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Post Acute Analytics
Post Acute Analytics
51 – 200 Employees
B2BHealthcareSaaS
Post Acute Analytics is a healthcare technology company that helps health systems manage patients across the transition from acute care to post-acute services. Its cloud-based Continuum of Care Suite™ combines automated data capture, connections with acute and post-acute electronic medical records, predictive analytics, patient tracking, off-track alerts, and care-pathway creation. The platform, powered by Anna™, is designed to support utilization and care management for value-based arrangements such as bundled payments, accountable care organizations, and Medicare Advantage. Post Acute Analytics also provides clinical consulting, with a focus on improving visibility across care journeys, reducing avoidable readmissions, controlling total cost of care, and strengthening in-network utilization.
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Data Analyst – Texas (Remote)

Analyze healthcare platform, claims, and EHR data to produce performance insights for post-acute care clients. Support operational decision-making, quarterly business reviews, and provider network growth.

USUnited StatesTXTexasRemoteFull-timeMiddleSeniorEnglish RequiredData Analyst
PandasPythonSQLTableau

Description

  • Assess client performance against contractual objectives, KPIs, and operational benchmarks in the Anna platform.
  • Create and maintain reporting views for Client Success leaders and account owners.
  • Identify early signals of client risk and growth opportunities.
  • Prepare decision-ready analytics for quarterly business reviews, executive meetings, and client success planning.
  • Examine utilization changes, workflow shifts, provider network dynamics, seasonality, and product usage patterns.
  • Apply cohort analysis, comparative benchmarking, and statistical techniques to explain observed trends.
  • Present findings through charts, written analyses, and executive briefings.
  • Analyze provider network coverage, capacity, and integration health across post-acute care.
  • Flag market gaps, network expansion priorities, integration friction, facility outliers, workflow constraints, and data quality problems.
  • Organize, combine, validate, and interpret large datasets from Anna, claims, EHR/EMR extracts, and client files.
  • Develop reusable queries, analytical models, dashboards, and notebooks.
  • Collaborate with the VP, Analytics on analytical standards, methodologies, documentation, and reusable frameworks.

Requirements

  • Three to five years of hands-on data analyst experience working confidently with large, varied datasets.
  • Strong SQL skills, including joins, window functions, common table expressions, and performance-conscious query patterns.
  • Working proficiency in Python or R for analysis, including Pandas, Jupyter notebooks, and basic statistical methods.
  • Experience creating visualizations in Tableau, Power BI, Looker, or a comparable tool.
  • Sound understanding of cohorting, benchmarking, distributions, and basic statistical inference.
  • Advanced Excel skills.
  • Ability to turn operational questions into analytical approaches and communicate results as clear narratives.
  • Bachelor’s degree in a quantitative or analytical field.
  • Preferred: experience working with healthcare data, claims, EHR/EMR data, HL7/FHIR standards, utilization data, or case management data.
  • Preferred: familiarity with post-acute care, managed care, Medicare Advantage, or value-based care.
  • Preferred: experience working within an operational or client-facing team.
  • Preferred: familiarity with clinical outcomes measures such as readmissions, length of stay, emergency department utilization, and total cost of care.

Benefits

  • Annual performance bonus.
  • Equity participation based on experience.
  • Comprehensive medical, dental, and vision coverage.
  • 401(k) plan with employer match.
  • Remote or hybrid work flexibility.
  • Flexible paid time off.
  • Ten paid holidays.
  • Regular team offsites.
  • Matrixed mentorship from the VP, Analytics.
  • Direct exposure to operational leadership.
  • Learning and development budget.
  • Meaningful influence over how Post Acute Analytics uses data.

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