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# Data Review Specialist - Remote

- **Company:** Pacc Foods, Inc.
- **Location:** United States (Remote available)
- **Experience:** Experienced
- **Salary:** $54,080.0 - $56,160.0
- **Contract:** Permanent contract
- **Skills:** Microsoft Excel, Data Analysis, Technical Data Management Systems, Data Management
- **Published:** August 7, 2026
- **Apply:** https://www.indeed.com/viewjob?jk=de7cde42996a1f74

## About the Role

* Proven experience in data review, data analysis, or a related role.
 * Strong attention to detail with excellent organizational skills.
 * Proficiency in Microsoft Excel and familiarity with data management software.
 * Ability to interpret and analyze complex data sets accurately.
 * Excellent communication skills, both written and verbal.
 * Self-motivated with the ability to work independently in a remote environment.
 * Reliable internet connection and a suitable home workspace., If you're passionate about quality, food safety, and making a difference in every product that leaves the production line, we'd love to hear from you.

Requirements

Employment Type: Full-time

Work Mode: Remote (Nationwide)

Required Education: High school or equivalent

Required Experience: Mid level(1) years

## Description

PACC Foods Inc is seeking a detail-oriented and diligent Remote Data Review Specialist to join our growing team. This role plays a critical part in ensuring the accuracy and integrity of our data, supporting informed decision-making across the organization. If you have a keen eye for detail and a passion for data quality, this is an exciting opportunity to contribute remotely to a dynamic and innovative company., * Conduct thorough reviews of datasets to ensure compliance with company standards and policies.

 * Verify data entries against source documents and flag inconsistencies for correction.
 * Collaborate with cross-functional teams to clarify data-related queries and implement solutions.
 * Document findings and maintain accurate logs of data review activities.
 * Assist in developing and updating data review protocols and best practices.
 * Utilize data management tools and software efficiently to support review tasks.
 * Meet deadlines consistently while maintaining high-quality standards.


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