Senior Medical Education Data Analyst - School of Medicine, Information Tech Services

Job Number
Job Type
Regular Full-Time
School Of Medicine
SOM: Information Tech Service
This position may involve the following Health and Safety issues:
Not Applicable
Job Category
Information Technology
Campus Location (For Posting) : City
Location : Name
Emory Campus-Clifton Corridor

Discover Your Career at Emory University

Emory University is a leading research university that fosters excellence and attracts world-class talent to innovate today and prepare leaders for the future. We welcome candidates who can contribute to the diversity and excellence of our academic community.


The Emory School of Medicine is seeking a highly skilled and motivated Education Data Systems Analyst to join a group dedicated to providing outstanding medical education to students in six degree programs. The medical education faculty and staff are committed to transforming medical curricula to meet the needs of the 21st century care-giver. Data retrieval and management are a core requirement for affording this transformation. This role is pivotal in our efforts to integrate, analyze, and leverage data from multiple sources to inform educational quality improvements, ensure accreditation compliance, and drive innovation.


The Sr. Data Analyst position is a part of the SOMITS - Curricular Support team and will be embedded in the Office of Education Transformation and Innovation. The position has a dual reporting role to the Sr. Executive Leader for Education and Transformation and SOMITS-CS.


A successful candidate will serve as a knowledge translator who can work with internal and external vendors to synthesize different types of academic data from multiple sources into high-level reports and dashboards that provide actionable insights for education leadership.


1. Data Integration and Management:

  • Work with internal and external tech partners to integrate data from various sources, including OASIS, AMP, LearningSpace, and others, into a unified database.
  • Ensure data accuracy, consistency, and security.
  • Develop and maintain efficient data collection and storage processes.

2. Data Analysis and Reporting:

  • Perform high-level data analysis to generate actionable insights related to learner outcomes, curriculum effectiveness, resource allocation, and teaching impact.
  • Create customized reports and dashboards to present educational data in a user-friendly and informative manner.
  • Provide data-driven recommendations to support educational continuous quality improvement (CQI) efforts.

3. Educational Quality Improvement:

  • Collaborate with educators and educational administrators to identify areas of improvement.
  • Assist in the longitudinal monitoring of learner outcomes, enabling data-driven interventions to enhance education quality.
  • Compare curricular inputs (teaching) with learner outcomes (learning) to identify correlations and areas for enhancement.

4. Resource Allocation:

  • Assist in allocating resources to curricular programs based on data analysis and educational priorities.
  • Analyze resource utilization to optimize the allocation of faculty, facilities, and other resources.

5. Faculty Feedback and Support:

  • Provide faculty members with data-driven insights into the impact of their teaching on learner outcomes.
  • Collaborate with faculty to design and implement evidence-based teaching strategies.

6. Program Design and Modification:

  • Use data to inform the rational design or modification of education programs within EUSOM.
  • Collaborate with educational leaders to align curricular goals with desired learner outcomes.



  • Supports the acquisition, management and analysis of data from multiple sites or sources.
  • Supports the configuration and management of technology solutions supporting the receipt, transformation, validation and storage of data.
  • Ensures that the uses of data through reports and queries are appropriate.
  • Serves as an organizational consultant on matters relating to databases by providing expertise to assist users in meeting their needs.
  • Develops automated quality control procedures to assess quality of data and provides reports to data owners.
  • Works effectively within a group setting in areas of design of data collection instruments, database management, analysis of data, and creation of reports and dashboards.
  • Develops and performs appropriate analyses.
  • Provides explanations of analysis methods, assumptions made, and assists in interpretation of results and implications therein.
  • Documents methods and results through development and maintenance of standard documentation artifacts including data dictionaries, standard operating procedures and analysis methodology descriptions.
  • Works with onsite or field-based counterparts to coordinate consistent implementation of data quality control measures and provision of access to the central data repositories.
  • Performs related responsibilities as assigned.


  • A bachelor's degree in computer science or a related field, and three years of experience in processes and standards related to data, OR an equivalent combination of education, training, and experience.
  • Experience with relational database management systems such as, Oracle, Microsoft SQL Server, MySQL preferred.
  • Experience with statistical packages such as, SAS, SPSS, R preferred.


  • Bachelor's degree (or higher) in a data-related field, with a preference for candidates with a strong educational or health sciences education background.
  • Possess general knowledge of computer programming, database development / management, and concepts informing the use and development of data dashboards / reporting tools, artificial intelligence, and machine learning.
  • Familiarity with medical education-related accrediting bodies, compliance, and education processes pertaining to health sciences education.
  • Excellent organizational, communication, listening, and collaboration skills.


NOTE: This role will be granted the opportunity to work from home regularly but must be able to commute to Emory University on a flexible weekly schedule based upon business needs.  Schedule is based on agreed upon guidelines of department. This role requires residency in the state of GA. Emory reserves the right to change remote work status with notice to employee. 



Emory Supports a Diverse and Inclusive Culture

Emory University is dedicated to providing equal opportunities and equal access to all individuals regardless of race, color, religion, ethnic or national origin, gender, genetic information, age, disability, sexual orientation, gender identity, gender expression, and veteran's status. Emory University does not discriminate in admissions, educational programs, or employment on the basis of any factor stated above or prohibited under applicable law. Students, faculty, and staff are assured of participation in University programs and in the use of facilities without such discrimination. Emory University complies with Executive Order 11246, as amended, Section 503 of the Rehabilitation Act of 1973, the Vietnam Era Veteran's Readjustment Assistance Act, and applicable executive orders, federal and state regulations regarding nondiscrimination, equal opportunity and affirmative action. Emory University is committed to achieving a diverse workforce through application of its affirmative action, equal opportunity and nondiscrimination policy in all aspects of employment including recruitment, hiring, promotions, transfers, discipline, terminations, wage and salary administration, benefits, and training. Inquiries regarding this policy should be directed to the Emory University Department of Equity and Inclusion, 201 Dowman Drive, Administration Building, Atlanta, GA 30322.
Emory University is committed to providing reasonable accommodations to qualified individuals with disabilities upon request. To request this document in an alternate format or to request a reasonable accommodation, please contact the Department of Accessibility Services at 404-727-9877 (V) | 404-712-2049 (TDD). Please note that one week advance notice is preferred.


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