Healthcare Data Analyst

The Healthcare Data Analyst, Quality and Compliance transforms clinical, quality, operational, and compliance data into actionable insights that support organizational performance, regulatory readiness, and strategic decision-making. Reporting directly to the Chief Compliance and Quality Officer, this role serves as the primary analytics resource for Quality Assurance and Performance Improvement (QAPI), compliance monitoring, regulatory reporting, and survey readiness activities across all service lines.
The analyst leads data collection, validation, analysis, and reporting for CMS quality programs and other key performance measures, ensuring the accuracy, integrity, and reliability of organizational data. This role leverages modern data platforms and approved AI tools to enhance reporting capabilities through automation, trend analysis, predictive modeling, and process improvement.
In partnership with executive, operational, and clinical leaders, the analyst develops dashboards, scorecards, performance reports, and actionable insights that support quality outcomes, compliance oversight, performance improvement, and informed decision-making.
Position Details

Work Location: Alivia Care/Community Hospice and Palliative Care non-profit headquarters 4266 Sunbeam Road, Jacksonville FL. No work from home at this time
Days/Hours: Monday - Friday 8:0am to 5:00pm
Compensation $90,000+ commensurate with experience; plus full benefits package including 23 days annual PTO

Job Responsibilities

Partner with clinical and compliance leaders to define, calculate, and maintain certified quality and compliance KPIs, with documented definitions, data sources, and calculation logic in the enterprise KPI registry.
Monitor quality indicators, clinical outcomes, and performance trends across hospice, home health, palliative care, and PACE; identify variation by team, setting, and market and explain root causes.
Partner with Quality and Compliance to analyze CAHPS data, including response trends, patient feedback themes, and demographic patterns, and support quality improvement initiatives through detailed reporting and data analysis.
Partner with BI Engineers and other technical resources to build and maintain automated quality dashboards and scorecards, replacing manual data pulls and static spreadsheets.
Perform conversion validation and reconciliation testing for the Databricks platform and EMR transitions; document defects and confirm converted data matches source systems and certified definitions.
Provide baseline data, statistical process control, and results tracking for performance improvement projects (PIPs) and QAPI.
Develop predictive and early-warning analytics with clinical leaders, such as live discharge risk, length-of-stay outliers, and CAHPS decline.
Use approved AI tools (for example, Claude, Microsoft Copilot, and Databricks Genie) to speed analysis, comment coding, documentation, and report drafting; verify all AI output against source data before use.
Follow Alivia Care AI governance, HIPAA, and data privacy standards; use only approved tools with protected health information; and submit new AI use cases for governance review.
Identify manual quality and compliance processes that can be automated or AI-assisted and collaborate with operational, technology, and analytics partners to prioritize and implement solutions.
Provide data and analysis to support survey readiness, accreditation reviews, and compliance audits at the request of the Chief Compliance Officer.
Prepare and present executive, committee, and Board-level reports that translate complex quality and compliance data into meaningful, actionable information.
Develop executive-level dashboards, scorecards, and analytical summaries that support strategic decision-making, regulatory readiness, and performance improvement initiatives.
Serve as the data resource for quality committees, the Hospice Experience Committee, and interdisciplinary meetings.
Train clinical and quality staff to read dashboards and use data in improvement work.
Other duties as assigned.

Knowledge and Critical Skills

Data and Technology

Proficiency in SQL and advanced Excel, including Power Query and pivot tables.
Proficiency in Power BI or a comparable BI tool, including data modeling and basic DAX.
Working knowledge of Python or R for data analysis (preferred).
Familiarity with cloud data platforms such as Databricks.
Knowledge of data quality practices: validation, reconciliation, data lineage, and documentation.
Applied statistics, including rates, basic risk adjustment, significance testing, and statistical process control.

AI Literacy and Governance

Understands how generative AI and predictive models work, including their limits and common failure modes such as inaccurate output and bias.
Writes effective prompts and verifies AI output against source data before sharing results.
Knows responsible AI use in healthcare, including HIPAA, protected health information handling, and Alivia Care AI governance policy.

Healthcare Quality

Knowledge of CMS hospice and home health quality programs and of survey and accreditation standards.
Experience with external platforms such as HealthPivots, NPHI, Care Compare, iQIES, and RAND.
Ability to translate clinical and operational data into clear findings and recommendations for executives.
Detail oriented, with excellent written and verbal communication skills.

SKILLED AT:

Demonstrates initiative, self-motivation, and the ability to complete multiple tasks in a timely and accurate manner.
Learns new tools quickly and adapts as technology and AI capabilities change.
Works effectively in a matrix, building partnerships with clinical, compliance, finance, and IT colleagues.
Explains technical results clearly to nontechnical audiences.
Excellent accountability and problem-solving skills.

Education, Licenses and Certifications

Bachelor's degree in health informatics, healthcare administration, statistics, data analytics, nursing, public health, or related field (required), Master's degree or relevant certification such as CPHQ, CHDA, Microsoft Power BI Data Analyst, or Databricks (preferred)
Certification such as CPHQ, CHDA, Microsoft Power BI Data Analyst, or Databricks (preferred)

Experience

3 to 5 years of healthcare data analysis experience, including quality measurement or clinical outcomes reporting
Hospice or home health experience is strongly preferred, including HOPE, CAHPS Hospice, or OASIS
Demonstrated experience writing SQL and building dashboards in Power BI or a comparable BI tool
Experience validating data during an EMR or data platform conversion (preferred)