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Senior Analyst – Data
Marsh McLennan. Utilize programming languages including Python, SQL, and SAS to interpret and analyze large health care data sets .
Core Competencies
Role fitCore Competencies
Use this summary to align your resume positioning with the role.
Demonstrates expertise in analyzing large health care data sets using programming languages such as Python, SQL, and SAS, while effectively communicating insights through reports and presentations. Possesses strong organizational skills and the ability to collaborate in dynamic team environments to drive results in health care delivery systems.
Highest-signal resume keywords
Python ProgrammingSQL ProficiencySAS AnalysisHealth Care Data AnalysisMS Excel Proficiency
ATS Keywords
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Hard Skills
Python ProgrammingSQL ProficiencySAS AnalysisData AnalysisQuantitative SkillsAnalytical SkillsCreative Problem-SolvingClient CommunicationProposal DevelopmentReport Writing
Soft Skills
Organizational SkillsTime ManagementInterpersonal SkillsVerbal CommunicationWritten Communication
Tools & Technologies
MS ExcelMS PowerPointMS WordAI ToolsTechnology-Enabled Tools
Industry Keywords
Health Care Delivery SystemsMedicaidMedicareMedicaid Claims DataConsulting Environment
Tech Stack
Tools & technologiesPythonSQL
About the role
Key responsibilities & impact- Utilize programming languages including Python, SQL, and SAS to interpret and analyze large health care data sets
- Assist in developing client communications, proposals, reports, spreadsheets, and presentations
- Gain an understanding of health care delivery systems, including Medicaid and Medicare
- Use AI and technology-enabled tools
- Work in a fast-paced consulting environment with colleagues across organizational levels to meet client demands and deadlines
- Collaborate on smaller team-based assignments and participate in larger-scale client and industry projects
- Analyze Medicaid claims data to improve patient access, cost efficiency, and service quality
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 (desired), Python, SQL, and/or SAS
- Proficiency with MS Excel, PowerPoint, and Word
- Eagerness to drive results and take initiative
- Creative problem-solving abilities
Benefits
Comp & perks- Professional development opportunities
- Health and welfare benefits
- Tuition assistance
- 401K savings
- Other retirement programs
- Employee assistance programs
- Flexible hybrid work arrangement
- Competitive total rewards package