Entry Level Data Entry Clerk - Part Time (100% Remote)

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Written by AI from the job title and company, not by Talent Sphere Staffing, so some details may not match this job. The employer's own page has the real description.

Job Overview

Talent Sphere Staffing is seeking a dedicated and detail-oriented Entry Level Data Entry Clerk to join our team in a part-time capacity. This 100% remote position involves inputting, updating, and maintaining data in various databases and systems. The candidate will play a crucial role in ensuring the accuracy and integrity of data, while also supporting the overall administrative functions of the organization. The ideal candidate will exhibit strong attention to detail and be able to work independently in a fast-paced environment.

Job Responsibilities

• Accurately enter and update data in company databases and systems.
• Verify the accuracy of data entered by cross-referencing with source documents.
• Maintain organized documentation and records for easy retrieval.
• Assist in data cleanup efforts to ensure quality and consistency.
• Respond to data inquiries and provide support as needed.
• Complete additional administrative tasks as requested by supervisors.

Qualifications

• High school diploma or equivalent required; additional education in data management or a related field is a plus.
• Proficiency in using Microsoft Office Suite (Excel, Word, Outlook).
• Strong typing skills with a high degree of accuracy.
• Excellent attention to detail and organizational skills.
• Ability to work independently and manage time effectively.
• Familiarity with data entry software or systems is desirable.

Technologies & Tools

The Entry Level Data Entry Clerk will primarily utilize Microsoft Office Suite, specifically Excel for data manipulation, as well as any in-house databases and data entry software used by Talent Sphere Staffing. Familiarity with cloud-based tools and collaborative platforms such as Google Drive, Dropbox, and Microsoft Teams may also be beneficial for seamless communication and data sharing.

Ideal Candidates

Ideal candidates for this position will possess a strong willingness to learn and adapt to new technologies and processes. They will demonstrate an analytical mindset, enabling them to identify discrepancies in data while coordinating efficiently with team members. Effective communication skills, a proactive approach to problem-solving, and the ability to thrive in a remote work setting are essential qualities that contribute to success in this role.