Student Records Systems Analyst (PeopleSoft)

asu

Tempe (AZ)

On-site

USD 55,000 - 57,000

Full time

4 days ago
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Job summary

Arizona State University in Tempe is seeking a Business and Data Analyst 2 to implement system requirements and perform routine data analysis to ensure data management objectives within University Registrar Services are met.

The role focuses on PeopleSoft Student Records, SQL reporting, QA testing, and collaboration with technology teams to support class registration, grading, awarding degrees, and data quality across the SIS.

Qualifications

  • Bachelor's degree with 3 years of relevant experience or equivalent.
  • Experience with higher education administrative systems preferred.
  • Knowledge of PeopleSoft Campus Solutions or similar SIS.
  • Experience creating SQL queries and reporting.
  • Strong analytical, time management, and communication skills.
  • Ability to translate business needs into technical requirements.

Responsibilities

  • Applies PeopleSoft and Student Records expertise to meet registrar needs.
  • Maintains PeopleSoft configuration including student groups and service codes.
  • Schedules and maintains batch processes updating records.
  • Performs in-depth testing of Student Records changes.
  • Defines requirements, creates plans, tracks deadlines.
  • Develops queries and reports for enrollment and retention.
  • Collaborates with university technical staff to optimize applications.

Skills

PeopleSoft
SQL
QA testing
Project management
Documentation
Communication skills

Education

Bachelor's degree

Tools

PeopleSoft Campus Solutions
MS Office
MS Visio

Job description

Arizona State University in Tempe is seeking a Business and Data Analyst 2 to implement system requirements and perform routine data analysis to ensure data management objectives within University Registrar Services are met.

The role focuses on PeopleSoft Student Records, SQL reporting, QA testing, and collaboration with technology teams to support class registration, grading, awarding degrees, and data quality across the SIS.

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