Senior Analytics Engineer, Clinical Quality – Outcomes

This is a fully remote position, open to applicants in United States.

📋 Description

• Assist the Chief Medical Officer's organization in enhancing clinical quality, patient safety, outcomes measurement, and clinical research analytics capabilities.

• Convert intricate clinical data into reliable, governed, and actionable insights.

• Create, develop, and sustain SQL-based transformations that turn EHR and clinical source data into datasets ready for analysis.

• Collaborate with clinical, operational, and executive leaders to outline analytic requirements, data models, and dashboard experiences.

• Aid clinical quality, outcomes measurement, patient safety, regulatory readiness, and research reporting initiatives.

• Explore opportunities to implement analytic AI-driven quality monitoring and contemporary healthcare data platforms.

• Work across analytics functions to ensure uniform practices and reporting.

• Uphold data quality controls, validation processes, lineage documentation, and metric governance.

• Develop testing and reconciliation frameworks to pinpoint reporting discrepancies.

• Guarantee consistent metric definitions and calculations across various reporting environments.

• Implement healthcare data security, privacy, de-identification, and minimum-necessary use principles.

• Resolve clinical data quality issues through exploratory analysis and validation.

• Document data models, pipeline logic, and dashboard definitions.

• Partner with data engineering, analytics engineering, and data analyst teams on architecture and governance.

• Lead user-focused dashboard design for clinicians, medical leaders, operations leaders, and executives.

• Create executive, board, regulatory, and clinician-facing reporting solutions.

• Construct and maintain research-grade datasets for outcomes studies, publications, payer reporting, and real-world evidence.

• Operationalize outcomes measures, patient-reported outcomes, and quality indicators into rigorous datasets.

• Design and sustain analytics models, data marts, and reporting layers utilizing AWS Redshift, Snowflake, and modern cloud architecture.

• Develop and enhance SQL transformations for clinical quality, patient safety, outcomes, and research reporting.

• Utilize dbt, automated testing, version control, documentation, and CI/CD methodologies.

• Align clinical analytics solutions with enterprise architecture and future-state platform strategy.

⛳️ Requirements

• Bachelor’s degree in Data Science, Statistics, Computer Science, Informatics, Engineering, Public Health, or a closely related discipline.

• Over 7 years of experience in healthcare analytics, analytics engineering, business intelligence, data science, or related fields.

• More than 5 years of experience collaborating directly with clinical subject matter experts and executive stakeholders to define, refine, and implement complex measures.

• Proven experience in designing enterprise reporting solutions that support executive, operational, clinical, and regulatory decision-making.

• Advanced SQL proficiency in building scalable analytic datasets and reporting environments.

• Over 5 years of experience developing Power BI or equivalent business intelligence solutions.

• Strong background with Snowflake and modern cloud-based data platforms.

• Experience in establishing data quality testing, metric validation frameworks, and governance strategies.

• Ability to translate stakeholder requirements into usable and impactful dashboard experiences.

• Strong knowledge of healthcare data structures, electronic health record systems, clinical workflows, and quality metrics.

• Legally authorized to work in the United States.

• Familiarity with healthcare analytics, clinical workflows, and quality metrics.

• Preferred: Experience in supporting behavioral health analytics, patient safety programs, measurement-based care, quality improvement, or regulatory reporting initiatives.

• Preferred: Experience in developing datasets for peer-reviewed publications, clinical research, outcomes research, or real-world evidence generation.

• Preferred: Experience with dbt, Git, automated testing frameworks, semantic modeling, and modern analytics engineering practices.

• Preferred: Experience with PHQ-9, GAD-7, safety planning, suicidality measures, HEDIS, CMS metrics, accreditation standards, or quality reporting programs.

• Preferred: Experience in creating executive-level scorecards and board-facing dashboards.

• Preferred: Master’s degree or higher in Public Health, Data Science, Biostatistics, Informatics, Health Services Research, or a related field.

• Capability to meet specified physical requirements, including sitting, standing, bending, walking, talking, hearing, and lifting or moving objects up to 25 pounds.

🏝️ Benefits

• Medical insurance

• Dental insurance

• Vision insurance

• AD&D insurance

• Short-term disability insurance

• Long-term disability insurance

• Life insurance

• 401k retirement savings with employer match

• Paid parental leave

• Paid time off

• Holiday pay

• Employee Assistance Program

• Competitive bonus plan