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Data Quality Professional - Remote

Posted Yesterday
Data Analysis
Full Time
Worldwide
$15.00/hour

Overview

Harbor is looking for detail-oriented and committed Data Quality Professionals (DQPs) to join our growing Managed Services team. As a DQP, you’ll play a key role in helping our clients maintain accurate, high-quality data that supports their business development and relationship management efforts.

In Short

  • Remote position ideal for detail-oriented individuals.
  • Support clients in maintaining high-quality data.
  • Work in a structured, flexible environment.
  • Collaborate with experienced Quality Specialists and Client Managers.
  • Deliver accurate data to help clients succeed.
  • Log in and complete assigned work weekly.
  • Review and update client data based on Style Guides.
  • Research and validate information using various sources.
  • Resolve data discrepancies and merge duplicate records.
  • Communicate proactively with team members.

Requirements

  • 3+ years of professional work experience in a detail-driven role.
  • Strong communication and collaboration skills.
  • Technically proficient and comfortable with software tools.
  • Self-motivated and organized.
  • Ability to maintain confidentiality.
  • Experience with CRM systems is a plus.
  • Prior experience in a law firm is preferred.

Benefits

  • Work from home with a flexible schedule.
  • No dress code.
  • No commute, saving time and money.
  • Supportive team environment.
  • Opportunities for internal advancement.
Harbor logo

Harbor

Harbor is a forward-thinking company specializing in Legal Technology and Operations, particularly in Application Managed Services. The organization is dedicated to delivering high-quality services to clients with managed service agreements, leveraging extensive experience in legal processes and technology across various platforms, including Intapp products. Harbor's team acts as both advisors and hands-on resources, collaborating closely with clients to enhance operational efficiency, manage data effectively, and mitigate risks and costs through continuous improvement initiatives.

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