Data Visualization & Insights Analyst – Student Success

Georgia Institute of Technology; Atlanta (GA); On-site; USD 70,000 - 110,000; Full time

Job summary

Georgia Tech, a top-ranked public research university in Atlanta, seeks a data analyst to transform data into insights supporting decision-making across departments. You will build models, run analyses, and deliver dashboards that guide strategic initiatives.

Ideal candidates have strong SQL, Python, and visualization skills (Tableau/Power BI), plus experience in higher education data environments. This role requires collaboration with faculty, staff, and IT teams to drive data-driven outcomes.

Qualifications

• Associate's Degree in a related discipline or equivalent.
• Two or more years of relevant experience.
• Bachelor's or higher in Data Science or related field preferred; Master's with experience also acceptable.
• Experience with Tableau and SQL is a strong plus.

Responsibilities

• Collect, analyze, and interpret data from multiple sources to identify trends and insights.
• Collaborate with stakeholders to define analytics requirements and data-driven solutions.
• Develop and maintain data models, queries, and dashboards.
• Create visualizations and reports to communicate findings to leadership and teams.
• Stay current on analytics tools and techniques to improve data-driven decision making.

Skills

SQL

Python

R

Tableau

Power BI

Looker

Qlik

Education

Associate's Degree in a related discipline

Bachelor's Degree in Data Science or related field

Master's Degree in related field

Tools

Tableau

Power BI

Looker

Qlik

Job description

Georgia Tech, a top-ranked public research university in Atlanta, seeks a data analyst to transform data into insights supporting decision-making across departments. You will build models, run analyses, and deliver dashboards that guide strategic initiatives.

Ideal candidates have strong SQL, Python, and visualization skills (Tableau/Power BI), plus experience in higher education data environments. This role requires collaboration with faculty, staff, and IT teams to drive data-driven outcomes.