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Data Analyst
2 weeks ago
Key Responsibilities :
- Utilize Python programming skills to perform data analysis and derive actionable insights in the healthcare domain.
- Conduct commercial analytics, including market trend analysis, competitor analysis, and pricing optimization, using Pythonbased tools and techniques.
- Perform patient analytics to identify patterns, trends, and correlations in patient data, aiding in healthcare decisionmaking and patient care improvement initiatives.
- Analyze Electronic Medical Records (EMR) and Claims data to extract relevant information and insights for healthcare providers and payers.
- Develop and execute SQL queries to retrieve and manipulate data from relational databases, ensuring data accuracy and integrity.
- Utilize PySpark for largescale data processing and analysis tasks, optimizing performance and efficiency where applicable.
- Collaborate with crossfunctional teams, including data scientists, healthcare professionals, and IT specialists, to support datadriven decisionmaking and strategic initiatives.
- Stay updated on emerging trends and technologies in healthcare analytics and data science, continuously enhancing skills and knowledge.
Qualifications :
- Minimum of 3 years of experience in data analysis, with a focus on healthcare analytics.
- Proficiency in Python programming for data analysis and visualization.
- Experience in commercial analytics, patient analytics, and EMR/Claims data analysis within the healthcare industry.
- Strong skills in SQL for data querying and manipulation.
- Familiarity with PySpark for big data processing and analysis is a plus.
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