Senior Government Data Analyst

Marsh McLennan

. Utilize Python, SQL, SAS, and other programming languages to interpret and analyze large health care data sets .

Posted 10/7/2026full-timeUnited StatesSenior💰 $54,000 - $108,000 per yearWebsite

Core Competencies

Role fit

Core Competencies

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Demonstrates expertise in analyzing large healthcare data sets using Python, SQL, and SAS, while effectively communicating findings through reports and presentations. Proven ability to collaborate in team environments and manage multiple priorities in fast-paced consulting settings.

Highest-signal resume keywords

Python ProgrammingSQL ProficiencySAS ExperienceHealthcare Data AnalysisClient Communication

ATS Keywords

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Applicant Tracking System Keywords

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Hard Skills

PythonSQLSASData AnalysisQuantitative SkillsProgramming LanguagesCreative Problem-SolvingAnalytical SkillsTime ManagementOrganizational Skills

Soft Skills

Interpersonal SkillsVerbal CommunicationWritten CommunicationTeam CollaborationInitiative

Tools & Technologies

MS ExcelMS PowerPointMS WordAI ToolsTechnology-Enabled Tools

Industry Keywords

MedicaidMedicareHealth Care DataGovernment-Sponsored ProgramsConsulting Environment

Tech Stack

Tools & technologies

PythonSQL

About the role

Key responsibilities & impact

Utilize Python, SQL, SAS, and other programming languages to interpret and analyze large health care data sets
Assist in developing client communications, proposals, reports, spreadsheets, and presentations
Gain understanding of government-sponsored health and welfare programs, including Medicaid and Medicare
Use AI and technology-enabled tools
Work in a fast-paced consulting environment to meet client demands and deadlines
Collaborate with colleagues across organizational levels
Participate in smaller team-based assignments and larger client and industry projects
Collaborate with programmers, actuaries, and clinicians on Medicaid consulting projects

Requirements

What you’ll need

Bachelor's degree in related field
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 environment with rapidly changing priorities and demands
Experience with programming languages such as Databricks, Python, SQL, and/or SAS
Proficiency with MS Excel, PowerPoint, and Word
Creative problem-solving abilities
Eagerness to drive results and take initiative

Benefits

Comp & perks

Professional development opportunities
Supportive leaders
Flexible work environment
Health and welfare benefits
Tuition assistance
401K savings
Other retirement programs
Employee assistance programs
Performance-based incentives may be available
Hybrid work flexibility and collaboration, connection, and professional development benefits from working in the office