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Data Integrity Analyst Jobs (NOW HIRING)

Develops analytical problem solving and non-linear thinking skills among the team * Develop and ... Manager, Data Integrity Shift: days Experience: Five to seven years of progressive work experience ...

Handle data efficiently, ensuring its integrity throughout the workflow. * Engage in data relevance ... Quality Assurance and Analysis: * Conduct manual quality analysis of model results. * Recognize ...

Develops analytical problem solving and non-linear thinking skills among the team * Develop and ... Manager, Data Integrity Shift: days Experience: Five to seven years of progressive work experience ...

Develops analytical problem solving and non-linear thinking skills among the team * Develop and ... Manager, Data Integrity Shift: days Experience: Five to seven years of progressive work experience ...

Revenue Integrity Analyst

Mattoon, IL · On-site

$54K - $84K/yr

Revenue Integrity Analyst The Revenue Integrity Analyst ensures accurate and compliant patient ... Conducts audits, analyzes claim data, reviews charge capture, and investigates variances. Conducts ...

$54K - $84K/yr

Revenue Integrity Analyst The Revenue Integrity Analyst ensures accurate and compliant patient ... Conducts audits, analyzes claim data, reviews charge capture, and investigates variances. Conducts ...

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Data Integrity Analyst information

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How much do data integrity analyst jobs pay per hour?

As of Jun 9, 2026, the average hourly pay for data integrity analyst in the United States is $48.43, according to ZipRecruiter salary data. Most workers in this role earn between $34.62 and $60.34 per hour, depending on experience, location, and employer.

What Does a Data Integrity Analyst Do?

Data integrity analysts manage the security of their company’s data. As a data integrity analyst, you monitor access to information, ensuring that files are only viewed by those authorized to utilize them and that the data is used properly. You also regularly check that the firewall and security systems at the company are up-to-date and still effective in preventing security breaches. Data integrity analysts may work in an office or technical center and must be willing to hold employees accountable for any infractions against data policy.

How does a Data Integrity Analyst typically collaborate with other teams within an organization?

Data Integrity Analysts often work closely with IT, data engineering, and business operations teams to ensure that data remains accurate, consistent, and secure throughout its lifecycle. They participate in regular meetings to discuss data quality issues, share findings from audits, and recommend process improvements. Effective communication skills are essential, as analysts frequently translate technical data integrity concepts for non-technical stakeholders and help implement best practices across departments.

What is a Data Integrity Analyst?

A Data Integrity Analyst is a professional responsible for ensuring the accuracy, consistency, and reliability of data within an organization. They monitor data quality, identify and resolve inconsistencies or errors, and implement processes to maintain high data standards. Data Integrity Analysts often work closely with IT, data management, and business teams to develop and enforce data governance policies. Their role is essential for organizations that rely on accurate data for decision-making, compliance, and operational efficiency.

What are the key skills and qualifications needed to thrive as a Data Integrity Analyst, and why are they important?

To thrive as a Data Integrity Analyst, you need strong analytical abilities, attention to detail, and a background in data management or information systems, often supported by a relevant degree. Proficiency with database management systems (such as SQL), data quality tools, and knowledge of data governance frameworks is typically required. Strong problem-solving, communication, and organizational skills help analysts effectively identify and resolve data discrepancies. These skills ensure the reliability and accuracy of data, which is critical for informed decision-making and maintaining regulatory compliance.

What is the difference between Data Integrity Analyst vs Data Quality Analyst?

AspectData Integrity AnalystData Quality Analyst
CertificationsCertified Data Management Professional (CDMP), Data Management certificationsData Quality certifications, Data Management certifications
Work EnvironmentIT departments, data warehouses, compliance teamsBusiness units, analytics teams, data governance
Employer & Industry UsageFinance, healthcare, technologyRetail, marketing, finance

Both roles focus on data accuracy and reliability but differ in scope. Data Integrity Analysts primarily ensure data remains accurate, consistent, and secure across systems. Data Quality Analysts focus on assessing and improving data quality metrics to support business decisions. While overlapping, their specific responsibilities and environments distinguish them.

What cities are hiring for Data Integrity Analyst jobs? Cities with the most Data Integrity Analyst job openings:
Who are the top companies hiring for Data Integrity Analyst jobs? The top employers for Data Integrity Analyst jobs are:
What states have the most Data Integrity Analyst jobs? States with the most job openings for Data Integrity Analyst jobs include:
Infographic showing various Data Integrity Analyst job openings in the United States as of May 2026, with employment types broken down into 1% As Needed, 84% Full Time, 13% Part Time, 1% Temporary, and 1% Contract. Highlights an 87% Physical, 3% Hybrid, and 10% Remote job distribution, with an average salary of $100,740 per year, or $48.4 per hour.

Data Quality Analyst

American technologies consulting

Decatur, GA • On-site

Contractor

Posted 10 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.