Data Analyst

Since our founding in 1785, the University of Georgia has operated as Georgia's oldest, most comprehensive, and most diversified institution of higher education (). The proof is in our more than 235 years of academic and professional achievements and our continual commitment to higher education. UGA is currently ranked among the top 20 public universities in U.S. News & World Report. The University's main campus is located in Athens, approximately 65 miles northeast of Atlanta, with extended campuses in Atlanta, Griffin, Gwinnett, and Tifton. UGA employs approximately 3,000 faculty and more than 7,700 full-time staff. The University's enrollment exceeds 40,000 students including over 30,000 undergraduates and over 10,000 graduate and professional students. Academic programs reside in 18 schools and colleges, as well as a medical partnership with Augusta University housed on the UGA Health Sciences Campus in Athens.

The School of Social Work provides professional education to over 600 students through its CSWE- accredited B.S.W. and M.S.W. programs, Ph.D. program, as well as the Master of Arts in Nonprofit Leadership and Management program. The School of Social Work also offers joint M.S.W. degree programs with the School of Law, the College of Public Health, and the Emory University Candler School of Theology. The School of Social Work is nationally and internationally known for excellence in research, teaching, public service, international programs, and a commitment to social and economic justice. The School of Social Work is committed to hiring diverse faculty who work towards alleviating disparities through scholarship/research, teaching, public service and/or administrative responsibilities. The successful candidate will be expected to share our commitment to diversity, equity, and inclusion.

Monday-Friday 8:00 AM - 5:00 PM

Required documents include the following:
Resume/CV
Cover Letter
List of References with Contact Information

The University of Georgia is an Equal Opportunity/Affirmative Action employer. All qualified applicants will receive consideration for employment without regard to race, color, religion, sex, national origin, ethnicity, age, genetic information, disability, gender identity, sexual orientation or protected veteran status. Persons needing accommodations or assistance with the accessibility of materials related to this search are encouraged to contact Central HR (hrweb@uga.edu).

Requires at least a baccalaureate degree in the field. Please contact your Human Resources office for an evaluation of education/experience in lieu of the required minimum qualifications.

Has the capability to implement hidden populations research methods (e.g., Respondent Driven Sampling, Network Scale-Up Method, Multiple Systems Estimation; link-tracing sampling; probability-based sampling);

The Data Analyst will work within the Center on Human Trafficking & Outreach (CenHTRO) and report to the CenHTRO Director to provide statistical support to research on human trafficking prevalence estimation, correlates of human trafficking, and solutions to human trafficking. The Data Analyst will assist in the development of scalable quantitative methodologies to examine the problem of human trafficking. This incumbent will also work collaboratively across the project team, located in multiple countries including the USA, UK, Sierra Leone, Senegal, Zambia, and Malawi; to develop and utilize scalable and robust quantitative research methods. The CenHTRO Director may delegate reporting duties of this position to other staff or faculty within CenHTRO.

Be capable of implementing hidden populations research methods (e.g., Respondent Driven Sampling, Network Scale-Up Method, Multiple Systems Estimation; link-tracing sampling; probability-based sampling), regression and Bayesian models under the guidance of faculty members.

Working at a computer for long periods of time.

Conduct data analytic activities leveraging statistical models, machine learning models, simulation, optimization, and other techniques to deliver insights into the research findings.

Work with project team in efforts to develop scalable and robust quantitative research methods. Work with large data sets. Design, implement, and interpret the results of new experiments and studies. Refine existing data sources where needed.

Design and write reports based on data analysis.