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# PT Data Analyst

- **Company:** Golden Gate University
- **Location:** United States (Remote available)
- **Salary:** $52,000.0
- **Contract:** Permanent contract
- **Skills:** Microsoft Word, Microsoft Excel, Data Analysis, Data Retrieval, Python (Programming Language), Pivot Tables, Microsoft PowerPoint, SQL Databases, Tableau (Software), Pandas
- **Published:** August 25, 2026
- **Apply:** https://www.indeed.com/viewjob?jk=7c2a68053ed89e7a

## About the Role

* Strong proficiency in Python, including Pandas, for analyzing, validating, and categorizing datasets with possible redundancies and inconsistencies
 * Ability to programmatically validate data reporting results and flag potential inconsistencies statistically
 * Solid experience with MS Excel, pivot tables, built-in functions, and charting
 * Experience using Tableau to implement visualized and interactive reporting dashboards
 * Ability to write and interpret complex SQL for data retrieval
 * Ability to abstract information requirements from real-world data requests
 * Knowledge of using PowerPoint and Word to create data reports
 * Ability to multitask, set priorities, and work efficiently
 * Excellent communication
 * At least 1 year of work experience in data analysis

## Description

The Data Analyst position is a support position for institutional research, working in the domains of institutional reporting, business analytics, and gathering, analyzing, and validating data. The primary responsibility of the Data Analyst is to provide accurate and impactful analytic reporting that will help reveal actionable next steps and guide tactics and strategy at the university

This position requires the ability to fully understand complex objectives and goals, and measurement frameworks that help ensure correct data reporting., The PT Data Analyst will:

 * Work on analysis of current and historical data on students, staff, enrollment, retention, and graduation.
 * Take on a pivotal role in creating enrollment, retention, and graduation dashboards for Executive Leadership, deans, program directors, faculty, and other staff.
 * Assist in federal, state, and other institutional reporting.
 * Assist in validating data reports and correcting potential inconsistencies statistically.
 * Assist in predictive modeling and other types of ad-hoc data analysis projects.


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