Teams at Index Analytics

Analyzes Medicaid and CHIP claims and enrollment data using SQL, Python, and R. Builds statistical models, predictive analyses, data visualizations, and analytic tools; develops and maintains production code; performs data mining, validation, quality assurance, and anomaly diagnosis. Collaborates with government and internal clients to produce reports and recommendations, documenting code and outputs in an agile team environment.

Conducts statistical, qualitative, and quantitative analysis of Medicaid and CHIP data to support federal healthcare policy, program oversight, and business solutions. Responsibilities include data mining, predictive modeling, reporting, visualization, research, technical documentation, and communicating findings to clients and scientific audiences. Works with analysts and data scientists in an agile environment, supporting CMS-related business needs and developing recommendations, analytic briefs, presentations, and reports.

Build, test, deploy, and support full-stack applications and cloud-based data solutions. Develop RESTful APIs, ETL/ELT pipelines, Snowflake data models, and Apache Airflow workflows. Support AWS deployments, relational database integrations, infrastructure as code, CI/CD, monitoring, troubleshooting, and production operations while collaborating with Cloud Engineering, DevSecOps, analytics, and application teams in an Agile environment.