Data Integrity Coordinator – CRM & Giving Systems

University of San Diego; San Diego (CA); On-site; USD 43,000 - 47,000; Full time

Benefits offered by this job

Benefits package

On-campus Fitness Centers

Job summary

The University of San Diego seeks a Database Coordinator in University Advancement to maintain demographic data in AQ/Salesforce and GiveCampus, ensure data integrity, and support donor relations. This role will coordinate data flows, audits, and quality controls to enable effective communications with alumni, parents, and foundations.

Responsibilities include managing imports/exports with Talkdesk and Paciolan, researching data accuracy, and shaping data-entry standards across departments.

Qualifications

• Two years’ experience in database management and/or related fields.
• Excellent written and oral communication skills.
• Superior problem resolution and analytical skills.
• Highly proficient with Excel and CRM platforms.
• Ability to take initiative and work with minimal supervision.

Responsibilities

• Maintain all aspects of demographic information in AQ/Salesforce and GiveCampus.
• Ensure data integrity and accuracy; oversee data quality across systems.
• Oversee imports/exports of data to Talkdesk, GiveCampus, Paciolan and other sources.
• Research constituent data using various tools to ensure data integrity.
• Assist in developing data-entry policies and guidelines.

Skills

Data entry

CRM platforms

Excel

Analytical skills

Communication

Education

High school diploma or equivalent

Tools

AQ/Salesforce

GiveCampus

Paciolan

Banner

Talkdesk

Job description

The University of San Diego seeks a Database Coordinator in University Advancement to maintain demographic data in AQ/Salesforce and GiveCampus, ensure data integrity, and support donor relations. This role will coordinate data flows, audits, and quality controls to enable effective communications with alumni, parents, and foundations.

Responsibilities include managing imports/exports with Talkdesk and Paciolan, researching data accuracy, and shaping data-entry standards across departments.