Healthcare Data Analyst

7 days ago

Marquand, Missouri, United States Syra Health Full time

About Syra Health

Syra Health is a healthcare consulting company with a mission to improve healthcare by providing innovative services and technology solutions. Our goal is to become a valuable partner to government, payers, providers, life sciences organizations, and academic institutions. We offer products and services in digital health, behavioral and mental health, population health management, health education, and healthcare workforce.

Job Summary:

Syra Health is seeking a highly skilled and detail-oriented Healthcare Data Analyst to join our Data Engineering, Architecture, and Science (I.D.E.A.S.) team. The role will be responsible for analyzing and interpreting Medicaid data to support decision-making processes, improve healthcare outcomes, and ensure compliance with regulatory requirements. The ideal candidate will have a strong background in data analysis, healthcare systems, and a keen understanding of Medicaid policies and procedures.

Responsibilities:

  • 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 client 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 client 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)

Requirements:

  • 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 RShiny

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