Principl Data Analyst, Product Optimization - Healthcare RCM/Insurance Discover

Location: United States

Company

hirify.global develops healthcare revenue management solutions, including the Insurance Discover product for coverage discovery and recovered revenue.

What you will do

• Develop subject matter expertise in Insurance Discover, including eligibility and coverage discovery logic, data ingestion, matching behavior, customer workflows, and operational processes.
• Analyze large healthcare revenue cycle datasets to identify trends, anomalies, failure patterns, data quality issues, and product improvement opportunities.
• Use advanced SQL and Databricks to query, structure, profile, and interpret high-volume data across multiple sources and workflows.
• Apply descriptive, diagnostic, and basic statistical techniques to evaluate product performance, validate hypotheses, and measure impact.
• Build metrics, dashboards, scorecards, and monitoring frameworks for product enhancements, operational optimization, and customer outcomes.
• Translate technical findings into recommendations, business cases, decision support, and executive-ready narratives while partnering with Product, Technology, Operations, Finance, Sales, and leadership.

Requirements

• Bachelor’s degree in a quantitative or technical field such as Statistics, Data Science, Information Systems, Computer Science, Mathematics, Economics, Engineering, or Healthcare Informatics.
• 6+ years of experience in data analytics, product analytics, business analytics, healthcare analytics, revenue cycle analytics, or a related role.
• Healthcare revenue cycle experience, ideally involving 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, data validation, and performance-aware querying.
• Experience with big-data or cloud data platforms such as Databricks, Snowflake, Azure Data Lake, Synapse, Spark, or comparable tools.
• Strong statistical reasoning, data visualization, communication, prioritization, problem-solving, and project management skills.

Nice to have

• Product optimization, product operations, product performance management, or data-driven product strategy experience in healthcare technology.
• Practical Python or PySpark experience.
• Experience designing analytical QA checks, data reconciliation logic, exception reporting, or monitoring frameworks.
• Familiarity with machine learning concepts, predictive analytics, model-assisted analysis, or experimentation frameworks.

Culture & Benefits

• Agile, customer-centric, reliable, and engaged working culture.
• Cross-functional collaboration in a matrixed environment.
• Commitment to integrity, ethics, continuous learning, and feedback.
• Work requires compliance with HIPAA, FCRA, GLBA, confidentiality, and other applicable regulations.
• Reasonable accommodations are available for qualified individuals with disabilities.