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Data Quality Analyst Jobs (NOW HIRING)

Figure

Data Quality Analyst

San Jose, CA · On-site

$30/hr

Data Quality Analyst Figure is an AI Robotics company developing a general purpose humanoid. Our humanoid robot, Figure 02, is designed for commercial tasks and the home. We are based in San Jose, CA ...

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 ...

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 ...

Techwave

Role: Data Quality Analyst - Senior Associate Experience: 3 - 5 yrs Location: Hyderabad Summary The Data Quality Analystis responsible forensuring endtoend traceability and integrity of delivery ...

AIG

Data Quality Analyst - GenAI

Atlanta, GA

Data Quality Analyst - GenAI Be part of something groundbreaking At AIG, we are making long-term investments in a brand-new, innovative Generative AI team , designed to explore new possibilities for ...

Welocalize, Inc.

Data Quality Analyst

New York, NY · On-site

Annotate data accurately, ensuring it adheres to set guidelines. Quality Assurance and Analysis: * Conduct manual quality analysis of model results. * Recognize error patterns and report anomalies ...

Welocalize

Data Quality Analyst

San Francisco, CA · On-site

Annotate data accurately, ensuring it adheres to set guidelines. * Conduct manual quality analysis of model results. * Recognize error patterns and report anomalies for further investigation.

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How much do data quality analyst jobs pay per hour?

As of Jun 9, 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.

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.

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.
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Data Quality Analyst jobs near you
Infographic showing various Data Quality Analyst job openings in the United States as of May 2026, with employment types broken down into 1% As Needed, 82% Full Time, 14% Part Time, and 3% 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

Data Quality Analyst

Avani Technology Solutions, Inc.

Newport Beach, CA • On-site

Full-time

Posted 12 days ago

Job description

Role: Data Quality Analyst
Location: Newport Beach, CA
Duration: 12 Months
Top Three Skills:
3+ years of experience as an ETL QA focused on data quality, data validation, and running query optimization/performance tuning
Experience with Informatica ETL tools for back end data validation
Experience overseeing data integrity across multiple client facing applications (preferably in banking/financial services)
Job Description:
We are seeking a Data Analyst to work on the projects focusing on the development of PIMCO's data quality program, central to the analytics of the organization in providing excellence to our clients. The candidate should demonstrate an advanced level of understanding of data quality, data architecture, data processing, and RDBMS systems. Candidate should be able to lead the data quality program, develop the testing plans, implement the test cases, monitor for data anomalies, escalate and follow up on data issues.
Primary responsibilities will include:
• Responsible for ensuring the data integrity levels of various client facing applications
• Provide a high level of data quality awareness across multiple teams
• Report development and analysis in order to find defects and propose improvements
• Work with data strategy, communications, and operations teams to drive advanced data quality governance program
• Bring a curious and inquisitive approach to solving complex data quality challenges
• Drive execution and provide automation improvements to drive efficiency
• Support development of organizational data quality to drive meaningful analytics
• Designs, develops, and analyzes the results of data queries necessary to identify data quality issues and presents results in an easy-to-understand format to end users
• Works with business stakeholders to gather requirements, conduct data profiling and track metrics necessary to monitor data quality
• Perform regression testing at critical junctions to ensure preservation of existing data integrity
• Root cause analysis
• Dataset and data process quality control
• Ensure that the highest level of system and data confidentiality, integrity and data availability is maintained
• Solves complex problems and develops innovative solutions
• Provides recommendations and plans for improvement
• Executes, maintains, and reviews data QC processes benchmarking against industry best practices
Position Requirements
• 3+ years' experience in a data quality focused role
• Extremely meticulous in approach to work
• Outstanding attention to detail
• Experienced in query optimization and performance tuning for OLTP and Date Warehouse
• Knowledge of Data Architecture (conceptual, logical, physical, transactional, dimensional, and Star/Snowflake modeling)
• Excellent interpersonal and communication skills are essential
• Ability to write technical documentation materials
• Experience in banking or financial services preferred
• Working Python knowledge is a plus

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