Credit Data & Reporting Specialist (6‑Month Contract)

Spectraforce Technologies, Inc.; Ohio; On-site; USD 25,000 - 39,000; Full time

Job summary

Spectraforce Technologies, Inc. is seeking a Credit Representative in Highland Hills, OH for a 6-month term. The role provides administrative, operational, and reporting support to the Credit Department within an invoice factoring environment.

The ideal candidate is highly organized, detail-oriented, and proficient in Microsoft Excel, with an aptitude for working with large data sets and a focus on accurate information for portfolio monitoring and risk management.

Qualifications

• Highly organized and detail-oriented candidate.
• Proficient in Microsoft Excel and handling large data sets.
• Interest in developing credit and risk-management skills.

Responsibilities

• Provide day-to-day administrative and operational support to Credit Analysts and Credit leadership.
• Gather, organize, and maintain 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 for recurring Credit, portfolio, debtor, and leadership reviews.
• Document meeting discussions, decisions, and action items when requested.
• Follow up with team members to ensure items are completed.
• Support leadership with special projects, data requests, and departmental initiatives.

Skills

Excel

Data analysis

Attention to detail

Tools

Microsoft Excel

Job description

Spectraforce Technologies, Inc. is seeking a Credit Representative in Highland Hills, OH for a 6-month term. The role provides administrative, operational, and reporting support to the Credit Department within an invoice factoring environment.

The ideal candidate is highly organized, detail-oriented, and proficient in Microsoft Excel, with an aptitude for working with large data sets and a focus on accurate information for portfolio monitoring and risk management.