Senior Data Analyst | School of Medicine - Pediatrics, HemThrom

Accountabilities

• Support the collection, integration, management, and analysis of data from multiple sources and healthcare systems.

• Configure and maintain technology solutions that support data receipt, transformation, validation, storage, and accessibility.

• Collaborate with clinical leadership and IT teams to design and implement Epic Smart Forms within Healthy Planet, supporting population health management initiatives.

• Develop and maintain Epic dashboards, reports, and analytical tools that provide timely insights into clinical efficiency, care delivery, and patient outcomes.

• Ensure that data queries, reports, and other data uses are accurate, appropriate, and aligned with organizational needs.

• Design and implement automated data quality control procedures, monitor data integrity, and provide regular quality reports to relevant stakeholders.

• Work with clinical staff and other team members to design data collection instruments and improve database management, analytical processes, and reporting capabilities.

• Perform appropriate statistical and data analyses, explain methodologies and assumptions, and support stakeholders in interpreting findings and understanding their implications.

• Provide database-related guidance and technical expertise to help users address information management and reporting needs.

• Coordinate with onsite and field-based teams to ensure consistent application of data quality standards and appropriate access to central data repositories.

• Maintain clear and comprehensive documentation, including data dictionaries, standard operating procedures, workflows, and descriptions of analytical methodologies and results.

• Carry out additional related responsibilities as assigned.

Requirements

• Bachelor's degree in computer science or a related field, with at least three years of experience in data-related processes and standards, or an equivalent combination of education, training, and experience.

• Experience with relational database management systems, such as Oracle, Microsoft SQL Server, or MySQL, is preferred.

• Familiarity with statistical analysis software, such as SAS, SPSS, or R, is preferred.

• Strong analytical and problem-solving skills, with the ability to assess data quality, perform appropriate analyses, and translate findings into meaningful insights.

• Understanding of data management principles, data validation, reporting processes, and documentation standards.

• Ability to develop and maintain dashboards, reports, and automated quality control procedures that support operational and clinical decision-making.

• Strong communication and collaboration skills, including the ability to work effectively with clinical professionals, IT teams, and administrative stakeholders.

• Attention to detail and a commitment to maintaining data accuracy, consistency, confidentiality, and appropriate use.

• Ability to document technical methods and workflows clearly and explain analytical results to audiences with varying levels of technical expertise.

• Location requirement: Candidates must reside in the state of Georgia and be able to commute to the designated university campus on a flexible weekly schedule based on departmental needs.

Benefits

• Work arrangement: Hybrid remote work, with regular work-from-home opportunities and required in-person attendance according to departmental needs.

• Work location: Based in Georgia, with the ability to commute to the university campus as needed.

• Professional impact: Opportunity to support pediatric clinical quality improvement, population health management, and data-informed healthcare delivery.

• Cross-functional collaboration: Work alongside clinical leadership, IT professionals, and healthcare partners on data and technology initiatives.

• Compensation: Salary range and specific compensation details are not provided in the available job description and should be confirmed with the company responsible for the vacancy.

• Healthcare and retirement benefits: Specific medical, dental, vision, retirement, and other employee benefits are not detailed in the available posting and should be confirmed during the hiring process.

• Flexibility: Remote work arrangements are subject to departmental guidelines and business requirements; the organization reserves the right to change remote work status with notice.