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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 www.syrahealth.com.
Job Summary
We are seeking a highly skilled Data Analyst to join our team and play a critical role in supporting our healthcare initiatives. The ideal candidate will have a strong background in data analysis, statistical modeling, and data visualization. This role will involve analyzing complex datasets, generating insightful reports, and supporting key decision-making processes.
Key Responsibilities
- Data Analysis and Reporting: Conduct in-depth analysis of large datasets to identify trends, patterns, and anomalies. Develop and maintain data reports and dashboards to monitor key performance indicators.
- Statistical Modeling: Utilize statistical techniques to model data, forecast trends, and make data-driven decisions.
- Data Visualization: Create clear and compelling data visualizations using tools like Power BI, Tableau, or other relevant software.
- Compliance and Quality Monitoring: Support compliance efforts by analyzing data to identify potential issues and track key performance metrics.
- Provider Network Analysis: Analyze provider network data to assess adequacy and identify opportunities for improvement.
- Geographic Access Reporting: Generate reports on geographic access to healthcare services, utilizing tools like GIS.
- Ad-hoc Analysis: Respond to ad-hoc data requests and provide timely analysis.
- Strong proficiency in SQL for data extraction, transformation, and analysis.
- Experience with data visualization tools (Power BI, Tableau).
- Knowledge of statistical analysis techniques (regression, hypothesis testing, ANOVA).
- Familiarity with healthcare data and regulatory requirements.
- Excellent analytical and problem-solving skills.
- Strong attention to detail and accuracy.
- Excellent communication and presentation skills.
- Experience with Python or R for data analysis and modeling.
- Knowledge of GIS tools (ArcGIS, QGIS).
- Experience with data warehousing and ETL processes.
- Certification in data analysis or business intelligence.
- Healthcare data and knowledge of the healthcare industry is a plus
Key Skills
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