure research and publication data and analyses comply with organizational privacy, governance, compliance, and data-use standards.
Serve as an analytics partner to clinical, operational, and executive leadership, establishing and maintaining trusted metric definitions, documentation, analytical standards, and best practices.
Partner with Data Engineering and other analysts to maintain consistent definitions, reliable data, scalable solutions, and standardized dashboards or reporting workflows.
Identify opportunities to improve analytical methods, tools, workflows, and organizational data use while mentoring other analysts.
Apply and advance AI-enabled analytical methods to improve the speed, depth, quality, and efficiency of analytical workflows.
Use AI tools to accelerate data exploration, analytical development, synthesis, and quality review, establishing repeatable prompts, workflows, and standards.
Independently validate AI-generated outputs for accuracy, relevance, bias, and context, maintaining human accountability for all final analytical conclusions.
Collaborate with clinical subject matter experts and technology teams to evaluate AI capabilities and integrate them into governed analytical workflows.
Required Qualifications
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, or Nursing), or equivalent relevant experience.
5+ years of experience in analytics, healthcare analytics, business intelligence, or related analytical work. Candidates with a clinical background must 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 metrics, including access, utilization, quality, outcomes, or program effectiveness.
Experience with modern analytics and business intelligence platforms, such as Power BI.
Strong analytical skills with the ability to independently investigate complex clinical and operational questions.
Demonstrated 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 manage the risks and limitations of AI-generated analysis.
Strong communication, prioritization, facilitation, and stakeholder partnership skills.
Understanding of healthcare privacy, security, compliance, and the proper handling of protected health information (PHI).
Preferred Qualifications
Experience in behavioral health, intensive outpatient programs (IOP), partial hospitalization programs (PHP), outpatient mental health, substance use treatment, or similar clinical environments.
Familiarity with behavioral health workflows, including intake, treatment planning, therapy, psychiatry, documentation, utilization management, outcomes measurement, and discharge.
Experience with clinical outcomes, program evaluation, or research-related analytics.
Experience working with electronic health records (EHR/EMR) and healthcare operational systems.
Experience incorporating AI-assisted methods into analytical workflows or working with modern cloud data and analytics platforms, such as Microsoft Fabric.
Compensation and Benefits
The expected salary range for this role is $95,000—$112,000 USD per year. Individual compensation within this range is determined by factors including years of experience, type of experience, work location, education, and relevant certifications.
Eligible positions have access to a competitive benefits package, including:
Health coverage, including medical, dental, and vision plans
Retirement savings plan with company match
Paid time off
Parental leave
Professional development and continuous training opportunities

Work arrangement
Yes