Healthcare Data Analyst

Community Hospice & Palliative Care•Jacksonville, FL

5d•Onsite

About The Position

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 is the primary analytics resource for Quality Assurance and Performance Improvement (QAPI), compliance monitoring, regulatory reporting, and survey readiness across all service lines. The analyst leads data collection, validation, analysis, and reporting for CMS quality programs and other key performance measures, ensuring data accuracy, integrity, and reliability. The role uses modern data platforms and approved AI tools to enhance reporting 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. This is an onsite position at the Alivia Care/Community Hospice and Palliative Care nonprofit headquarters at 4266 Sunbeam Road, Jacksonville, Florida. The schedule is Monday through Friday, 8:00 a.m. to 5:00 p.m.; work from home is not available at this time. Compensation is $90,000 or more, commensurate with experience, plus a full benefits package including 23 days of annual PTO.

Requirements

Bachelor's degree in health informatics, healthcare administration, statistics, data analytics, nursing, public health, or a related field.
Three to five years of healthcare data analysis experience, including quality measurement or clinical outcomes reporting.
Demonstrated experience writing SQL and building dashboards in Power BI or a comparable BI tool.
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.
Knowledge of data quality practices, including validation, reconciliation, data lineage, and documentation.
Knowledge of applied statistics, including rates, basic risk adjustment, significance testing, and statistical process control.
Understanding of generative AI and predictive models, their limitations, and common failure modes such as inaccurate output and bias.
Ability to write effective prompts and verify AI output against source data before sharing results.
Knowledge of responsible AI use in healthcare, including HIPAA, protected health information handling, and Alivia Care AI governance policy.
Knowledge of CMS hospice and home health quality programs and survey and accreditation standards.
Ability to translate clinical and operational data into clear findings and recommendations for executives.
Detail oriented, with excellent written and verbal communication skills.
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 and builds partnerships with clinical, compliance, finance, and IT colleagues.
Explains technical results clearly to nontechnical audiences.
Demonstrates accountability and problem-solving skills.

Nice To Haves

Master's degree.
Relevant certification such as CPHQ, CHDA, Microsoft Power BI Data Analyst, or Databricks.
Working knowledge of Python or R for data analysis.
Familiarity with cloud data platforms such as Databricks.
Experience with external platforms such as HealthPivots, NPHI, Care Compare, iQIES, and RAND.
Hospice or home health experience, including HOPE, CAHPS Hospice, or OASIS.
Experience validating data during an EMR or data platform conversion.

Responsibilities

Partner with clinical and compliance leaders to define, calculate, and maintain certified quality and compliance KPIs, documenting 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.
Analyze CAHPS data, including response trends, patient feedback themes, and demographic patterns, and support quality improvement initiatives through reporting and 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 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 to accelerate analysis, comment coding, documentation, and report drafting; verify 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 could be automated or AI-assisted and collaborate with operational, technology, and analytics partners to prioritize and implement solutions.
Provide data and analysis for 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.
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.
Perform other duties as assigned.