Analyze large datasets to identify trends, patterns, and insights related to coding output, with a focus on improving quality.
Take ownership of complex data workflows by building and maintaining scalable analytics pipelines using data tools such as SQL, SAS, and Snowflake.
Leverage technical expertise to streamline recurring and/or ad-hoc analyses into reusable, scalable data products.
Collect, interpret, and aggregate data from multiple sources to support risk adjustment, medical record coding, government audits, and quality initiatives.
Support the development of risk-related policies, procedures, and governance strategies, identifies opportunities to improve processes and efficiency, and delivers actionable insights through enterprise reporting and analytics tools such as SQL, SAS, Snowflake, and Power BI.

Requirements

5 years' experience in data analysis, database technologies (Snowflake, SAS), SQL queries, etc.
Experience analyzing risk adjustment data for trends, disease/diagnosis prevalence and condition hierarchy.
Prefer experience with advanced analytics tools and programming languages, such as Python.
Bachelor's Degree in Analytics, Information Systems, or related field or 9 years of relevant experience in lieu of degree.
Advanced proficiency with SQL query techniques and exposure to business intelligence tools with advanced proficiency in SAS, Power BI, and Snowflake.
Advanced skills in Microsoft Excel.

Benefits

Applicant Tracking System Keywords

Tip: use these terms in your resume and cover letter to boost ATS matches.

Hard Skills & Tools

data analysisSQLSASSnowflakePythonadvanced analyticsMicrosoft Exceldata workflowsanalytics pipelinesbusiness intelligence

Soft Skills

ownershipprocess improvementefficiencyactionable insightscommunication