• Provides advanced level data analysis, report writing/data mining, risk assessments, systems analysis, programming/technical execution, and tool development for system wide pharmacy related clinical, financial and compliance analytics needs across Sharp HealthCare to support recommendations for improved entity operations.

• Extract data from primary and secondary sources • Ensure data accuracy and quality by removing irrelevant information • Classify and organize data for further analysis • Utilize statistical techniques to analyze data • Identify trends, patterns, and correlations within complex datasets • Translate findings into meaningful insights • Develop and manage data systems and databases • Implement strategies to optimize statistical efficiency and data quality • Maintain data sources and ensure data integrity • Master data visualization tools to create easily understandable graphs • Facilitate data-driven decision-making through visual representations

• Work within established data models to understand data structures and entity relationships • Contribute to the maintenance and documentation of existing data models • Perform descriptive data analysis under the guidance of senior analysts to identify trends and patterns • Prepare basic reports and visualizations to present data insights to stakeholders • Work closely with data engineers, project managers, and senior analysts to deliver high-quality data solutions • Provide timely updates on assigned tasks and proactively communicate any roadblocks • Ensure data accuracy by cross-checking data for assigned tasks • Adhere to data security and compliance regulations and standards • Participate in code reviews to learn from senior analysts and ensure adherence to best practices

• Work within established data models to understand data structures and entity relationships. • Contribute to the maintenance and documentation of existing data models. • Perform descriptive data analysis under the guidance of senior analysts to identify trends and patterns. • Prepare basic reports and visualizations to present data insights to stakeholders. • Work closely with data engineers, project managers, and senior analysts to deliver high-quality data solutions. • Provide timely updates on assigned tasks and proactively communicate any roadblocks. • Ensure data accuracy by cross-checking data for assigned tasks. • Adhere to data security and compliance regulations and standards. • Participate in code reviews to learn from senior analysts and ensure adherence to best practices.