Data and Visualization Analyst, Student Success (Data Analyst)
Georgia Institute of Technology
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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
Education
Tools
Job description
Georgia Tech prides itself on its technological resources, collaborations, high-quality student body, and its commitment to building an outstanding and diverse community of learning, discovery, and creation. We strongly encourage applicants whose values align with our institutional values, as outlined in our Strategic Plan. These values include academic excellence, diversity of thought and experience, inquiry and innovation, collaboration and community, and ethical behavior and stewardship. Georgia Tech has policies to promote a healthy work-life balance and is aware that attracting faculty may require meeting the needs of two careers.
Georgia Tech prides itself on its technological resources, collaborations, high-quality student body, and its commitment to building an outstanding and diverse community of learning, discovery, and creation. We strongly encourage applicants whose values align with our institutional values, as outlined in our Strategic Plan. These values include academic excellence, diversity of thought and experience, inquiry and innovation, collaboration and community, and ethical behavior and stewardship. Georgia Tech has policies to promote a healthy work-life balance and is aware that attracting faculty may require meeting the needs of two careers.
Georgia Tech is a top-ranked public research university situated in the heart of Atlanta, a diverse and vibrant city with numerous economic and cultural strengths. The Institute serves more than 45,000 students through top-ranked undergraduate, graduate, and executive programs in engineering, computing, science, business, design, and liberal arts. Georgia Tech's faculty attracted more than $1.4 billion in research awards this past year in fields ranging from biomedical technology to artificial intelligence, energy, sustainability, semiconductors, neuroscience, and national security. Georgia Tech ranks among the nation's top 20 universities for research and development spending and No. 1 among institutions without a medical school.
Georgia Tech's mission is to develop leaders who advance technology and improve the human condition. The Institute has nine key values that are foundational to everything we do:
- Students are our top priority.
- We strive for excellence.
- We thrive on diversity.
- We celebrate collaboration.
- We champion innovation.
- We safeguard freedom of inquiry and expression.
- We nurture the wellbeing of our community.
- We act ethically.
- We are responsible stewards.
Over the next decade, Georgia Tech will become an example of inclusive innovation, a leading technological research university of unmatched scale, relentlessly committed to serving the public good; breaking new ground in addressing the biggest local, national, and global challenges and opportunities of our time; making technology broadly accessible; and developing exceptional, principled leaders from all backgrounds ready to produce novel ideas and create solutions with real human impact.
Office of Undergraduate Education and Student Success: Under the leadership of the Vice Provost for Undergraduate Education and Student Success, the Office of Undergraduate Education and Student Success (OUESS) enriches undergraduate education and empowers students to succeed as leaders in progress and service. We engage in collaborative development and delivery of transformative learning experiences, and we continuously pursue initiatives to foster success for all students. To learn more, visit the Office of Undergraduate Education & Student Success website.
This position must be available to work standard GT business hours MF, 8-5 (or 7- 4 or 9-6), as well as some evenings and weekends based on student programs and with advanced notice. We are looking for hardworking professionals who are dedicated to undergraduate education and who make students the top priority to join our organization of talented, energetic, and creative team members.
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.
- Job Duty 1 - Collect, analyze, and interpret data from various sources, databases, and systems to extract insights, trends, and patterns that inform business decisions, strategies, and operations.
- Job Duty 2 - 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.
- Job Duty 3 - Perform other job-related duties as assigned.
- Job Duty 4 - Develop and maintain data models, queries, and reports using SQL, Python, R, or data analysis tools to perform data cleansing, transformation, and visualization tasks.
- Job Duty 5 - Identify data quality issues, anomalies, and discrepancies in datasets, conduct data validation, data profiling, and data integrity checks to ensure data accuracy and reliability.
- Job Duty 6 - Create data visualizations, dashboards, and data analytics reports to communicate data findings, trends, and key metrics to stakeholders, management, and decision-makers.
- Job Duty 7 - Conduct ad-hoc data analysis, exploratory data analysis, and statistical analysis to support decision-making processes, performance monitoring, and data-driven insights.
- Job Duty 8 - Perform data mining, predictive analytics, and machine learning tasks to uncover hidden patterns, predict outcomes, and drive data-driven decision-making in organizations.
- Job Duty 9 - Utilize data analytics tools, business intelligence platforms, and statistical software packages to conduct data analysis, data modeling, and data visualization tasks efficiently and accurately.
- Job Duty 10 - Stay current on data analytics trends, tools, and methodologies through training, certifications, and industry publications to enhance data analysis skills and knowledge.
Associate's Degree in a related discipline or equivalent combination of education and experience.
Two or more years of relevant experience.
Bachelor's Degree in Data Science, Business Analytics, Information Systems, Information Design of Applied Statistics + 5 years of experience or masters degree in a relevant discipline + 2 years of experience
Experience in Tableau and SQL
Experience in Higher Education or other non-profit industry
The application packet must include the following documents:
- Cover letter
- Resume / Curriculum Vita
- List of three professional references, including names, titles, and contact information (email, phone). References will not be contacted without prior notification.
- Proficiency in business intelligence tools (e.g., Tableau, Power BI, Looker, Qlik).
- Strong SQL querying and data blending skills across multiple data sources.
- Familiarity with data modeling concepts
- Working knowledge of basic statistics and descriptive analytics.
- Ability to prototype and iterate quickly on dashboards and reports.
- Understanding of performance optimization for dashboards and data models.
- Ability to identify meaningful trends and anomalies in complex datasets.
- Skill in translating raw data into narratives and actionable recommendations.
- Familiarity with KPI development and performance metric design.
- Awareness of data context limitations, bias, missingness, and caveats.
- Knowledge of information design principles (color theory, hierarchy, accessibility) and Human Centered Design
- Ability to tailor visualizations to different audiences (executive vs. operational).
- Experience designing for interactivity (filters, drilldowns, segmentation pathways).
- Commitment to clarity - removing noise and emphasizing insight.
- Strong verbal and written communication skills for non-technical audiences.
- Consultative approach ability to translate vague questions into data solutions.
- Skilled in requirements gathering and expectation-setting for data requests.
- Experience presenting data in meetings, briefings, or written reports.
- Lead end-to-end data visualization development projects, guiding stakeholder discussions on priorities, requirements, and underlying data to ensure accurate, impactful visualizations aligned with division-wide priorities.
- Lead management of incoming data requests, managing request log and fulfilling requests
- Support data collection and reporting for annual projects that include but are not limited to unit program review and annual reporting
- Sit on relevant division and Institute committees
- Provide support as needed on research instrument development, data collection and analyses for division assessment projects
- Ability to manage multiple concurrent data requests and reporting projects.
- Strong documentation habits tracking definitions, assumptions, and usage notes.
- Ownership of a data request log with status tracking and prioritization.
- Ability to develop repeatable reporting workflows and templates.
- Comfortable collaborating with technical roles (data engineers, IT staff) and non-technical ones (communications, leadership).
- Willingness to work with Marketing & Communications to support institutional storytelling.
- Ability to serve as a bridge between data producers and data consumers.
- Understanding of data privacy and confidentiality practices (FERPA-adjacent awareness).
- Respect for data governance standards and usage policies.
- Commitment to transparency and reproducibility in outputs.
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://www.usg.edu/policymanual/section8/C224/#p8.2.18_personnel_conduct.
Additionally, USG supports Freedom of Expression as stated in Board Policy 6.5 Freedom of Expression and Academic Freedom found on-line at https://www.usg.edu/policymanual/section6/C2653
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,
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