Posted 5d ago

Data Entry Clerk

@ Atlantica Sustainable Infrastructure
Ridgecrest or Little Lake
OnsiteFull Time
Responsibilities:input data, update records, maintain files
Requirements Summary:Data entry, high accuracy, strong typing, basic computer skills, MS Office and SAP, independent work, detail oriented, Mon-Fri 6:30 AM–3:00 PM, commute required, Ridgecrest, CA.
Technical Tools Mentioned:Microsoft Excel, Microsoft Word, PowerPoint, Access, SAP
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Job Description - Office Assistant

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Data Entry Clerk

Location: Ridgecrest
Department: Administration
Schedule: Monday–Friday, 6:30 AM – 3:00 PM


Role Overview

We are looking for a reliable and detail-oriented Data Entry Clerk to support daily administrative and data management functions. This role is responsible for accurately entering, updating, and maintaining data across multiple systems while ensuring consistency and efficiency in all tasks. The ideal candidate is dependable, works well independently, and can manage repetitive tasks with a high level of accuracy.


Key Responsibilities

  • Accurately input, update, and maintain data in internal systems and databases
  • Review data for errors or discrepancies and resolve issues as needed
  • Maintain organized records and documentation for easy retrieval
  • Work with internal teams to ensure data accuracy and completeness
  • Handle high-volume data entry while meeting deadlines
  • Perform general administrative tasks as assigned

Requirements

  • Strong typing and data entry skills with high accuracy
  • Basic computer proficiency
  • Working knowledge of Microsoft Excel, Word, PowerPoint, and Access, as well as SAP
  • Ability to work independently with minimal supervision
  • Strong attention to detail and organizational skills
  • Dependable, punctual, and mature work ethic
  • Must be available to work Monday–Friday, 6:30 AM – 3:00 PM
  • Must be able to commute daily

Preferred Qualifications

  • Prior data entry or administrative experience
  • Experience working with ERP systems (SAP preferred)
  • Familiarity with handling large datasets