Data Analyst

Post Acute Analytics

. Analyze client performance against contractual goals, KPIs, and operational benchmarks on the Anna™ platform .

Posted 10/2/2026full-timeRemote • Texas • United StatesMid-LevelSeniorWebsite

Core Competencies

Role fit

Core Competencies

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Demonstrates expertise in data analysis, utilizing SQL, Python or R, and data visualization tools to derive insights from large datasets. Proficient in translating complex analytical findings into actionable narratives for client success and operational improvement.

Highest-signal resume keywords

SQL ProficiencyData Visualization in TableauStatistical Analysis with Python or RCohort Analysis and BenchmarkingHealthcare Data Familiarity

ATS Keywords

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Applicant Tracking System Keywords

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Hard Skills

Data AnalysisSQLPythonRData VisualizationAdvanced ExcelStatistical MethodsCohort AnalysisBenchmarkingData Interpretation

Soft Skills

Analytical Problem SolvingClear Communication

Tools & Technologies

TableauPower BILookerJupyter Notebooks

Industry Keywords

Healthcare DataEHR/EMRHL7/FHIR StandardsPost-Acute CareManaged CareMedicare AdvantageValue-Based Care

Tech Stack

Tools & technologies

PandasPythonSQLTableau

About the role

Key responsibilities & impact

Analyze client performance against contractual goals, KPIs, and operational benchmarks on the Anna™ platform
Build and maintain reporting views for Client Success leaders and account owners
Surface leading indicators of client risk or opportunity
Support QBRs, executive reviews, and internal client success planning with decision-ready analytics
Investigate drivers behind utilization shifts, workflow changes, provider network dynamics, seasonality, and product usage patterns
Use cohort analysis, comparative benchmarking, and statistical methods to determine why trends occurred
Translate findings into charts, memos, and briefings
Provide insights into provider network coverage, capacity, and integration health across post-acute care
Identify market gaps, network expansion priorities, integration friction patterns, facility outliers, workflow bottlenecks, and data quality issues
Structure, join, validate, and interpret large datasets from the Anna platform, claims, EHR/EMR extracts, and client-provided files
Build reusable queries, models, dashboards, and notebooks
Partner with the VP, Analytics on analytical standards, methods, documentation, and reusable frameworks

Requirements

What you’ll need

3–5 years of hands-on data analyst experience with proven fluency working across large and varied datasets
Strong background / experience with SQL, including joins, window functions, CTEs, and performance-aware patterns
Working proficiency in Python or R for analysis, including Pandas, Jupyter notebooks, and basic statistical methods
Data visualization capability in Tableau, Power BI, Looker, or comparable
Solid grasp of analytical fundamentals: cohorting, benchmarking, distributions, and basic statistical inference
Advanced Excel
Ability to translate operational questions into analytical problems and analytical output into clear narratives
Bachelor's degree in a quantitative or analytical discipline
Preferred: experience with healthcare data, claims, EHR/EMR data, HL7/FHIR standards, utilization and case management data
Preferred: familiarity with post-acute care, managed care, Medicare Advantage, or value-based care
Preferred: prior experience embedded within an operational or client-facing team
Preferred: working familiarity with clinical outcomes concepts such as readmissions, LOS, ED utilization, and total cost of care

Benefits

Comp & perks

Annual performance bonus
Equity participation commensurate with experience
Comprehensive medical, dental, and vision
401(k) with employer match
Remote or hybrid work flexibility
Flexible PTO
10 paid holidays
Frequent team offsites
Matrixed mentorship from the VP, Analytics
Direct exposure to operational leadership
Learning & development budget
Real influence on how PAA uses data