Temporary Intern - Data Analytics at Cotiviti in Remote

Summary: Cotiviti is seeking a Data Analytics Intern to join our healthcare data processing and AI team for Summer 2026. This internship focuses on analyzing Risk Adjustment healthcare data, performing Precision Recall calculations, and supporting AI/NLP innovation projects. Responsibilities: - Perform analytics for Risk Adjustment operations, including PR number calculations, analysis of False Position and False Negative ICD10 Codes, and HCC metrics - Write SQL queries to extract, transform, and analyze healthcare data from enterprise databases - Develop Tableau dashboards and reports to visualize Risk Adjustment metrics, trends, and operational KPIs - Work with medical claims data, ICD-10 codes, and Risk Adjustment models to support business operations - Learn and assist with NLP projects, LLM integration, and AI innovation initiatives that enhance medical data processing - Perform data quality checks, validation processes, and reconciliation for healthcare datasets - Assist with data pipelines, transformations, and data preparation for analytics and AI applications - Develop Python scripts for data analysis, automation, and supporting analytical workflows - Query SQL Server and Oracle databases to support business analytics and reporting needs - Document analytical processes, data definitions, and support quality assurance activities - Complete all special projects and other duties as assigned Required Qualifications: - Currently pursuing a Bachelor's degree in Business Analytics, Data Science, Management Information Systems (MIS), Computer Science, or related field - Strong SQL skills required - ability to write complex queries, joins, and perform data analysis - Data analysis experience with Excel, statistical tools, or analytics platforms - Experience with data visualization tools such as Tableau, Power BI, or similar - Programming experience in Python, Java, or similar languages - Strong analytical and problem-solving abilities - Excellent attention to detail and accuracy - Strong communication and presentation skills - Eager to learn new technologies and business domains - Ability to work independently and collaboratively Preferred Qualifications: - Junior or Senior standing preferred - GPA of 3.0 or higher Required Skills: SQL, Data analysis, Tableau, Power BI, Python, Java, Healthcare analytics, ICD-10 codes, Risk Adjustment models, Precision Recall calculations, Natural Language Processing, Large language models, Data visualization, Data quality checks, Data pipelines