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Ai Data Quality Analyst Jobs (NOW HIRING)

Role: "SAP Data Quality Analyst" Location: Remote Position: Fulltime Exp. Required: 10+ Year's Need exp. In SAP BODS and Information Steward. Roles & Responsibilities We are looking for a motivated ...

Data Governance & Quality Consultant Seattle, WA / Remote We are seeking a Data Governance Consultant to drive enterprise-level data integrity and compliance within a large-scale financial services ...

Data Governance & Quality Consultant Seattle, WA / Remote We are seeking a Data Governance Consultant to drive enterprise-level data integrity and compliance within a large-scale financial services ...

Position : Sr. Data Quality Analyst Location : Minneapolis MN Duration : 6+ months Interview format, phone screen followed by F2F Skype is possible Rate As per the market The candidate should have ...

Analyze profiling results against the key dimensions of data quality: accuracy, completeness, consistency, timeliness, relevance, validity, and uniqueness. b. Identify and document data quality ...

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How much do ai data quality analyst jobs pay per year?

As of Sep 10, 2026, the average yearly pay for ai data quality analyst in the United States is $82,640.00, according to ZipRecruiter salary data. Most workers in this role earn between $62,500.00 and $97,000.00 per year, depending on experience, location, and employer.

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Infographic showing various Ai Data Quality Analyst job openings in the United States as of August 2026, with employment types broken down into 1% As Needed, 81% Full Time, 13% Part Time, 4% Contract, and 1% Nights. Highlights an 86% Physical, 2% Hybrid, and 12% Remote job distribution, with an average salary of $82,640 per year, or $39.7 per hour.

Data Quality Analyst

Decatur, GA โ€ข On-site

Contractor

Re-posted 14 days ago


Job description

*MUST be local to Metro Atlanta*
**ONSITE REQUIRED*
 
Key Responsibilities:

Front Desk Data Validation and Correction

• Utilize SQL queries and Mylnsight reporting tools to identify and correct front desk-related data

entry errors.

• Perform routine audits for the following:

o Benefit Assignments: End-date outdated or incorrectly assigned benefits.

o Insurance Relationships: Ensure the insured relationship is correctly set to "Self."

o Checkout Status: Investigate patients who have not checked out and apply corrective

actions.

Clinical Data Integrity

• Analyze service records for completeness, accuracy, and compliance with billing requirements.

• Identify and correct:

o Document how data is currently being entered into Mylnsight. The primary objective is to

develop a Standard Operating Procedure (SOP) for each program, which will serve as

formal documentation to be shared with Patagonia.

o Missing Office and lab Visits in program services requiring both components.

o Billable Services lacking appropriate Evaluation & Management (E/M) or Office Visit

codes.

o Diagnoses missing associated E/M codes.

o Vaccination Admin Fees not entered for patients with Medicaid, Medicare, or Private

Insurance.

o Incorrect Service Entry Points ( e.g., services entered from the Front Desk instead of

Home View).

o Services logged under incorrect events.

Duplicate Record Management

• Identify, merge, and clean up duplicate patient records using Mylnsight and supporting tools.

• Maintain record consistency across the EHR to ensure accurate reporting and billing.

Required Qualifications:

• Associate's or Bachelor's degree in Health Information Technology, Computer Science,

Healthcare Administration, or a related field.

• Minimum of 2 years of experience working with EHR systems, preferably Mylnsight by Nets mart.

• Prof1c1ent ,n SQC"for data querying ana report generation.

• Strong analytical and problem-solving skills.

• Experience with data cleanup and auditing workflows in a healthcare setting.

Preferred Qualifications:

• Experience working in a public health or clinical environment.

• Familiarity with healthcare billing and insurance requirements (Medicaid, Medicare, Private).

• Understanding of ICD/CPT coding and E/M documentation standards.

Competencies:

• High attention to detail and data accuracy.

• Ability to work independently and collaboratively with clinical and administrative staff.

• Strong organizational and time-management skills.

• Clear verbal and written communication.