SH-595 Healthcare Data Analyst, Indianapolis, IN
About Syra Health:
Syra Health is a healthcare consulting company with a mission to improve healthcare by providing innovative services and technology solutions. Syra Health aims to achieve its goal by becoming a valuable partner to government, payers, providers, life sciences organizations, and academic institutions. Syra Health offers products and services in digital health, behavioural and mental health, population health management, health education, and healthcare workforce.
For more information, please visit .
Job Summary:
Syra Health is seeking a highly skilled and detail-oriented Healthcare Data Analyst, Medicaid 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. This role involves close collaboration with client business teams to deliver data artifacts on a monthly, weekly, and ad-hoc basis. Proficiency in SQL, Databricks, Python, Azure, and AWS are essential; Experience with SAS, R, and RShiny are a plus.
Responsibilities:
As part of the I.D.E.A.S. team, this role will analyze and interpret Medicaid data to support decision-making processes, improve healthcare outcomes, ensure compliance with regulatory requirements, and streamline claims management data processing. Below are enhanced and specific responsibilities aligned with the team's needs:
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)
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 RShiny
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