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Data Quality Analyst
Job in
New York, New York County, New York, 10261, USA
Listed on 2026-03-01
Listing for:
Taylor Hodson Staffing
Full Time
position Listed on 2026-03-01
Job specializations:
-
IT/Tech
Data Entry, Data Analyst
Job Description & How to Apply Below
Overview
We are seeking a highly detail-oriented Data Quality Analyst to support a large-scale CRM data cleanup initiative. This role is ideal for someone who enjoys structured, repetitive work, takes pride in data accuracy, and thrives in a fast-paced, deadline-driven environment. You will work closely with an existing team member and play a key role in ensuring the integrity and reliability of contact and company data.
Key Responsibilities- Review, validate, and update CRM records related to companies, contacts, and interactions
- Identify, resolve, and flag data discrepancies and quality issues
- Perform regular data cleansing activities, including merging duplicate records and standardizing data fields
- Research internal and external sources to complete missing or inaccurate contact and company information
- Ensure required data fields are populated according to internal standards
- Reconcile data across internal and third-party systems
- Maintain strict attention to accuracy, consistency, and confidentiality when handling sensitive information
- 2–3 years of experience in data entry, data management, operations, or CRM-focused roles
- Experience working with large datasets and high-volume records
- Strong attention to detail and comfort performing repetitive, process-driven tasks
- Ability to work independently with minimal supervision while meeting deadlines
- Strong organizational and time-management skills
- Experience in financial services, professional services, or similarly regulated environments is a plus
- CRM experience required (Salesforce preferred)
- Strong proficiency in Microsoft Excel and MS Office applications
- Comfort working across multiple systems and data sources
- A dependable, detail-oriented “workhorse” who takes pride in clean, accurate data
- Someone who enjoys structured, behind-the-scenes work and sees value in consistency
- A team player who is reliable, responsive, and eager to contribute immediately
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