5+ years of experience in data analysis Experience with database technologies (Oracle/MS SQL Server, Snowflake, Databricks) SQL queries MS Excel Python Deep understanding of and experience in Risk Adjustment (MA, ACA and MD) business analytics Knowledge of different risk models including HCC, RxHCC, HHS-HCC and CDPS Intermediate proficiency in SQL Intermediate proficiency in Python Intermediate proficiency in spreadsheets and BI tools Experience analyzing risk adjustment data for trends, disease/diagnosis prevalence and hierarchy Experience managing data flows for chart retrieval, RA coding, HEDIS abstraction and quality Ability to build, architect and deliver robust customer facing and internal reports Experience in building queries to collect and interpret raw data from databases Experience in using business intelligence, data visualization, query, analytic and statistical software Strong problem-solving skills Expertise in data cleaning, preprocessing, manipulation, integration, processing and interrogation of large datasets Exceptional initiative and ability to solve problems independently Excellent communication skills Well-developed time management skills and demonstrable experience of prioritizing work