Senior Data Analyst - Post Payment Analytics
New
Full-time RemoteFull-TimeSenior
Salary not disclosed
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Job Details
- Experience
- Minimum of 4 years of experience performing data analytics, data analysis, or business intelligence activities.
- Required Skills
- PythonSQLBusiness IntelligenceMicrosoft Power BIData visualizationData analyticsDatabricks
Requirements
- Bachelor's degree in Data Analytics, Computer Science, Information Systems, Healthcare Informatics, Statistics, Mathematics, or a related field (or equivalent experience).
- Minimum of 4 years of experience performing data analytics, data analysis, or business intelligence activities.
- Minimum of 3 years of hands-on experience developing analytical solutions using Databricks.
- Demonstrated experience working with healthcare claims data, including analysis, validation, and interpretation of large/complex datasets.
- Experience developing reports, dashboards, data visualizations, and analytical products to support business operations.
- Strong analytical and problem-solving skills for identifying trends, anomalies, and improvement opportunities.
- Experience translating business requirements into analytical solutions and presenting findings to technical and non-technical stakeholders.
- Knowledge of data governance principles, data quality management, and best practices for data integrity.
- Ability to manage multiple priorities, meet deadlines, and work independently.
Responsibilities
- Analyze large and complex healthcare claims datasets to support post-payment analytics, payment integrity initiatives, and program objectives.
- Develop, maintain, and optimize analytical datasets, reports, dashboards, and visualizations using Databricks and other analytics tools.
- Collaborate with program managers, functional leads, technical teams, and government clients to gather, interpret, and translate business requirements into analytical solutions.
- Perform advanced data analysis to identify payment trends, anomalies, overpayments, and opportunities for operational improvement.
- Validate, reconcile, and monitor healthcare claims data to ensure consistency, completeness, and compliance with data governance standards.
- Present analytical findings, insights, and recommendations to stakeholders to support data-driven decision-making.
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