Principal Data Analyst – Product Optimization, Healthcare Revenue Cycle

🔥 9 minutes ago

🇺🇸 United States – Remote

⏰ Full Time

🔴 Lead

📉 Data Analyst

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FinThrive

WebsiteLinkedInAll Job Openings

1001 - 5000 employees

🏥 Healthcare

☁️ SaaS

🤖 Artificial Intelligence

💰 $1M Series A on 2010-02

Healthcare • SaaS • Artificial Intelligence

FinThrive is a healthcare revenue cycle management (RCM) technology company that provides AI-powered, data-intelligence solutions to hospitals, health systems, ambulatory and physician practices, payers and life sciences organizations. Its FinThrive Fusion platform unifies siloed revenue-cycle data to enable predictive analytics, agentic AI workflows, and operational intelligence. Product offerings include patient access, revenue integrity (charge capture and compliance), revenue optimization (claims, denials prevention, payment accuracy), enterprise analytics and learning content designed to improve cash flow, reduce denials and streamline revenue operations. FinThrive positions itself as a SaaS provider delivering AI and automation capabilities to improve financial performance and operational efficiency across the healthcare revenue cycle.

📋 Description

• 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

🎯 Requirements

• 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

🏖️ Benefits

• 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