Senior Data Analyst, Cost

Senior Data Analyst, Cost at Global Appropriateness Measures LLC Senior Data Analyst, Cost at Global Appropriateness Measures LLC in Cambridge, Massachusetts Posted in 2 days ago.

Type:

full-time

Job Description:

KEY RESPONSIBILITIESMRF

& Claims AnalysisAnalyze payer and hospital machine-readable files and develop methods to assess the credibility of prices. Leverage claims data to validate the provision of services by providers in the machine-readable files. Work with price transparency data to support cost analysis for GAMs provider directory and platform.

Contribute to translating MRF analysis into data products that can be brought to market.

Data Quality & ValidationIdentify anomalies, gaps, and inconsistencies across MRF datasets.

Support QA processes to ensure data integrity in downstream products.

Document findings and methods for both technical and non-technical audiences.

Cross-Functional CollaborationPartner with data engineers and product teams to translate analytical findings into actionable outputs.

Contribute to data definitions, methodology documentation, and MRF-based logic used across the platform.

Participate in client or vendor conversations as needed as a subject matter expert.

EDUCATION

Bachelor's degree in Statistics, Biostatistics, Public Health, Health Informatics, Computer Science, Mathematics, or a closely related quantitative field.

REQUIRED QUALIFICATIONS

Direct experience with MRF and price transparency data, including a working understanding of payer and hospital file structures, limitations, and analytical use cases.

Deep hands-on experience with claims analysis across commercial, Medicare, and Medicaid, including professional and institutional claim types, revenue codes, CPT/HCPCS codes, DRGs (MS-DRGs and APR-DRGs), and payer and population-specific nuances.

Proficiency in SQL.Experience with Python for data analysis and manipulation.

Exposure to Databricks or similar cloud data platforms.

Strong critical thinking skills.

Attention to detail and comfort working with large, complex, real-world datasets.

Ability to communicate findings clearly to both technical and non-technical stakeholders.

PREFERRED QUALIFICATIONS

Familiarity with CMS data. Experience in payer, provider, or health IT/vendor environments. recblid 280nqrqok32dxqgpsxdqyfmgjvsnl0