Georgia State University

Audit Data Analyst

Georgia State University Atlanta, Georgia, United States

Higher Education · 5,001-10,000 employees

Oct 13 Closes in 4d
data-analyst Mid (2-5 yrs) Full-time United States
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About the role

The Data Analyst is responsible for supporting data collection, preparation, analysis, and reporting functions to aid business decision-making. They will also maintain dashboards, monitor data quality, and document data methodologies in accordance with internal standards.

What they look for

Data analysis Data collection Data cleaning Data visualization SQL Power BI Tableau R Python Relational database management Statistics Cloud services Microsoft Azure Amazon Web Services Reporting Data governance

Requirements

Candidates must have a bachelor's degree and at least two years of related experience. Proficiency in SQL, BI tools, and programming languages like R or Python is preferred.

Benefits

Health insurance Dental insurance Vision insurance Tuition assistance Retirement plan

Full description

Data Analyst, Associate

Student Success

Student Engagement

These are exciting times in the Student Engagement Department. We are growing and we are thrilled that you are interested in being a part of our team. We are surrounded by individuals empowered to use their expertise and talents to achieve our mission to pursue excellence. Are you ready for us? Are you seeking an opportunity with purpose and direction? If you are, we have the perfect opportunity for you! We hire great people from a wide variety of educational, career, and personal backgrounds, not just because it is the right thing to do, but because it makes us a stronger team.

The Student Engagement Department is seeking a Data Analyst, Associate to join the already awesome team taking the department to the next level of excellence! They are Responsible for supporting data collection, preparation, analysis, and reporting functions. This role works under direct supervision and is focused on executing routine analytical tasks that support business decision making, operational efficiency, and data integrity.

WHAT MAKES Recreational Services A GREAT PLACE?

  • Generous benefits, including health, dental, vision, tuition assistance, retirement, etc.
  • A knowledge-sharing organization that works collaboratively.
  • Professional development opportunity and mentorship.
  • A rapidly growing center within an academic setting

HERE IS WHAT YOU WILL DO

  • Gathers and compiles data from internal and external sources to support reporting and analysis needs.
  • Performs data cleaning, transformation, and validation activities to ensure accuracy and usability.
  • Assists with the development and maintenance of recurring reports, dashboards, and visualizations.
  • Conducts exploratory data analysis to identify patterns, trends, or inconsistencies.
  • Follows documented data governance, privacy, and quality standards.
  • Supports senior team members in the preparation of presentations, briefings, or summaries based on analytical findings.
  • Documents data processes, sources, and methodologies in accordance with internal standards.
  • Helps monitor data quality and work with relevant teams to correct identified issues.
  • Participates in team meetings and contributes to the ongoing improvement of data practices.
  • Performs other duties as assigned.

Minimum Requirements:

  • Bachelor’s degree and two years of related experience, or a combination of education and related experience.

Preferred Hiring Requirements:

  • Knowledge of basic data structures, data analysis, and visualization techniques.
  • Knowledge of and experience using SQL for data retrieval • Knowledge of business intelligence (BI) tools such as Power BI or Tableau, with ability to create and maintain basic dashboards and reports.
  • Knowledge of and experience with programming and scripting languages. (e.g. R or Python).
  • Knowledge of and experience with relational database management systems (e.g. Oracle or SQL Server).
  • Knowledge of statistics and experience using statistical packages for analyzing datasets. • Knowledge and experience with cloud service providers (e.g. Microsoft Azure or Amazon Web Services).
  • Analytical skills with the ability to collect, organize, analyze, and disseminate significant amounts of information with attention to detail and accuracy. Adept at queries, report writing and presenting findings.

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