Sr. Data Analyst( Medicaid)

1 month ago


Indianapolis, United States RADCUBE | Rapid Technology Solutions Full time
  • Data Collection and Management:
  • Collect, clean, and manage large datasets from various sources including electronic health records (EHR), claims data, and other healthcare databases
  • Ensure data integrity, accuracy, and completeness
  • Claims Management Data Processing:
  • Analyze claims data to identify trends, patterns, and anomalies in Medicaid claims
  • Develop and implement processes for claims data validation and reconciliation
  • Collaborate with claims management teams to streamline data processing workflows and ensure timely and accurate claims adjudication
  • Data Analysis and Modeling:
  • Conduct complex data analysis to identify trends, patterns, and insights related to Medicaid services and utilization
  • Develop and implement analytical models using SQL, Databricks, and Python
  • Utilize Azure and AWS for data storage, processing, and analysis
  • Reporting and Visualization:
  • Create comprehensive reports, dashboards, and visualizations to communicate findings to stakeholders
  • Use tools such as Tableau, Power BI, and RShiny to develop interactive visualizations
  • Present data insights and recommendations to healthcare providers, administrators, and policymakers
  • Compliance and Quality Assurance:
  • Ensure compliance with federal and state Medicaid regulations and reporting requirements
  • Conduct quality assurance checks to ensure data accuracy and reliability
  • Collaboration and Support:
  • Work closely with Milliman business teams, including IT, clinical staff, and management, to support data-driven decision-making
  • Provide training and support to staff on data-related tools and processes
  • Continuous Improvement:
  • Identify opportunities for process improvements and implement best practices in data analysis and management
  • Stay updated with the latest trends and advancements in healthcare data analytics and Medicaid policies
  • Deliverables:
  • Deliver data artifacts post-analysis on a monthly, weekly, and ad-hoc basis to Milliman business teams
  • Ensure timely and accurate delivery of data insights and recommendations
Qualifications
  • Excellent analytical and problem-solving skills
  • Strong attention to detail and accuracy
  • Ability to interpret complex data and present findings in a clear and concise manner
  • Strong communication and interpersonal skills
  • Ability to work independently as well as part of a team
  • Ability to support data analysis projects, develop reports and dashboards, and assist in data cleaning and preparation
  • Knowledge of healthcare data standards and privacy regulations (e.g., HIPAA)
Required:
  • Bachelor's degree in Data Science, Statistics, Public Health, Health Informatics, or a related field
  • Minimum of 5 years of experience in data analysis, preferably in a healthcare or Medicaid environment
  • Strong understanding of Medicaid policies, procedures, and regulations
  • First-hand experience with SQL, Databricks, and Python
  • Proficiency in 1 or more cloud platforms, such as, Azure and AWS
Preferred:
  • Master's degree in Data Science, Statistics, Public Health, Health Informatics, or a related field
  • Experience with one or more: SAS, R, and RShin

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