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Data Quality Analyst Jobs (NOW HIRING)

The Select Group

Data Quality Analyst

Tukwila, WA · On-site +1

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 ...

BOK Financial

Senior Data Quality Analyst

Addison, TX · On-site

So you can go beyond." The Senior Data Quality Analyst is responsible for supporting and executing enterprise-level data quality initiatives, including data profiling, measurement, process analysis ...

BOK Financial

Senior Data Quality Analyst

Dallas, TX · On-site

So you can go beyond." The Senior Data Quality Analyst is responsible for supporting and executing enterprise-level data quality initiatives, including data profiling, measurement, process analysis ...

The Select Group

Data Quality Analyst

Tukwila, WA · On-site

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 ...

BOK Financial

Senior Data Quality Analyst

Addison, TX · On-site

So you can go beyond." The Senior Data Quality Analyst is responsible for supporting and executing enterprise-level data quality initiatives, including data profiling, measurement, process analysis ...

F5, Inc.

Data Quality Analyst II

Seattle, WA · On-site

$77K - $116K/yr

The Data Quality Analyst 2 will be responsible for ensuring the accuracy, completeness, and consistency of our subscription data across all systems and platforms. The successful candidate will work ...

Droisys

Sr. Data Quality Analyst

Minneapolis, MN

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 ...

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Data Quality Analyst information

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How much do data quality analyst jobs pay per hour?

As of Jun 29, 2026, the average hourly pay for data quality 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 are some common challenges Data Quality Analysts face when handling large datasets, and how can they be addressed?

Data Quality Analysts often encounter challenges such as inconsistent data formats, missing values, and duplicate records when working with large datasets. Addressing these issues requires a combination of automated data profiling tools, well-defined data governance procedures, and close collaboration with data engineers and business stakeholders. Regular communication and clear documentation help ensure data standards are maintained and issues are quickly identified and resolved, ultimately supporting more reliable business decision-making.

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

A Data Quality Analyst requires strong analytical skills, attention to detail, and a background in data management or statistics, often supported by a relevant degree. Familiarity with data profiling tools, SQL, Excel, and data quality management systems, as well as certifications like CDMP, are typically needed. Excellent problem-solving abilities, communication skills, and a proactive mindset help analysts identify and resolve data issues effectively. These competencies ensure organizational data is accurate, reliable, and actionable, which is critical for informed decision-making.

Is a data analyst highly paid?

Data analysts typically earn competitive salaries that vary by industry, experience, and location. They often require skills in data visualization, SQL, and Excel, and can advance to higher-paying roles such as data scientist or data manager.

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

AspectData Quality AnalystData Analyst
Primary FocusEnsuring data accuracy, completeness, and reliabilityAnalyzing data to identify trends and support decision-making
Skills & CertificationsData quality tools, SQL, data governance certificationsData visualization, statistical analysis, SQL
Work EnvironmentData governance teams, IT departmentsBusiness units, analytics teams
Industry UsageFinance, healthcare, retail, where data integrity is criticalMarketing, finance, operations, for insights and reporting

While both roles work with data, Data Quality Analysts focus on maintaining data integrity and quality standards, whereas Data Analysts interpret data to generate insights. Both roles often collaborate but serve different core functions within organizations.

Is AI replacing data analysts?

AI is automating certain tasks within data analysis, such as data cleaning and pattern recognition, but it does not replace the need for data analysts. Data analysts are essential for interpreting insights, making strategic decisions, and managing complex datasets that require human judgment and domain expertise. The role continues to evolve with new tools, emphasizing skills in data visualization, programming, and critical thinking.

Is 40 too old to become a data analyst?

Age is not a barrier to becoming a data quality analyst or data analyst, as the field values skills such as data analysis, SQL, and Excel, which can be learned at any age. Many professionals successfully transition into data roles later in their careers by gaining relevant certifications and experience. Employers focus on skills and experience rather than age, making it possible to start a data analyst career at 40 or older.

What are Data Quality Analysts?

Data Quality Analysts are professionals responsible for ensuring the accuracy, consistency, and reliability of data within an organization. They analyze data sets to identify errors, inconsistencies, or gaps and develop processes for improving data quality. Their work often involves monitoring data flows, creating data quality reports, and collaborating with teams to implement data governance standards. By maintaining high-quality data, they help organizations make informed decisions and meet regulatory requirements.

What do data quality analysts do?

Data quality analysts are responsible for assessing, monitoring, and improving the accuracy, completeness, and reliability of data within an organization. They use tools like data profiling and validation techniques to identify issues and ensure data meets quality standards, often working with databases and data management software. Strong analytical skills and attention to detail are essential for this role.
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Data Quality Analyst jobs near you

Data Quality Analyst

American technologies consulting

Decatur, GA • On-site

Contractor

Posted 22 hours 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.