Healthcare Data Analyst I

Position Summary 
Member of the Endocrine Division Quality Improvement team and assists in delivering readily available and actionable data to inform and influence team decision-making and drive better patient care and outcomes. Provides data support for aggregation of healthcare data, including quality, patient, and financial, to support Division and Department reporting needs. Supports/assists with analyses, report development, and data validation under guidance from more senior team members. Research, designs, develops, implements, and maintains reporting and analytical facilities. Provides analytical and technical guidance to clients.

Key Responsibilities 

• Assists in the research, design, development, implementation, and maintenance of reporting and analytical tools in the context of the hospital's clinical and/or financial systems.
• Collaborates with clinical and administrative staff to ensure that reports are timely, accurate, meaningful, and interpretable.
• Works with other team members to ensure that analyses and reports provide detailed, specific data regarding performance of individuals, teams, programs, divisions, and the department as a whole.
• Generates reports from a variety of internal and external sources, including benchmarking databases, e.g., PHIS, PACT, and specialty-specific registries.
• Performs standardized data validation activities to ensure the accuracy of information before sharing with audiences.
• Assists in the creation of large new databases, or creates smaller databases as needed, and maintains a valid and accurate data repository to ensure availability of required information.
• Assists in the definition of specifications for key data elements, data collection procedures, and integrity of databases. Improves and maintains the production environment for tasks and applications.
• Works with team members to develop an insightful display of data using visualization tools. Assists in the interpretation of data.

Minimum Qualifications
Education:

• A bachelor's degree in a related field, such as Computer Science or Data Analytics; a MA or MS degree is preferred. 

Experience:

• At least two years of prior, relevant experience is required