Medicaid Data Analytics Lead

Marsh; Phoenix (AZ); Hybrid; USD 54,000 - 108,000; Full time

Benefits offered by this job

Health benefits

Tuition assistance

401(k)

Job summary

Marsh is seeking a Government Consulting Senior Analyst - Data to join our GHSC Informatics team on a hybrid basis. The role supports our Medicaid-focused government consulting work and can be based in Minneapolis, Atlanta, Phoenix, or Seattle.

You will analyze health-care data with Python, SQL, and SAS, contribute to client communications and reports, and collaborate with programmers, actuaries, and clinicians on meaningful projects that improve access, cost efficiency, and quality of care.

Qualifications

• Bachelor's degree in related field required.
• At least 1 year of professional work experience with exposure to programming.
• Excellent analytical and quantitative skills.
• Great organizational and time management skills.
• Exceptional interpersonal, verbal, and written communication skills.
• Ability to work independently and in a dynamic team with changing priorities.

Responsibilities

• Utilize Python, SQL, and SAS to interpret and analyze large health care data sets.
• Assist in development of client communications, proposals, reports, spreadsheets, and presentations.
• Gain understanding of health care delivery systems, including Medicaid and Medicare.
• Thrive in an environment embracing AI and technology-enabled tools.
• Collaborate with colleagues on smaller team assignments and larger client projects.

Skills

Analytical thinking

Communication skills

Time management

Independent worker

Education

Bachelor's degree in related field

Tools

Python

SQL

SAS

Databricks

Job description

Marsh is seeking a Government Consulting Senior Analyst - Data to join our GHSC Informatics team on a hybrid basis. The role supports our Medicaid-focused government consulting work and can be based in Minneapolis, Atlanta, Phoenix, or Seattle.

You will analyze health-care data with Python, SQL, and SAS, contribute to client communications and reports, and collaborate with programmers, actuaries, and clinicians on meaningful projects that improve access, cost efficiency, and quality of care.