Full-Time
Lead Data Analyst
Texas A&M University System
Texas public university system
No salary listed
H1B Sponsorship Available
Dallas, TX, USA
In Person
Bachelor's, Master's, PhD
Category
 Data & Analytics |
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Required Skills
Power BI
SAS
Data Visualization
R
Tableau
Stata
Data Governance
Data Analysis
Requirements
- A bachelor's degree in a relevant field such as epidemiology, public health, biostatistics, nutrition, statistics, or clinical research, or an 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 such as R, SPSS, Stata, or SAS; data visualization tools such as Tableau or Power BI; and database applications.
- Demonstrated experience leading the preparation of research manuscripts and securing grant funding.
- Ability to communicate effectively with faculty and staff verbally and in writing.
- Ability to organize tasks and prioritize work with minimal supervision.
- Ability to multitask and work cooperatively with others.
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 current and future research objectives at the program and institutional level.
- Lead the development and application of advanced statistical models and methodologies, including 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 randomized controlled trials, community-randomized trials, longitudinal cohorts, and other study designs, ensuring they 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 local, state, and national secondary sources, ensuring 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, ensuring 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, ensuring clarity, accuracy, and suitability for various audiences.
- Collaborate with principal investigators, multidisciplinary research teams, external partners, 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.
- Perform other duties as assigned.
Desired Qualifications
- A master's degree or Ph.D. in nutrition epidemiology or a related field such as public health, nutrition, statistics, or equivalent education and experience meeting job expectations.
- At least one year of related experience.
- Experience working with and accessing local, state, and national datasets, including Texas health data, NHANES, WHI, and the Framingham Heart Study.
- Experience developing valid and reliable composite scoring and screening instruments, such as Life's Simple 7 and dietary screeners.
- Knowledge and understanding of the mission and role of the Land Grant University System, including community-campus partnerships and the Extension system.
Texas A&M University System is a statewide public university system combining higher education, research, and public-service agencies. The system coordinates universities and state agencies that deliver teaching, research, extension, engineering, health, and community programs. It serves students, faculty, researchers, public agencies, industries, and communities throughout Texas. Its operating model centers on autonomous member institutions connected through system governance, shared services, public funding, and statewide missions. Teams work across instruction, research, healthcare, extension, engineering, technology, administration, facilities, and public service. Teams support coordinated daily delivery.
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