Senior Healthcare Data Analyst - Medicaid & Government Data

Index Analytics; Baltimore (MD); On-site; USD 100,000 - 120,000; Full time

Job summary

Index Analytics, a Baltimore-based health consulting firm, is seeking a Programmer / Analyst to support federal government clients in the Baltimore-Washington metro area. The role focuses on deriving value from data through statistical analysis and programming to tackle healthcare challenges.

Responsibilities include analyzing Medicaid data, building models and visualizations, writing production SQL/Python code, and conducting QA/validation before release.

Qualifications

• Bachelor's degree required with at least 4 years of relevant experience.
• Experience with Python, R, SQL for large datasets and data validation.
• Familiar with GitHub and CI/CD pipelines.
• Knowledge of NLP in Python.
• US citizenship or eligibility to work in the US and ability to obtain government badge.
• Strong communication skills.

Responsibilities

• Research best practices and develop solutions for Medicaid/CHIP policy initiatives.
• Perform statistical analysis, data mining, and predictive modeling on Medicaid data.
• Produce ad hoc data and reports that visualize data for HCD and UX.
• Write, test, and maintain production code (SQL/Python) processing claims and enrollment data.
• Run QA/validation steps on code and outputs before publication.
• Collaborate in an agile team with data analysts and scientists.
• Develop data mining using state-of-the-art methods.
• Build statistical models and data visualization tools for analysis.

Skills

Python

R

SQL

NLP

Data Visualization

Statistics

Education

Bachelor's degree

Tools

GitHub

Jenkins

CI/CD

Job description

Index Analytics, a Baltimore-based health consulting firm, is seeking a Programmer / Analyst to support federal government clients in the Baltimore-Washington metro area. The role focuses on deriving value from data through statistical analysis and programming to tackle healthcare challenges.

Responsibilities include analyzing Medicaid data, building models and visualizations, writing production SQL/Python code, and conducting QA/validation before release.