The Data Analyst is embedded within PAA's operations organization to bring analytical rigor to how our clients are performing on the Anna™ platform and what's actually driving the trends we see. You'll work day-to-day alongside Client Success and the broader Operations team - those accountable for delivering on our clients' contractual goals - turning large and varied datasets into the answers those teams need to act on. Your work spans macro and micro. On any given day you might be building a book-of-business performance view for a Quarterly Business Review (QBR), unpacking why a specific client's utilization trend shifted last quarter, or surfacing network expansion opportunities from referral flow patterns across post-acute providers. You'll be the person the operational leaders come to when they need to understand what the data is saying - and, over time, the person who sees the pattern first. This role reports into Operations but has matrixed support from the VP, Engineering & Analytics - pairing the operational context that makes your work actionable with the analytical mentorship and standards to keep sharpening your craft.
Client Performance Analytics
• Analyze how each client is performing against contractual goals, KPIs, and operational benchmarks on the Anna™ platform
• Build and maintain reporting views that give Client Success leaders and account owners a clear, current picture of book-of-business health
• Surface leading indicators of client risk or opportunity before they become escalations
• Support QBR, executive review, and internal client success planning cycles with reliable, decision-ready analytics
Trend & Root Cause Analysis
• Investigate the drivers behind client performance trends - utilization shifts, workflow changes, provider network dynamics, seasonality, product usage patterns
• Move from "what happened" to "why" using cohort analysis, comparative benchmarking, and appropriate statistical methods
• Translate findings into clear narratives - charts, memos, briefings - that operational leaders and clients can act on without a translator
Network & Opportunity Analytics
• Support broader Operations with data-driven insight into provider network coverage, capacity, and integration health across the SNF, home health, and broader post-acute footprint
• Identify macro-level opportunities (market gaps, network expansion priorities, integration friction patterns) and micro-level opportunities (specific facility outliers, workflow bottlenecks, data quality issues)
Data Craft & Practice
• Work with large, varied, and sometimes messy datasets - Anna platform data, claims, EHR/EMR extracts, client-provided files - and bring rigor to how they're structured, joined, validated, and interpreted
• Build reusable data assets (queries, models, dashboards, notebooks) that scale beyond a single analysis and outlast a single request
• Partner with the VP, Analytics on analytical standards, methods, documentation, and reusable frameworks; contribute back to the broader analytics function
Requirements
• 3-5 years of hands-on data analyst experience with proven fluency working across large and varied datasets
• Strong background / experience with SQL. Writing complex queries against large relational datasets comfortably, including joins, window functions, CTEs, and performance-aware patterns
• Working proficiency in Python or R for analysis (ex. Pandas, Jupyter notebooks, basic statistical methods)
• Data visualization capability in Tableau, Power BI, Looker, or comparable. Building views to inform executive decision-making
• Solid grasp of analytical fundamentals: cohorting, benchmarking, distributions, basic statistical inference; enough judgment to know when to reach for what • Advanced Excel for ad hoc work and executive-facing summaries
• Ability to translate messy operational questions into clean analytical problems, and analytical output into clear narratives non-analysts can act on
• Bachelor's degree in a quantitative or analytical discipline (data science, statistics, economics, mathematics, engineering, public health, informatics, or comparable)
Preferred
• Experience with healthcare data - claims, EHR/EMR data, HL7/FHIR standards, or utilization and case management data
• Familiarity with post-acute care, managed care, Medicare Advantage, or value-based care contexts
• Prior experience embedded within an operational or client-facing team, not only centralized analytics or BI
• Working familiarity with clinical outcomes concepts - readmissions, LOS, ED utilization, total cost of care
Compensation - Competitive base salary, annual performance bonus, and equity participation commensurate with experience. Benefits - Comprehensive medical, dental, and vision. 401(k) with employer match. Effective the 1st of the month after start date.
Flexibility - Remote or hybrid. Flexible PTO. 10 paid holidays. Frequent team offsites.
Growth - Matrixed mentorship from the VP, Analytics, direct exposure to operational leadership, a learning & development budget, and real influence on how PAA uses data.
