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# Remote Data Processing Analyst Full-Time / Part-Time

- **Company:** Qureos Inc
- **Location:** Cleveland, OH, United States (Remote available)
- **Contract:** Permanent contract
- **Skills:** Microsoft Word, Microsoft Excel, Data Analysis, Big Data, Microsoft Outlook, Spreadsheets, Databases, Data Integrity, Data Processing, Information Technology, Data Analytics, Gsuite
- **Published:** July 11, 2026
- **Apply:** https://www.indeed.com/viewjob?jk=efcad85a9e9c0e84

## About the Role

* High school diploma or equivalent required; Associate's or Bachelor's degree in Business, Information Technology, Data Analytics, or a related field is preferred.
 * Previous experience in data processing, data entry, administrative support, or data analysis is preferred.
 * Strong computer skills, including proficiency in Microsoft Excel, Word, Outlook, and Google Workspace.
 * Excellent analytical, organizational, and problem-solving skills.
 * High attention to detail with exceptional accuracy.
 * Ability to work independently in a remote environment.
 * Strong written and verbal communication skills.
 * Reliable high-speed internet connection and a dedicated home office.

## Description

We are seeking a detail-oriented and analytical Remote Data Processing Analyst to join our team. In this work-from-home role, you will collect, process, validate, and analyze data to support business operations and decision-making. The ideal candidate has strong organizational skills, excellent attention to detail, and the ability to work independently while maintaining data accuracy and confidentiality., * Process, verify, and maintain large volumes of data with a high level of accuracy.

 * Review incoming data for completeness, consistency, and quality.
 * Identify and resolve data discrepancies or errors.
 * Analyze data trends and prepare reports for management.
 * Update and maintain databases, spreadsheets, and internal systems.
 * Perform regular quality assurance checks to ensure data integrity.
 * Generate routine and ad hoc reports to support business decisions.
 * Collaborate with cross-functional teams to improve data workflows.
 * Maintain confidentiality and comply with company data security policies.
 * Meet productivity and accuracy goals while adhering to deadlines.


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