Clinical Analytics Lead: SQL, Dashboards & Quality Insight

CareMore Health; California, Northern (MO, KY); Hybrid; USD 130,000 - 195,000; Full time

Job summary

CareMore Health is seeking a Senior Clinical Data Analyst to join the analytics team to support and advance clinical analytics by analyzing clinical, claims, and operational data to uncover insights that drive improvements in quality, outcomes, and efficiency.

This hands-on role emphasizes writing advanced SQL, building compelling visualizations, and communicating findings in plain business language to guide clinical and operational decision-making.

Qualifications

• 3+ years of experience in data analytics, healthcare analytics, or business intelligence.
• Proficiency in SQL with joins and basic performance tuning.
• Experience creating dashboards and data visualizations that support decision-making.
• Ability to translate analytical findings into clear, concise insights for clinical or operational audiences.

Responsibilities

• Data Analysis & Insight Generation: Write, optimize, and maintain SQL queries to extract, transform, and analyze large datasets.
• Analyze clinical, claims, and operational datasets to identify trends and opportunities for improving outcomes.
• Conduct focused deep dive analyses on quality metrics, utilization patterns, readmissions, and chronic disease management.
• Reporting & Visualization: Build and maintain dashboards and reports in Power BI or similar tools.
• Ensure reporting aligns with organizational priorities and regulatory programs (e.g., HEDIS, STARS).
• Collaborate with stakeholders to improve usability and timeliness of reports.

Skills

SQL

Data analytics

Data visualization

Communication

Cross-functional collaboration

Analytical thinking

Tools

Power BI

Tableau

Databricks

Job description

CareMore Health is seeking a Senior Clinical Data Analyst to join the analytics team to support and advance clinical analytics by analyzing clinical, claims, and operational data to uncover insights that drive improvements in quality, outcomes, and efficiency.

This hands-on role emphasizes writing advanced SQL, building compelling visualizations, and communicating findings in plain business language to guide clinical and operational decision-making.