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Remote Data Entry Specialist

Jobvertise.com - Jobboard

Philadelphia (Philadelphia County)

Remote

USD 60,000 - 80,000

Full time

30+ days ago

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Job summary

An established industry player is looking for a skilled Remote Data Entry Specialist to join their dynamic team. In this role, you'll be responsible for accurately entering, maintaining, and managing data within the organization's systems from a remote location. Your attention to detail will ensure data consistency and adherence to organizational standards. This position offers the opportunity to work in a supportive environment where your contributions will directly impact the quality and efficiency of data management processes. If you thrive in a remote setting and have a passion for data accuracy, this role is perfect for you.

Qualifications

  • Proven experience in data entry and management with a focus on accuracy.
  • Strong attention to detail and ability to maintain data integrity.

Responsibilities

  • Accurately enter and manage data within organizational systems.
  • Verify data for errors and maintain existing records.

Skills

Data Entry
Data Management
Quality Control
Attention to Detail

Tools

Databases
Spreadsheets
Data Validation Software

Job description

We are seeking an experienced and highly skilled Remote Data Entry Specialist to join our team. The successful candidate will accurately and efficiently enter, maintain, and manage data within our organization's systems from a remote location.


Key Responsibilities:
  1. Data Entry:
    1. Enter information into databases, spreadsheets or other software systems with high accuracy and efficiency.
    2. Verify data for errors or discrepancies and correct as necessary.
    3. Maintain and update existing data records.
    4. Ensure data consistency and adherence to organizational standards.
  2. Data Management:
    1. Organize and categorize data for easy retrieval.
    2. Generate reports and summaries as required.
    3. Perform data validation and quality control checks.
    4. Assist with data-related projects and tasks as assigned.
  3. Quality Control:
    1. Review and verify data for accuracy and completeness.
    2. Identify and resolve data discrepancies.
    3. Implement data quality control measures.
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