Data Analyst Jobs

About The Position

Requirements

• Bachelor’s degree in a relevant field (e.g., epidemiology, public health, biostatistics, nutrition, statistics, clinical research) or equivalent combination of education and experience.
• At least 6 years of professional experience in data collection and analysis, including direct experience with statistical modeling and management of research datasets.
• Proficiency in statistical programming languages (e.g., R, SPSS, Stata, SAS), data visualization tools (e.g., Tableau, Power BI), and database applications.
• Demonstrated experience leading the preparation of research manuscripts and securing grant funding.
• Excellent verbal and written communication skills with ability to effectively communicate with faculty and staff.
• Detail oriented and ability to organize tasks and prioritize work with minimal supervision.
• Ability to multi-task and work cooperatively with others.

Nice To Haves

• Master’s degree or Ph.D. in nutrition epidemiology or related field (e.g., public health, nutrition, statistics, or relevant education and experience meeting job expectations).
• At least one year of related experience.
• Experience working with and accessing local, state and national data sets (e.g., Texas health data, NHANES, WHI, Framingham Heart Study, etc.).
• Experience developing valid, reliable composite scoring and screening instruments (e.g., Life’s Simple 7; dietary screeners; etc.).
• Knowledge and understanding of the mission and role of the Land Grant University System, including community-campus partnership and the Extension system.

Responsibilities

• Provide leadership and strategic direction for data analysis activities across a portfolio of public health and nutrition research projects, ensuring alignment with organizational and research goals.
• Supervise, mentor, and support data analysts and junior statisticians; delegate tasks, facilitate professional development, and provide technical guidance and quality assurance.
• Oversee the design, implementation, and continual optimization of data analysis workflows, ensuring best practices are established and maintained across projects.
• Review and document data structures to support both current and future research objectives at the program and institutional level.
• Lead the development and application of advanced statistical models and methodologies, including but not limited to: multilevel modeling, mixed models for clustered randomized trials, longitudinal data analysis, and other advanced statistical techniques for complex datasets.
• Oversee the design and execution of statistical analysis plans, including power and sample size calculations, for diverse study designs (e.g., randomized controlled trials, community-randomized trials, longitudinal cohorts) and ensure these meet funding requirements and research objectives.
• Supervise the establishment, maintenance, and improvement of data collection systems; direct data collection and quality assurance activities, including programming forms, monitoring data integrity, and developing data cleaning procedures.
• Coordinate acquisition, cleaning, merging, and management of data from multiple secondary sources (local, state, and national databases) and ensure robust data governance and compliance with relevant privacy and security policies.
• Develop quality control assessments to identify and resolve data issues, implement process improvements, and train team members on best practices in data management and cleaning.
• Oversee and ensure the quality of documentation for data workflows, cleaning, and analysis procedures, and ensure reproducibility and transparency across all stages of the analytic process.
• Prepare or review reports, manuscripts, presentations, and visualizations of analytic findings for internal and external use; ensure clarity, accuracy, and suitability for various audiences.
• Collaborate with principal investigators, multidisciplinary research teams, and external partners (including funding agencies and data stewards) to interpret findings, advise on data strategy, and translate results into actionable insights.
• Lead the development of statistical and analytic sections of grant proposals, supporting funding initiatives and program growth.
• Participate in strategic planning for the data analytics function and represent the data analysis team in broader organizational initiatives.
• Performs other duties as assigned.

Benefits

• Health, dental, vision, life and long-term disability insurance (AgriLife contributes to premiums)
• 12–15 annual paid holidays
• Up to 8 hours/month sick leave and at least 8 hours/month vacation
• Automatic enrollment in the Teacher Retirement System of Texas
• Employee Wellness Initiative
• Access to ongoing professional development and training through Aspire, LinkedIn Learning, and internally developed programs