Principal Data Analyst - Product Optimization, Healthcare Revenue Cycle

Location: United States

Company

hirify.global develops healthcare revenue cycle solutions, including the Insurance Discover product, to improve revenue management and customer outcomes.

What you will do

• Develop subject matter expertise in Insurance Discover, including eligibility and coverage discovery logic, data ingestion, matching behavior, and operational workflows.
• Analyze large healthcare revenue cycle datasets to identify trends, anomalies, failure patterns, data quality issues, and product improvement opportunities.
• Use advanced SQL and Databricks or comparable big-data platforms to structure, profile, validate, and interpret high-volume data.
• 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, and decision support 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, 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 field.
• Healthcare revenue cycle experience, preferably 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 Databricks, Snowflake, Azure Data Lake, Synapse, Spark, or comparable big-data and cloud data platforms.
• Experience with data visualization and storytelling tools such as Tableau, Power BI, SSRS, or Excel, plus the ability to communicate recommendations to technical and non-technical stakeholders.

Nice to have

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

Culture & Benefits

• Agile, customer-centric, reliable, and engaged working culture.
• Focus on integrity, ethics, continuous learning, self-development, and feedback.
• Work includes compliance with HIPAA, FCRA, GLBA, and related healthcare data confidentiality requirements.
• hirify.global offers colleague perks and benefits, with current offerings provided through its careers program.