<p>We are looking for a meticulous and detail-oriented Data Entry Clerk to join our team on a contract basis. This position is based in Mt Laurel, New Jersey, and will transition to a hybrid schedule once training is completed. The ideal candidate will excel in organizing and formatting data, ensuring accuracy, and identifying inconsistencies within client files.</p><p><br></p><p>Responsibilities:</p><p>• Organize and reformat client files received in various formats into standardized templates.</p><p>• Identify and correct missing data fields, character count issues, and discrepancies in physical addresses.</p><p>• Detect duplicate records and other potential errors within datasets.</p><p>• Assist in preparing mail merges with precision and efficiency.</p><p>• Support the creation and management of files for streamlined operations.</p><p>• Collaborate closely with team members to maintain data accuracy and consistency.</p><p>• Utilize advanced Excel skills to, managed and analyze files for inaccuracies.</p><p>• Ensure all data is formatted to meet company standards and requirements.</p><p>• Contribute to the overall cleanup and organization of data systems.</p>
<p>Robert Half is seeking a detail-oriented and motivated Data Entry Clerk to join our team. In this role, you will be responsible for accurately entering, updating, and maintaining various types of data in company databases and systems. The ideal candidate has a keen eye for detail, excellent organizational skills, and is comfortable working in a fast-paced environment.</p><p><br></p><p><strong>Key Responsibilities:</strong></p><ul><li>Accurately enter and update information in databases and spreadsheets.</li><li>Review data for accuracy and completeness, and make corrections as needed.</li><li>Maintain data confidentiality and comply with company policies.</li><li>Organize and file electronic and physical documents.</li><li>Assist with data cleanup, verification, and other administrative tasks as assigned.</li><li>Communicate effectively with team members to resolve discrepancies and ensure data integrity.</li></ul><p><br></p>
