Senior Data Analyst | School of Medicine - Pediatrics, HemThrom

This position is listed on behalf of a partner company, which manages all applications and next steps. Our partner is looking for a Senior Data Analyst | School of Medicine – Pediatrics, HemThrom based in the United States.

Make a meaningful impact on pediatric healthcare by transforming complex clinical data into actionable insights that support better care delivery and patient outcomes. In this role, you will contribute to clinical efficiency and quality improvement initiatives focused on pediatric clotting and bleeding disorders. You will manage and analyze data from multiple sources, develop reliable reporting solutions, and build dashboards that help clinical and administrative teams monitor performance. Working closely with clinical leaders, IT specialists, and healthcare partners, you will help implement population health management tools and strengthen data quality across systems. Your work will support informed decision-making, consistent clinical processes, and more effective patient care. This opportunity is ideal for a detail-oriented data professional who combines technical expertise with analytical thinking and a commitment to healthcare improvement.

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.

How Jobgether works:

We use an AI-powered matching process to ensure your application is reviewed quickly, objectively, and fairly against the role's core requirements. Our system identifies the top-fitting candidates, and this shortlist is then shared directly with the hiring company. The final decision and next steps (interviews, assessments) are managed by their internal team.

We appreciate your interest and wish you the best!

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We may use artificial intelligence (AI) tools to support parts of the hiring process, such as reviewing applications, analyzing resumes, or assessing responses and identifying potential inconsistencies or verification signals in application materials based on available information. These tools assist our recruitment team but do not replace human judgment. Final hiring decisions are ultimately made by humans. If you would like more information about how your data is processed, please contact us.