Healthcare Data Analyst - Medicare Fraud Analytics

Zizatek; United States; On-site; USD 80,000 - 120,000; Full time

Job summary

Zizatek, a specialty boutique firm focused on providing technology solutions to the Federal Government, seeks a Healthcare Data Analyst to join our team. You will evaluate Medicare/Medicaid data and support CMS fraud investigations.

In this full-time W2 role, you will work with investigators and statisticians, applying SQL and Python to analyze claims, identify aberrancies, and prepare data-driven referrals.

Qualifications

• Bachelor’s degree in statistics or related discipline (MA/MS preferred)
• Minimum 2 years of experience analyzing Medicare and/or Medicaid data
• Minimum 2 years of programming experience in SQL and Python; experience with Pandas/NumPy/Scikit-learn may be relevant
• Working knowledge of SAS, Databricks, Snowflake, or Spark; experience with visualization tools like Tableau or Power BI

Responsibilities

• Work with local management, investigators, and analysts to provide case development support and fulfill data requests
• Communicate effectively with internal and external customers, including federal law enforcement officers
• Validate data analysis results and analytically identify potential fraud, waste, and/or abuse in Medicare/Medicaid data
• Support CMS reporting requirements
• Detect aberrancies in Medicare/Medicaid claims data and develop leads from CMS, OIG, and other sources
• Collaborate with statisticians and data analysts to provide high-probability referrals to law enforcement or recovery actions
• Prepare and participate in training related to Medicare fraud data analysis

Skills

SQL

Python

Data analysis

Tableau

Power BI

Education

Bachelor’s degree in statistics or related discipline

Tools

SAS

Databricks

Snowflake

Spark

Tableau

Job description

Zizatek, a specialty boutique firm focused on providing technology solutions to the Federal Government, seeks a Healthcare Data Analyst to join our team. You will evaluate Medicare/Medicaid data and support CMS fraud investigations.

In this full-time W2 role, you will work with investigators and statisticians, applying SQL and Python to analyze claims, identify aberrancies, and prepare data-driven referrals.