Senior Data Analyst
Job Description
Marsh McLennan Agency is seeking a Senior Population Health Data Analyst to join the PATH team in Atlanta, GA on a hybrid schedule. This role centers on data analysis, querying, and reporting to inform renewal and risk mitigation decisions, supporting RN Clinical Consultants and Account Executives, and translating healthcare utilization patterns into actionable insights.
Responsibilities
- Participate in client meetings to introduce analytic frameworks, gather information, and provide consulting.
- Collaborate with implementation, account management, clinical, and health teams to align expectations, prioritize tasks, build reports, and deliver insights.
- Serve as a healthcare data analytics subject matter expert, creating standard and ad hoc reports to highlight trends, risks, and opportunities.
- Lead training on data warehouse use, perform monthly data quality assurance, and develop case studies and cohort analyses for internal and external presentations.
Requirements
- At least 5 years of employee benefits or healthcare experience with consultants, brokers, health plans, systems, or providers.
- Proficient in reporting and analytics platforms (e.g., Tableau, PowerBI) with strong understanding of key performance metrics across medical, pharmacy, wellness, and other benefits data.
- Advanced Excel skills and knowledge of SQL.
- Experience working in data warehouse environments such as Artemis Health, Cotiviti, SCIO, Springbuk, or carrier/TPA platforms.
- Legal work authorization to work in the United States on a permanent and ongoing basis without the need for sponsorship now or in the future.
Technologies
- Tableau
- PowerBI
- SQL
- Excel
- Artemis Health
- Cotiviti
- SCIO
- Springbuk
Benefits
- Generous time off, including personal and volunteering
- Tuition reimbursement and professional development opportunities
- Flexible hybrid work environment
- Charitable contribution match programs
- Stock purchase opportunities
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Additional Qualifications
- Bachelor’s degree or equivalent career experience preferred; preferred degree types: health sciences, information technology, statistics or other related field. Masters preferred.
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