Principal Data Analyst – Product Optimization, Healthcare Revenue Cycle

🕒 Setembro 23

🇺🇸 Estados Unidos – Remoto (EUA)

⏰ Tempo Integral

🔴 Especialista

📉 Analista de Dados

👻 Score fantasma 15%

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FinThrive

SiteLinkedInTodas as Vagas

1001 - 5000 funcionários

🏥 Saúde

☁️ SaaS

🤖 Inteligência Artificial

💰 $1.000.000 Series A em 2010-02

Healthcare • SaaS • Artificial Intelligence

A FinThrive é uma empresa de tecnologia de gestão de ciclo de receita em saúde que oferece soluções baseadas em inteligência artificial e dados inteligentes para hospitais, sistemas de saúde, práticas ambulatoriais e de médicos, pagadores e organizações de ciências da vida. Sua plataforma FinThrive Fusion unifica dados isolados do ciclo de receita para permitir análises preditivas, fluxos de trabalho com IA agente e inteligência operacional. As ofertas de produtos incluem acesso do paciente, integridade de receita (captura de cobranças e compliance), otimização de receita (reclamações, prevenção de negações, precisão de pagamentos), análises empresariais e conteúdos de aprendizado projetados para melhorar o fluxo de caixa, reduzir negações e agilizar operações de receita. A FinThrive se posiciona como uma provedora de SaaS que entrega capacidades de IA e automação para melhorar o desempenho financeiro e a eficiência operacional ao longo do ciclo de receita em saúde.

Descrição

• Develop and maintain subject matter expertise in FinThrive’s Insurance Discover product, including its lifecycle, workflows, eligibility and coverage discovery logic, data ingestion, matching behavior, operational processes, and customer value chain • Analyze large healthcare revenue cycle datasets to identify trends, gaps, anomalies, failure patterns, data quality issues, and opportunities to improve product accuracy, performance, scalability, and customer impact • Use advanced SQL and big-data tooling such as Databricks to query, structure, profile, and interpret high-volume datasets • Apply descriptive, diagnostic, and basic statistical techniques to assess product performance, validate hypotheses, measure impact, and distinguish signal from noise • Leverage AI-assisted analytics, automation, and emerging AI capabilities for pattern detection, anomaly identification, root-cause exploration, documentation, and insight generation • Build metrics, dashboards, scorecards, and analytical frameworks measuring product enhancements, operational optimizations, and customer outcomes • Translate technical analysis into recommendations, business cases, decision support, and executive-ready narratives • Partner with Product Management, Technology, Operations, Finance, Sales, customer-facing teams, and leadership to prioritize improvements, define success measures, support implementation, and monitor outcomes • Support initiatives involving data integrity, coverage discovery performance, integration workflows, reporting accuracy, process optimization, and product stabilization or enhancement • Challenge assumptions, frame ambiguous problems, and structure complex data questions in a fast-paced, matrixed environment • Demonstrate integrity and ethics and follow FinThrive’s core values • Support FinThrive’s Compliance Program through required policies, training, reporting, and confidentiality practices

🎯 Requisitos

• Bachelor’s degree in Statistics, Data Science, Information Systems, Computer Science, Mathematics, Economics, Engineering, Healthcare Informatics, or another quantitative / technical field; advanced degree preferred but not required • 6+ years of experience in data analytics, product analytics, business analytics, healthcare analytics, revenue cycle analytics, or a related analytical role • Healthcare revenue cycle experience, ideally with exposure to eligibility, coverage discovery, claims, denials, patient access, payer data, provider workflows, or healthcare data exchange • Advanced SQL skills, including complex joins, CTEs, window functions, aggregation logic, data validation, performance-aware querying, and analysis across large, messy datasets • Hands-on experience with big-data environments or cloud data platforms such as Databricks, Snowflake, Azure Data Lake, Synapse, Spark, or comparable tools • Strong statistical and analytical foundation, including cohort analysis, segmentation, variance analysis, trend analysis, outlier detection, correlation, sampling, confidence-based reasoning, or experiment / impact measurement • Technical fluency with data pipelines, data models, data quality concepts, APIs / data exchange patterns, and operational healthcare data • Experience using AI-enabled tools or analytics approaches; comfort experimenting with responsible AI use cases • Proficiency in Tableau, Power BI, SSRS, Excel, or similar data visualization and storytelling tools • Ability to communicate complex findings to technical and non-technical stakeholders • Strong problem-solving, critical thinking, prioritization, and project management skills • Ability to drive multiple initiatives with minimal supervision in a collaborative, matrixed environment • Preferred: product optimization or product operations experience in healthcare technology • Preferred: payer / provider data, EHR or practice management workflows, eligibility transactions, insurance discovery, coverage verification, or revenue recovery knowledge • Preferred: practical Python or PySpark experience • Preferred: analytical QA checks, data reconciliation logic, exception reporting, or monitoring frameworks • Preferred: machine learning concepts, predictive analytics, or experimentation frameworks • Must adhere to FinThrive policies concerning HIPAA, FCRA, GLBA, and other applicable laws • Must handle patient information in a HIPAA-compliant manner and understand confidentiality obligations

🏖️ Benefícios

• FinThrive states that it continually enhances the colleague experience by seeking new perks and benefits; specific current offerings are directed to finthrive.com/careers-benefits • Self-development and continuous feedback and learning opportunities • Reasonable accommodations may be made to enable individuals with disabilities to perform essential functions • Equal Opportunity Employer