Data Analyst; Professional

Job Summary

Data Analysts analyze data, interpret trends and patterns, and provide insights to support decision‑making processes. They develop data models, perform data mining and statistical analysis, and collaborate with stakeholders to optimize data‑driven strategies.

• Collect, analyze, and interpret data from various sources, databases, and systems to extract insights, trends, and patterns that inform business decisions, strategies, and operations.
• Develop and maintain data models, queries, and reports using SQL, Python, R, or data analysis tools to perform data cleansing, transformation, and visualization tasks.
• Identify data quality issues, anomalies, and discrepancies in datasets, conduct data validation, data profiling, and data integrity checks to ensure data accuracy and reliability.
• Create data visualizations, dashboards, and data analytics reports to communicate data findings, trends, and key metrics to stakeholders, management, and decision‑makers.
• Conduct ad‑hoc data analysis, exploratory data analysis, and statistical analysis to support decision‑making processes, performance monitoring, and data‑driven insights.
• Perform data mining, predictive analytics, and machine learning tasks to uncover hidden patterns, predict outcomes, and drive data‑driven decision‑making in organizations.
• Utilize data analytics tools, business intelligence platforms, and statistical software packages to conduct data analysis, data modeling, and data visualization tasks efficiently and accurately.
• Stay current on data analytics trends, tools, and methodologies through training, certifications, and industry publications to enhance data analysis skills and knowledge.
• Collaborate with business users, data scientists, and Information Technology teams to define data requirements, analytics requirements, and data‑driven solutions for business problems and opportunities.
• Perform other job‑related duties as assigned.

• Associate’s Degree in a related discipline or equivalent combination of education and experience.
• No prior relevant work experience required.

• Preferred Certifications, Licenses or Permits:
  Student Success Analytics, SAS, Excel, certifications, or other data‑related skills.
• Knowledge of college student development theory and application of specialized skills within a university or government agency environment.
• Bachelor’s Degree in a related discipline or equivalent.

• Proficient in using Excel, Tableau, Qualtrics, SPSS, Pyramid, Power BI, etc.
• Familiarity with applicable Institute, state, and federal laws and regulations regarding data storage, preservation, and security; the protection of human subject data, and adherence to Ethical Institute standards.
• Demonstrated working knowledge of statistical software.
• Knowledge of data analysis, including the nature of the data to be analyzed, the relation of the data to the GT population, and the ability to employ predictive analytics to anticipate future trends and/or needs.

The University System of Georgia is comprised of our 26 institutions of higher education and learning as well as the System Office. Our USG Statement of Core Values are Integrity, Excellence, Accountability, and Respect. These values serve as the foundation for all that we do as an organization, and each USG community member is responsible for demonstrating and upholding these standards.

More details on the USG Statement of Core Values and Code of Conduct are available in USG Board Policy 8.2.18.1.2 and can be found on‑line at https://(Use the "Apply for this Job" box below)..

Additionally, USG supports Freedom of Expression as stated in Board Policy 6.5 Freedom of Expression and Academic Freedom found on‑line at https://.

The Georgia Institute of Technology (Georgia Tech) is an Equal Employment Opportunity Employer. The Institute is committed to maintaining a fair and respectful environment for all. To that end, and in accordance with federal and state law, Board of Regents policy, and Institute policy, Georgia Tech…