Data Quality Specialist (on-site)
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Role details
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Job description
A well-established membership-based organization in Alexandria, Virginia is seeking a Data Quality Specialist to support a critical database remediation project following the implementation of a new Association Management System.
This individual will play a key role in researching, validating, and consolidating duplicate constituent records while ensuring the accuracy and integrity of membership and organizational data. If you enjoy solving data challenges, improving data quality, and working independently in a structured environment, this could be an excellent short-term opportunity., * Review and analyze duplicate constituent records
- Determine appropriate master records and merge duplicates
- Validate memberships, affiliations, contact information, historical activity, and related data
- Use Excel to track and manage remediation efforts
- Maintain documentation of merge decisions and exceptions
- Escalate complex issues for review
- Support data quality and governance initiatives
Requirements
- 2+ years of experience working with an AMS, CRM, or membership database platform
- Experience with systems such as iMIS, Personify, Fonteva, Nimble AMS, Dynamics 365, Raiser’s Edge, Cobalt, or similar platforms
- Strong understanding of data relationships and record management
- Experience identifying and resolving duplicate records
- Advanced attention to detail and analytical thinking
- Strong Excel skills
- Ability to work independently and manage priorities effectively
Preferred Experience
- Association, nonprofit, or membership organization experience
- Data governance experience
- Large-scale data cleanup projects
- Microsoft Dynamics 365 or Cobalt AMS experience, We’re looking for someone who genuinely enjoys data cleanup, can work through records methodically, and understands how data relationships impact the bigger picture. This role is ideal for a membership operations professional, database specialist, or data quality analyst with experience handling duplicate record remediation projects.
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