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Data Entry Representative (Remote)

remoteRemote in US

USD 22–32 per hour

Full job description

Job Summary We are seeking an experienced and detail-oriented Mid-Level Data Entry Representative to maintain the accuracy and integrity of our organizational databases and information systems. In this role, you will process high volumes of complex data, reconcile discrepancies against source documents, utilize AI-assisted validation or automated capture tools, and support cross-functional teams with reporting and record retrieval. Key Responsibilities • Data Processing & Entry: Input, update, and manage structured information across company databases, spreadsheets, CRM, and ERP systems with high speed and precision. • Verification & Audit: Cross-reference incoming data against physical or digital source documents to detect and resolve errors, duplicates, or missing information. • Discrepancy Resolution: Investigate complex data anomalies, flag systematic errors, and coordinate with internal departments or vendors to clear up ambiguous records. • Technology & Automation Use: Apply automated data capture software and AI-assisted validation tools to streamline ingestion workflows. • Reporting & Maintenance: Generate recurring operational reports, organize digital and physical archive files, and maintain strict adherence to data confidentiality and security protocols. • Process Support: Train or guide entry-level clerks and assist management with special data-migration or database-cleanup projects. Required Qualifications & Skills • Education: High school diploma or equivalent; associate’s degree or relevant administrative certification is a plus. • Experience: 2+ years of dedicated experience in data entry, database management, or administrative operations. • Typing & Technical Speed: Proven touch-typing speed (typically 50–60+ WPM) with high error-free accuracy. • Software Proficiency: Strong command of Microsoft Office Suite (Excel, Word), Google Workspace, and familiarity with database tools, CRM platforms, or ERP systems (e.g., SAP, QuickBooks). • Attention to Detail: Exceptional analytical and organizational skills with a rigorous commitment to data integrity. • Communication & Discretion: Ability to communicate clearly with team members and handle sensitive or confidential information responsibly.

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