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Lead Data AnalystTexas A&M University • Dallas, Texas, United States
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Lead Data Analyst

Texas A&M University
  • US
    Dallas, Texas, United States
  • US
    Dallas, Texas, United States
Jetzt Bewerben

Über

About Texas A&M AgriLife Texas A&M AgriLife is comprised of Texas A&M University System members: AgriLife Extension Service, AgriLife Research, College of Agriculture and Life Sciences, Forest Service, and Veterinary Medical Diagnostic Laboratory. With over 5,000 employees across Texas, AgriLife focuses on education, research, extension, and service to improve lives and the Texas economy. Position Information Job Title: Lead Data Analyst Agency: Texas A&M AgriLife Research Department Location: Dallas, Texas Job Type: Staff Job Summary The Lead Data Analyst serves as a technical lead on complex data projects, providing oversight for the application of technical standards and preparing reports for management and users. Responsibilities Provide leadership and strategic direction for data analysis activities across public health and nutrition research projects. 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. 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 techniques. Oversee the design and execution of statistical analysis plans, including power and sample size calculations, for diverse study designs such as RCTs, community-randomized trials, and longitudinal cohorts. 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 and ensure robust data governance and compliance with privacy and security policies. Develop quality control assessments to identify and resolve data issues, implement process improvements, and train team members on best practices. Oversee and ensure the quality of documentation for data workflows, cleaning, and analysis procedures, promoting reproducibility and transparency. Prepare or review reports, manuscripts, presentations, and visualizations of analytic findings, ensuring clarity, accuracy, and suitability for various audiences. Collaborate with principal investigators, multidisciplinary research teams, and external partners 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. Required Qualifications Bachelor’s degree in epidemiology, public health, biostatistics, nutrition, statistics, clinical research, or equivalent education and experience. At least six years of professional experience in data collection and analysis, including direct experience with statistical modeling and managing research datasets. Proficiency in statistical programming languages (R, SPSS, Stata, SAS), data visualization tools (Tableau, PowerBI), and database applications. Demonstrated experience leading the preparation of research manuscripts and securing grant funding. Excellent verbal and written communication skills with the ability to effectively communicate with faculty and staff. Detail‑oriented, organized, and able to prioritize work with minimal supervision. Ability to multi‑task and work cooperatively with others. Preferred Qualifications Master’s degree or Ph.D. in nutrition epidemiology, public health, nutrition, statistics, or related field. At least one year of related experience in the relevant field. Experience working with and accessing local, state, and national data sets (e.g., Texas health data, NHANES, WHI, Framingham Heart Study). Experience developing valid, reliable composite scoring and screening instruments (e.g., Life’s Simple 7, dietary screeners). Knowledge and understanding of the Land Grant University System mission and the Extension system. Salary and Benefits Salary: Compensation is commensurate with the candidate’s qualifications. Flexible Work Arrangements: flexible schedules and remote work options may be available depending on role and eligibility. 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. Ongoing professional development and training through Aspire, LinkedIn Learning, and internally developed programs. Equal Opportunity Statement Equal Opportunity/Veterans/Disability Employer.
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  • Dallas, Texas, United States

Sprachkenntnisse

  • English
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