Credit Data & Reporting Coordinator

Spectraforce Technologies, Inc.; Fairfield Township (OH); On-site; USD 28,000 - 39,000; Full time

Job summary

Spectraforce Technologies, Inc. in Highland Hills, OH seeks a Credit Representative to provide operational, administrative, and reporting support within an invoice factoring environment.

You will work closely with Credit Analysts and leadership to ensure information is accurate, current, and readily available for portfolio monitoring. The ideal candidate is highly organized, detail‑oriented, comfortable handling large datasets, and proficient in Microsoft Excel.

Qualifications

• Highly organized and detail-oriented.
• Comfortable working with large amounts of data.
• Proficient in Microsoft Excel and data reporting.

Responsibilities

• Credit Team & Administrative Support
• Provide day‑to‑day administrative and operational support to Credit Analysts and Credit leadership.
• Assist analysts with gathering, organizing, and maintaining client, debtor, accounts receivable, and credit‑related information.
• Maintain accurate documentation and departmental records.
• Assist with routine account maintenance and data updates within applicable systems and tracking tools.
• Coordinate and track requests, follow‑ups, and outstanding action items.
• Prepare information and supporting materials for recurring Credit, portfolio, debtor, and leadership reviews.
• Document meeting discussions, decisions, and action items when requested.
• Follow up with appropriate team members to help ensure outstanding items are completed.
• Support Credit leadership with special projects, data requests, research, and departmental initiatives.

Skills

Detail-oriented

Data organization

Excel proficiency

Tools

Microsoft Excel

Job description

Spectraforce Technologies, Inc. in Highland Hills, OH seeks a Credit Representative to provide operational, administrative, and reporting support within an invoice factoring environment.

You will work closely with Credit Analysts and leadership to ensure information is accurate, current, and readily available for portfolio monitoring. The ideal candidate is highly organized, detail‑oriented, comfortable handling large datasets, and proficient in Microsoft Excel.