Lead Data Analyst, Healthcare Revenue Optimization

FinThrive; United States; On-site; USD 140,000 - 200,000; Full time

Job summary

FinThrive in the United States seeks a Principal Data Analyst on the Product Optimization team to translate complex healthcare revenue cycle data into evidence-based product decisions for Insurance Discover. The role is deeply technical, statistically curious, and comfortable working across large datasets to identify root causes and measurable improvements.

You will partner with Product, Technology, Operations, Finance, Sales, and customer teams to uncover data quality issues, coverage gaps, and

Qualifications

• Bachelor's degree in a quantitative/technical field; advanced degree preferred.
• 6+ years of experience in data analytics, product analytics or healthcare analytics.
• Healthcare revenue cycle exposure (eligibility, coverage discovery, claims, denials, patient access).
• Advanced SQL skills with complex joins, CTEs and window functions.
• Experience with big-data environments or cloud platforms (Databricks, Snowflake, Azure, Spark).
• Strong statistical foundation and ability to translate analyses into actionable recommendations.

Responsibilities

• Analyze large healthcare revenue cycle datasets to identify trends, gaps, and opportunities to improve product accuracy and performance.
• Develop and maintain expertise in Insurance Discover product workflows and data processes.
• Create metrics, dashboards, and analytical frameworks to measure impact of product enhancements.
• Translate technical findings into clear business cases and executive-ready narratives.

Skills

SQL

Databricks

AI/ML

BI

Python

Data storytelling

Education

Bachelor's degree in a quantitative field

Advanced degree preferred

Tools

Databricks

Snowflake

Azure Data Lake

Synapse

Tableau/Power BI

Job description

FinThrive in the United States seeks a Principal Data Analyst on the Product Optimization team to translate complex healthcare revenue cycle data into evidence-based product decisions for Insurance Discover. The role is deeply technical, statistically curious, and comfortable working across large datasets to identify root causes and measurable improvements.

You will partner with Product, Technology, Operations, Finance, Sales, and customer teams to uncover data quality issues, coverage gaps, and