Senior Quality Data Analyst

About the Role

The Senior Quality Data Analyst supports quality, safety, patient experience, regulatory, equity, and strategic performance analytics across the health system. This role leverages software applications to design advanced reporting and analytic solutions, develops predictive and analytic solutions, performs detailed data mapping and analysis, and translates complex data into actionable insights for operational, financial, and strategic decision-making.

The Senior Quality Data Analyst serves as a primary analytic point of contact and analytics consultant for assigned quality and operational areas, working as a strategic business partner with leaders and teams to produce data that assists in key decision-making, quality improvement, regulatory readiness, and enhanced patient outcomes. The role leads enterprise-level analytic initiatives, coordinates complex cross-functional projects, and provides subject matter expertise in quality measurement, regulatory reporting, and performance analytics.

Responsibilities

• Manages multiple complex data projects related to quality, safety, patient experience, regulatory performance, health equity, and internal system goals.
• Leads enterprise-level analytic initiatives spanning multiple hospitals, departments, and business functions, coordinating complex workstreams and balancing competing organizational priorities.
• Serves as a primary analytics consultant for assigned business units, departments, committees, or enterprise-wide quality initiatives by defining analytic requirements, interpreting findings, and recommending data-driven actions.
• Works collaboratively with operational, clinical, administrative, and executive leaders to translate business needs and strategic objectives into analytic solutions, performance measures, and actionable insights.
• Provides subject matter expertise for quality measurement methodologies, regulatory reporting programs, public reporting, value-based purchasing, and performance improvement initiatives.
• Designs, develops, maintains, and enhances reporting and analysis tools, including dashboards, scorecards, data visualizations, recurring reports, and ad hoc analyses.
• Creates reports and dashboards that track multidimensional performance against system, regional, hospital, department, service line, regulatory, and quality improvement goals.
• Develops predictive models, scenario analyses, and forecasting tools to estimate organizational performance under value-based purchasing, regulatory, contractual, reimbursement, and public reporting programs.
• Leverages software applications to design solutions, perform complex data mapping and analysis, and generate business, clinical, regulatory, and quality intelligence.
• Extracts, integrates, and analyzes data from multiple internal and external sources; audits data, investigates discrepancies, and resolves data quality concerns.
• Ensures the integrity, quality, and standardization of data to meet operational requirements, reporting standards, regulatory specifications, and organizational goals.
• Translates business needs and reporting requirements into technical specifications, metric definitions, analytic methods, and report production processes.
• Develops and maintains documentation of analytic methods, metric development, dashboard logic, data dictionaries, and report production processes.
• Collaborates with Information Systems, Data Governance, Quality, Patient Safety, Regulatory, Patient Experience, Performance Improvement, clinical leaders, and operational teams to optimize reporting applications and analytics solutions.
• Oversees routine and ad hoc dissemination of key information to stakeholders, including weekly, monthly, quarterly, executive, governance, regulatory, and operational reporting.
• Provides analytic expertise and guidance to stakeholders and may serve as a team leader for projects or work groups.
• Mentors analysts and serves as a technical resource for advanced analytic methodologies, reporting standards, data visualization best practices, and quality measurement.
• Leads analytic support for enterprise regulatory reporting and value-based performance programs (e.g., CMS, Joint Commission, Leapfrog, NHSN, HEDIS, AHRQ, patient experience).
• Coordinates enterprise reporting calendars, regulatory submission timelines, validation/audit activities, and reporting dependencies.
• Monitors regulatory updates and evolving measurement specifications, assesses organizational impact, and recommends reporting, analytic, and operational strategies.
• Partners with clinical, operational, and technical teams to evaluate, implement, and optimize artificial intelligence (AI), large language model (LLM), and automation solutions.
• Serves as a quality and safety subject matter expert to support development, validation, and governance of AI-enabled analytic tools.

Requirements

• Bachelor’s degree required in Computer Science, Mathematics, Allied Health, Public Health, Health Informatics, Healthcare Administration, Data Analytics, Information Systems, or a related field.
• Master’s degree in Public Health, Epidemiology, Biostatistics, Health Informatics, Healthcare Administration, Data Analytics, or equivalent preferred.
• Five to eight years of related work experience required.
• Strong experience in data management, report writing, analytics, visualization, dashboard creation, and interpretation of large data sets.
• Experience using multiple data sources, hospital systems, relational databases, business intelligence tools, or reporting applications.
• Experience with quality, safety, regulatory, patient experience, population health, or performance improvement data preferred.
• Experience with predictive modeling, machine learning technologies, or advanced analytic methods preferred.

Skills

• Advanced proficiency with data analysis, reporting, and visualization tools such as SQL, Power BI, Tableau, Excel, Epic SlicerDicer, SAS, R, Python, or similar tools.
• Ability to translate business needs and stakeholder questions into technical specifications, analytic plans, dashboards, reports, and actionable insights.
• Strong understanding of healthcare quality, safety, patient experience, regulatory, and performance measurement programs.
• Ability to validate data, troubleshoot discrepancies, and ensure accuracy and consistency of reporting.
• Strong data storytelling skills, including the ability to display key results through effective visualizations and concise interpretation.
• Ability to manage multiple complex projects simultaneously and complete analytic work in a timely and efficient manner.
• Strong collaboration skills and ability to build effective working relationships across departments and disciplines.
• Commitment to health equity, transparency, continuous improvement, and data-driven decision-making.

Qualifications

CPHQ, Lean Six Sigma, Epic, Microsoft Power BI, Tableau, SQL, data analytics, healthcare quality, or related certification preferred.