Sr. Data Analyst( Medicaid) - Healthcare - Onsite//Indianapolis, IN.

• 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