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About the Role

The Data Analyst assists with the management, cleaning, integration, and analysis of public health and nutrition research data. This role supports statistical analyses, maintains data integrity, documents analytical methods, and prepares reports for management and research teams.

Responsibilities

• Assist in the design, implementation, and management of data analysis workflows for research projects.
• Support the review and documentation of data structures.
• Implement established statistical models and methodologies as directed.
• Organize, format, and perform preliminary evaluation of research data.
• Support the preparation of statistical analysis plans, including power or sample size estimations.
• Maintain data collection systems, including data entry, form programming, and routine data cleaning.
• Acquire, clean, merge, and manage research data from secondary sources.
• Screen data for issues and document routine corrections.
• Document data management and analysis procedures clearly.
• Draft reports, organize tables and figures, and assemble written descriptions for manuscripts and presentations.
• Provide technical and administrative support for data sharing and compliance.
• Gather background information and assemble materials for grant proposals.
• Perform other related research and administrative duties as assigned.

Requirements

• Bachelor’s degree in a relevant field such as epidemiology, public health, biostatistics, nutrition, statistics, or clinical research.
• At least 2 years of professional experience in data collection and analysis.
• Direct experience with statistical modeling and research datasets.
• Proficiency in statistical programming languages and data visualization tools.
• Excellent verbal and written communication skills.
• Detail-oriented with the ability to organize tasks and prioritize work with minimal supervision.
• Ability to multitask and work cooperatively with others.
• Master’s degree or Ph.D. in nutrition epidemiology or related field preferred.
• Experience working with local, state, and national data sets preferred.
• Experience developing valid, reliable composite scoring and screening instruments preferred.
• Knowledge of the Land Grant University System and Extension system preferred.

Skills

• Statistical programming (R, SPSS, Stata, SAS)
• Data visualization (Tableau, Power BI)
• Database applications
• Data cleaning and management
• Statistical modeling
• Technical writing

Location

• Dallas, Texas

Work Type

• Staff
• Full-time
• Flexible work arrangements available
• Remote work options available for U.S.-based locations

Experience Level

• At least 2 years of professional experience

Education Level

• Bachelor’s degree
• Master’s degree or Ph.D. preferred

Salary/Compensations

• Commensurate with qualifications

Benefits

• Health, dental, vision, life, and long-term disability insurance
• 12–15 annual paid holidays
• Up to 8 hours/month sick leave
• At least 8 hours/month vacation
• Automatic enrollment in the Teacher Retirement System of Texas
• Employee Wellness Initiative
• Professional development and training through Aspire and LinkedIn Learning

About the Company

• Texas A&M AgriLife is the nation’s largest and most comprehensive agriculture program.
• Comprised of Texas A&M AgriLife Extension Service, Texas A&M AgriLife Research, College of Agriculture and Life Sciences, Texas A&M Forest Service, and Texas A&M Veterinary Medical Diagnostic Laboratory.
• Employs over 5,000 people with a presence in every Texas county.
• Focused on improving lives, environments, and the economy through education, research, extension, and service.

Equal Opportunity

• Equal Opportunity/Veterans/Disability Employer