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CRM Data Cleanup Assistant


Job Location:

Alabaster, AL - USA

Hourly Salary: $ 19 - 29
Posted: 24 October 2026 (2 hours ago)
Application Deadline: 19 October 2027
Vacancies: 1 Vacancy

Job Summary

We are seeking a detail-oriented and reliable CRM Data Cleanup Assistant to help maintain accurate organized and up-to-date customer records in our customer relationship management (CRM) system.

The ideal candidate is comfortable working with digital records spreadsheets and customer databases. This role focuses on improving data quality by identifying duplicate entries correcting inaccurate information updating records and ensuring that information is consistently organized.

This is a remote opportunity for someone who works carefully follows instructions and can complete repetitive administrative tasks with a high level of accuracy.

Responsibilities
  • Review existing CRM records for missing outdated or incorrect information.

  • Identify and flag duplicate customer or contact records.

  • Update customer names email addresses phone numbers and other permitted fields.

  • Standardize data formats and correct inconsistencies.

  • Verify information against approved internal sources.

  • Organize and categorize customer records according to company guidelines.

  • Maintain accurate spreadsheets and data-cleanup tracking logs.

  • Flag questionable records for further review instead of guessing.

  • Follow data privacy confidentiality and security procedures.

  • Meet assigned productivity and accuracy targets.

Qualifications
  • Strong attention to detail and organizational skills.

  • Basic computer skills and familiarity with spreadsheets.

  • Ability to follow written instructions and established procedures.

  • Good written communication skills.

  • Ability to work independently in a remote environment.

  • Reliable internet connection and access to a computer.

  • Willingness to handle repetitive tasks while maintaining accuracy.


Required Skills:

SQL Python Excel Salesforce Data Analysis Data Cleaning Attention to Detail