Gift Operations & Data Integrity Specialist

Bethel University; Saint Paul (MN); On-site; USD 60,000 - 65,000; Full time

Job summary

Bethel University in Arden Hills, Minnesota, seeks a Gift Operations Specialist who will process gifts, maintain donor records, generate acknowledgments, and ensure tax-compliant receipts with accuracy and care.

You will work in Salesforce and other financial systems, collaborate with the Business Office and Advancement team, and look for efficiencies to improve data quality and reduce manual work.

Qualifications

• Bachelor's degree in accounting, finance, business, data analytics, or a related field—or equivalent experience.
• 1-2 years of professional experience in a CRM-driven environment such as fundraising, advancement services, donor relations, operations, or financial management.
• Experience with Salesforce (especially NPSP or Nonprofit Cloud) or comparable CRM.

Responsibilities

• Gift Management & Acknowledgement: process and record charitable contributions daily and generate timely tax-compliant receipts.
• Data Integrity & Reporting: monitor giving data for accuracy and assist with fundraising performance reporting.
• Financial Collaboration & Compliance: liaise with Business Office on fund setup, financial coding, reporting, and reconciliation.
• Process Analysis and Optimization: act as subject-matter expert for gift workflows in Salesforce and improve automation.
• Department and Organizational Support: support departmental needs and participate in university initiatives.

Skills

Data analytics

Attention to detail

Curiosity

Education

Bachelor's degree in accounting/finance/business/data analytics

Tools

Salesforce

Nonprofit Cloud (NPSP)

Job description

Bethel University in Arden Hills, Minnesota, seeks a Gift Operations Specialist who will process gifts, maintain donor records, generate acknowledgments, and ensure tax-compliant receipts with accuracy and care.

You will work in Salesforce and other financial systems, collaborate with the Business Office and Advancement team, and look for efficiencies to improve data quality and reduce manual work.