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Data Quality Assurance Analyst Jobs (NOW HIRING)

Helioz Solutions INC

QA Analyst

Richmond, VA · On-site

An EXPERIENCED QA Analyst is needed to design test scenarios, identify test data, create test cases, execute test cases, identify/report defects, verify defects and participate in the overall testing ...

Centstone

QA Analyst

Denver, CO · On-site

$60 - $65/day

Support test data management, production data analysis, quality metrics, and risk mitigation activities Requirements * Strong knowledge of QA methodologies, software testing lifecycle, and test case ...

Apex Informatics

QA Analyst

We are looking for an experienced QA Analyst with strong expertise in the BFSI domain, including functional testing, data validation, and end-to-end quality assurance of financial applications. * The ...

CEDENT

Sr Data Analyst

$40 - $60/hr

Data QA Analyst -100% Remote (EST Hours) The client is looking for a Data QA Analyst to join the Data Partnership team at one of our healthcare clients. The client is a large healthcare system ...

Artius Solutions

QA Analyst

Chicago, IL · On-site

Senior QA Analyst - Salesforce Location: Chicago, IL (Hybrid) Employment Type: Full-Time Overview A ... Salesforce Data Validation * Validate backend data integrity using SOQL queries and API testing ...

Sensiple Inc.

QA Analyst

Salem, OR · On-site

One of our client is looking for a QA Analyst @ Salem OR Please find below the details of the ... SQL: Intermediate Data bricks; Tableau; SAFe Agile; Workers Compensation Experience Designs and ...

blueStone

QA (Quality Assurance) Analyst

Detroit, MI · On-site

The Quality Assurance Analyst will work closely with developers to create test plans and scripts and execute testing projects for new development and enhancements of systems. Qualifications The ...

Valicy

Quality Assurance Analyst

Greenville, NC

Quality Assurance Analyst Department: NC Quality Assurance Location: Greenville, NC Reports To ... Validate data mapping, transformation logic, message formats, transaction flows, and system ...

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Data Quality Assurance Analyst information

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

As of Sep 10, 2026, the average hourly pay for data quality assurance analyst in the United States is $40.04, according to ZipRecruiter salary data. Most workers in this role earn between $28.61 and $49.52 per hour, depending on experience, location, and employer.

What is a data quality assurance analyst?

Data Quality Assurance Analysts are professionals responsible for ensuring the accuracy, completeness, and consistency of data within an organization. They develop and implement processes to detect and resolve data errors, perform data audits, and collaborate with other teams to establish data quality standards. Their work helps organizations maintain reliable data for decision-making, reporting, and compliance. Data Quality Assurance Analysts often use specialized tools and techniques to monitor and improve data quality continuously.

What are the key skills and qualifications needed to thrive as a data quality assurance analyst?

To thrive as a Data Quality Assurance Analyst, you need a solid understanding of data management principles, data analysis, and quality assurance methodologies, typically backed by a degree in computer science, information systems, or a related field. Familiarity with SQL, data profiling tools, ETL processes, and quality management systems, as well as certifications like Six Sigma or related QA certifications, is highly valuable. Strong attention to detail, analytical thinking, and effective communication help analysts identify data issues and collaborate on solutions. These skills help ensure the integrity, accuracy, and reliability of organizational data, which are critical for informed decision-making and operational efficiency.

What are some common challenges faced by data quality assurance analysts in maintaining data integrity across multiple systems?

Data Quality Assurance Analysts often encounter challenges such as inconsistent data formats, duplicate records, and integration issues when data is sourced from various platforms. Ensuring data accuracy and consistency requires thorough testing, clear documentation, and close collaboration with both IT and business teams. Analysts must also stay vigilant for evolving data standards and new data sources, which can introduce unexpected errors or discrepancies. Proactively communicating with stakeholders and leveraging automated testing tools can help mitigate these challenges and maintain high data integrity.

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

AspectData Quality Assurance AnalystData Analyst
Primary FocusEnsuring data accuracy, integrity, and quality standardsAnalyzing data to identify trends, generate reports, and support decision-making
Skills & CertificationsData quality tools, SQL, data validation, certifications like CDMPData visualization, statistical analysis, SQL, Excel
Work EnvironmentQuality assurance teams, data management departmentsBusiness units, analytics teams, data science departments
Industry UsageCommon in data management, IT, finance, healthcareWidespread across marketing, finance, consulting, tech

While both roles work with data, the Data Quality Assurance Analyst primarily focuses on maintaining data integrity and quality standards, whereas the Data Analyst concentrates on interpreting data to support business decisions. Understanding these differences helps in choosing the right career path or hiring focus.

Is a data quality assurance analyst a good career?

A data quality assurance analyst is a valuable role focused on ensuring the accuracy, consistency, and reliability of data within organizations. It often requires skills in data analysis, attention to detail, and familiarity with tools like SQL or data validation software, making it a stable and in-demand career path in data management and analytics.
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Data Quality Assurance Analyst jobs near you
Infographic showing various Data Quality Assurance Analyst job openings in the United States as of September 2026, with employment types broken down into 1% As Needed, 81% Full Time, 13% Part Time, 4% Contract, and 1% Nights. Highlights an 87% Physical, 1% Hybrid, and 12% Remote job distribution, with an average salary of $83,275 per year, or $40 per hour.

QA - Quality Assurance Analyst

Jackson, MS • Remote

Resource Consultings Services Inc.
Recruiting and Staffing Services • 51 - 200 employees
Learn more about Resource Consultings Services Inc.external

Contractor

Re-posted 7 days ago

Job description

Role: QA - Quality Assurance Analyst – SME Level

Location: Jackson, MS 39211 – Remote

Duration: 3 years with possible extension

 

Visa: Any

Prior state experience is highly desired 

5-6 Page resume only  

Bachelor’s Degree

Must Have:

Database Entity Design

Samples of previous documents created strongly preferred.

PL/SQL

Data Factory/Synapse

SQL Server

DevOps

Oracle

Stored Procedures

Visio

Software Development Life Cycle

Scrum / Agile

C#

Job Description:

This position will require a qualified Quality Assurance Analyst to take the lead on the following

tasks:

• Review and validate the output of SQL and ETL development to ensure data

accuracy, consistency, and alignment with business rules.

• Develop and execute detailed data test plans, test cases, and validation scripts

targeting Azure Synapse pipelines, stored procedures, and data

transformations.

• Reconcile data between source systems, staging areas, and curated data layers

in Azure Data Lake or Synapse.

• Conduct regression testing on modified pipelines, stored procedures, or data

models to confirm that changes do not introduce new issues.

• Collaborate with data engineers, ETL developers, and business analysts to

document and resolve data discrepancies.

• Maintain data QA documentation including test results, issue logs, and

validation procedures.

• Support the development of automated data quality checks or unit tests using

SQL, Python, or other approved tools.

• Contribute to continuous improvement of QA processes, data validation

frameworks, and DevOps testing integration.