Lead Data Analyst
3 weeks ago
The Lead Data Analyst will support the data modeling and analytics for the Government Business Segment (Primarily Medicare Advantage business). The ideal candidate will have strong analytical skills, a deep understanding of data structures, and the ability to translate business requirements into effective data model to support Medicare analytics.
The ideal candidate will have a collaborative and creative mindset and be able to:
Creatively solve problems to drive results through use of project management, technology, and processes
Consistently improve the department through positive attitude, attention to detail, and thorough documentation of deliverables
Effectively manage projects using agile principles
Handle ambiguity well
This position will have exposure to a broad spectrum of the Government Business Segment data models and insights will support various departments including but not limited to: Finance, Risk Management, Operations, Contracting, Provider Relations, Health Services, Product, and local market leadership.
Key responsibilities include
Develop and maintain data models to support the organization's analytic initiatives
Collaborate with cross-functional teams to understand business requirements and translate them into data models
Build and maintain data pipelines to ensure data integrity and reliability
Perform data analysis to identify trends, patterns, and insights that drive business decisions
Support the broader analytics community by providing expertise and guidance on data modeling best practices
Support matrix partners with ad-hoc needs and user story development for broader analytics organization efforts
Become an expert in CMS reimbursement methodologies and understand how to identify trends and hot spots by payment area
Minimum Qualifications
Bachelor’s Degree in Computer Science, Engineering, Analytics, Biostatistics, Statistics, Mathematics, or equivalent training.
Minimum 3 years’ experience in analytics; or any combination of education and experience.
Proficiency in SQL
Experience using Git, Excel, Python, Tableau, SAS, or R
Strong analytic and problem-solving skills
Excellent oral and written communication skills
Proven ability to work effectively in a matrixed environment
Preferred Qualifications:
Experience in data modeling
Experience with CMS healthcare data (MMR, Claims, Eligibility, Provider)
Experience with CMS payment methodologies (IPPS, OPPS, etc)
Familiarity with medical and pharmacy claims, ICD10, DRG, APC, HCPCS, CPT
Experience with Teradata, Hadoop, or other big data platforms
Data Modeling
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