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Senior Data Quality Analyst Jobs (NOW HIRING)

Curant Health

Data Quality Analyst

Smyrna, GA · On-site

They are seeking a highly skilled Data Quality Analyst responsible for validating data accuracy, designing automated testing frameworks, and collaborating with cross-functional teams to ensure data ...

BBQ Holdings

Data Quality Analyst

Minnetonka, MN · On-site

The Data Quality Analyst will be responsible for monitoring, measuring, and improving data quality across enterprise data domains including sales, finance, franchise operations, supply chain, loyalty ...

ICCU

Data Quality Analyst

Chubbuck, ID · On-site

The Data Quality Analyst is responsible for ensuring the accuracy, consistency, and reliability of data across the Credit Union. This role involves monitoring all stages of data processing to ...

Initio Capital

Data Quality Analyst

Dallas, TX · Remote

THE ROLE As a Data Quality Analyst, you will help identify promising markets, companies, products, operators, and investment or growth opportunities. You will turn ambiguous information into clear ...

Curant Health

Data Quality Analyst

Smyrna, GA · On-site

Position Summary Curant Health is seeking a highly skilled Data Quality Analyst with strong expertise in validating data accuracy, completeness, and consistency across multiple data sources. This ...

Figure

Data Quality Analyst

San Jose, CA · On-site

They are seeking a Data Quality Analyst to assist in annotating and labeling data for AI training applications. Responsibilities : • Use proprietary annotation tools to label objects, poses, and ...

LOG-NET, Inc.

Data Quality Analyst

Atlanta, GA · On-site

... quality control standards are maintained and setting and maintaining agreed upon service level of ... Compile and analyze data related to business'/EDI issues Be able to fully understand LOG-NET ...

Figure

Data Quality Analyst

San Jose, CA · On-site

$30/hr

We are looking for Data Quality Analyst to help us in our efforts to annotate and label our data for AI training applications. The schedule for this role with be from 1:30 - 10pm. Responsibilities:

Figure

Data Quality Analyst

San Jose, CA

$30/hr

We are looking for Data Quality Analyst to help us in our efforts to annotate and label our data for AI training applications. The schedule for this role with be from 1:30 - 10pm. Responsibilities:

LOG-NET, Inc.

Data Quality Analyst

Atlanta, GA

... quality control standards are maintained and setting and maintaining agreed upon service level of ... Compile and analyze data related to business'/EDI issues Be able to fully understand LOG-NET ...

Guild

Sr IT QA Data Quality Analyst

$82K - $130K/yr

Position Summary The Sr. IT QA Data Quality Analyst plays an important role in the organization by leading quality assurance activities for Enterprise Data Warehouse (EDW), Data Services, and related ...

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How much do senior data quality analyst jobs pay per hour?

As of Aug 15, 2026, the average hourly pay for senior data quality analyst in the United States is $41.44, according to ZipRecruiter salary data. Most workers in this role earn between $27.88 and $54.33 per hour, depending on experience, location, and employer.

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

AspectSenior Data Quality AnalystData Analyst
Required CredentialsBachelor's degree, certifications in data quality or data management (e.g., CDMP)Bachelor's degree, often in statistics, mathematics, or related fields
Work EnvironmentFocus on data quality, validation, and governance within data teamsData interpretation, reporting, and visualization across departments
Employer & Industry UsageUsed in industries with strict data compliance needs like finance, healthcareCommon across various industries for business insights

The Senior Data Quality Analyst specializes in ensuring data accuracy, integrity, and compliance, often working closely with data governance teams. In contrast, a Data Analyst focuses on analyzing data to generate reports and support decision-making. While both roles require strong analytical skills, the Senior Data Quality Analyst emphasizes data quality management, making it more technical and compliance-oriented.

What are the key skills and qualifications needed to thrive as a senior data quality analyst, and why are they important?

To thrive as a Senior Data Quality Analyst, you need strong analytical skills, deep knowledge of data management principles, and experience with data profiling and cleansing, often supported by a degree in computer science or a related field. Familiarity with data quality tools (such as Informatica, Talend, or IBM InfoSphere), SQL, and data governance frameworks is typically required, along with relevant certifications like CDMP. Attention to detail, problem-solving abilities, and effective communication skills set outstanding analysts apart. These competencies ensure data integrity, support business decision-making, and drive organizational success through reliable information management.

What does a senior data quality analyst do?

A Senior Data Quality Analyst is responsible for ensuring the accuracy, integrity, and consistency of data within an organization. They design and implement data quality processes, perform data profiling and cleansing, and identify data quality issues. Additionally, they collaborate with other teams to establish data standards, develop metrics, and recommend improvements to data management practices. Their work helps businesses make informed decisions based on reliable and high-quality data.

How does a senior data quality analyst typically collaborate with other departments to ensure data integrity?

As a Senior Data Quality Analyst, you will regularly work with cross-functional teams such as data engineering, business intelligence, and operations to identify, investigate, and resolve data quality issues. This involves attending meetings to understand data requirements, communicating data discrepancies, and establishing data validation protocols. Building strong relationships with stakeholders is crucial to proactively address potential data concerns and implement best practices. Effective collaboration ensures that data standards are consistently met and that business decisions are based on reliable information.

What does a senior data quality analyst do?

As a senior data quality analyst, your job is to monitor complex databases of information and identify valuable insights that are useful for making business decisions. Your duties include performing data monitoring, verifying the integrity of the database, and implementing error detection to find any potential issues. You typically use a variety of technologies to perform your duties and may be responsible for leading a team of data quality analysts at larger organizations. As a senior member of the group, you may also present your findings to the Board of Directors, various executives, or individual managers.

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Senior Data Quality Analyst jobs near you
Infographic showing various Senior Data Quality Analyst job openings in the United States as of August 2026, with employment types broken down into 1% As Needed, 80% Full Time, 14% Part Time, 4% Contract, and 1% Nights. Highlights an 94% Physical, 2% Hybrid, and 4% Remote job distribution, with an average salary of $86,188 per year, or $41.4 per hour.

Data Quality Analyst

Curant Health

Smyrna, GA • On-site

Full-time

Re-posted 11 days ago

Job description

Job Summary:
Curant Health is a patient-centric specialty pharmacy focused on improving outcomes through innovative care management and data-driven decision-making. They are seeking a highly skilled Data Quality Analyst responsible for validating data accuracy, designing automated testing frameworks, and collaborating with cross-functional teams to ensure data quality and compliance.
Responsibilities:
• Validate data accuracy, completeness, consistency, and timeliness across multiple systems
• Perform data reconciliation and identify discrepancies across upstream and downstream sources
• Analyze data anomalies, determine root causes, and identify trends to drive actionable insights
• Develop and maintain both automated and manual data validation processes
• Design, develop, and implement automated data quality testing frameworks
• Create, execute, and maintain automated test cases for ETL pipelines, databases, and reporting layers
• Participate in regression testing and post-deployment production data validation
• Investigate, document, and track data quality issues, including root cause analysis and resolution
• Write and optimize complex SQL queries to validate large datasets and troubleshoot issues
• Support continuous improvement initiatives through data quality monitoring and reporting
• Collaborate with data engineers, analysts, and business stakeholders to define data quality rules and standards
• Ensure adherence to data governance, compliance, and quality standards
• Partner cross-functionally to support reliable, accurate, and scalable data solutions
Qualifications:
Required:
• Bachelor’s degree in Computer Science, Information Systems, or related field (or equivalent experience)
• 3+ years of experience in data quality, QA, or ETL testing
• Hands-on experience with SSIS (SQL Server Integration Services)
• Strong SQL skills (complex queries, joins, aggregations, large dataset validation)
• Understanding of ETL processes, data pipelines, and data warehousing concepts
• Experience with data validation, reconciliation, and profiling techniques
• Experience designing and developing test plans and automated test cases
• Strong analytical and problem-solving skills
• Excellent attention to detail
• Ability to identify trends, anomalies, and root causes in complex datasets
• Experience working with large datasets and resolving data inconsistencies
• Self-motivated and able to work independently with minimal supervision
• Strong collaboration skills with cross-functional teams
• Excellent written and verbal communication skills
Preferred:
• Familiarity with Agile methodologies
Company:
Curant Health improves patient journey and outcomes through its pharmacist-managed medication management program. Founded in 2000, the company is headquartered in Smyrna, USA, with a team of 201-500 employees. The company is currently Growth Stage.

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