MedReview Inc.

Auditor

• Conduct thorough data audits to ensure accuracy in claims processing and resolution.
• Analyze large datasets to identify patterns, discrepancies, and trends related to claims performance.
• Work closely with team members to share insights, collaborate on problem-solving, and contribute to discussions regarding claims audits.
• Resolve claims discrepancies by determining whether claims are underpaid or overpaid, providing clear documentation of findings.
• Maintain high standards of accuracy and efficiency while following established leadership guidelines.
• Prepare and present audit findings and recommendations to leadership in a clear and concise manner.

Data Mining Auditor

Data Scientist

• Collaborate with stakeholders to identify business challenges that can be solved through data analysis.
• Gather data from various sources (SQL databases, APIs, web scraping), then clean and "wrangle" it to ensure accuracy for modeling.
• Design and implement algorithms and predictive models using machine learning techniques to forecast outcomes or categorize information.
• Analyze datasets to uncover hidden patterns, trends, and anomalies.
• Translate technical findings into "data stories" using tools like Tableau or Power BI to influence executive decisions.

Analyst

Data Mining Analyst

Business Intelligence Developer

• Design, develop, and maintain efficient data models and ETL/ELT processes
• Write complex SQL queries and ClickHouse functions
• Utilize Python for data cleaning, transformation, and automation of BI tasks
• Create interactive dashboards and reports using BI tools
• Translate stakeholder needs into actionable BI solutions
• Ensure data accuracy, integrity, and security
• Collaborate with clinicians and operational leaders
• Perform deep-dive analyses to support strategic decision-making

Business Intelligence Analyst – Developer

Data Engineer

• Design, implement, and maintain end-to-end data pipelines on Azure, ensuring high availability and low latency for healthcare claim and analytics processing.
• Manage and optimize ClickHouse as our primary analytical engine.
• Structure data environments to support the full ML lifecycle.
• Collaborate with Data Scientists to implement automated CI/CD pipelines for model deployment, monitoring, and retraining.
• Develop scalable frameworks to ingest diverse healthcare data sources with high velocity.
• Ensure all data structures and processes adhere to HITRUST/HIPAA standards.