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Qa Data Analyst Jobs (NOW HIRING)

S Linx LLC

QA Data Test Lead

Cincinnati, OH

Job Title : QA Data Test Lead Location: Cincinnati, OH - 2-day onsite (Tuesday & Thursday) Must ... Strong expertise in SQL for data validation and analysis. * Solid understanding of ETL processes ...

Dabella

Quality Assurance - Data Entry

Austin, TX

$19 - $20/hr

This role offers the opportunity to collaborate with diverse teams, analyze performance data, and ... Marketing QA team! Be part of a team that is committed to quality, cohesion, and innovation.

DaBella

Quality Assurance - Data Entry

Austin, TX · On-site

$19 - $20/hr

This role offers the opportunity to collaborate with diverse teams, analyze performance data, and ... Marketing QA team! Be part of a team that is committed to quality, cohesion, and innovation.

Sarian, Inc.

Data Analyst

Pittsburgh, PA · On-site

Data Analyst Location: Pittsburgh, PA Onsite position Fulltime Position *****NO C2C**** JD * Data ... Skills in data cleaning, transformation, and quality assurance. * Data Modeling: Ability to design ...

Futran Tech Solutions Pvt. Ltd.

Data QA Analyst

Role: Data QA Analyst Remote Role C2H (Only W2) What You Will Do: Review and analyze functional and design specifications documents Identify test requirements from design document and mapping ...

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How much do qa data analyst jobs pay per year?

As of May 30, 2026, the average yearly pay for qa data analyst in the United States is $82,640.00, according to ZipRecruiter salary data. Most workers in this role earn between $62,500.00 and $97,000.00 per year, depending on experience, location, and employer.

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

To thrive as a QA Data Analyst, you need strong analytical skills, proficiency in data analysis, and experience with quality assurance methodologies, usually supported by a degree in computer science, statistics, or a related field. Familiarity with tools like SQL, Python, data visualization platforms, and QA testing frameworks is often required, along with knowledge of industry standards and certifications such as ISTQB. Attention to detail, problem-solving abilities, and effective communication are essential soft skills for identifying data inconsistencies and collaborating with cross-functional teams. These skills and qualities are vital to ensure data integrity, process efficiency, and the delivery of high-quality insights to support business objectives.

How does a QA Data Analyst typically collaborate with software development and QA teams during a project?

A QA Data Analyst works closely with both software development and quality assurance teams to ensure data accuracy and integrity throughout the software development lifecycle. They frequently participate in cross-functional meetings to understand data requirements, design test cases, and analyze test results. By sharing insights on data trends, anomalies, and quality issues, they help developers address root causes and enable QA teams to refine testing strategies. This collaborative approach ensures that data-driven decisions support product quality and continuous improvement.

What are QA Data Analysts?

QA Data Analysts are professionals who focus on ensuring the quality and accuracy of data within an organization. They design and conduct data testing procedures, validate datasets, and identify data inconsistencies or errors. Their role often involves collaborating with other teams to maintain data integrity, support data-driven decision-making, and improve overall data processes. QA Data Analysts use various tools and methodologies to analyze, monitor, and report on data quality issues, helping organizations make reliable and accurate business decisions.
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Qa Data Analyst jobs near you
Infographic showing various Qa Data Analyst job openings in the United States as of May 2026, with employment types broken down into 34% Full Time, 62% Part Time, 3% Contract, and 1% Nights. Highlights an 68% Physical, 3% Hybrid, and 29% Remote job distribution, with an average salary of $82,640 per year, or $39.7 per hour.

QA Data Analyst

Purple Drive Technologies

Cupertino, CA • On-site

Full-time

Posted 7 days ago

Job description

Overview:
QA Data Analyst
Role Descriptions:
6 plus years of experience in Data AnalysisAbility to interpret and validate ML models (No model building required)Experience with Data Cleaning and ValidationAdvanced proficiency in ExcelGood to have experience working with large Data setsGood to have- Familiarity with data visualization tools Tableau | Power BIMust have depth knowledge in QA and manual testing
  • 7+ years of experience in Data Analysis
  • Candidate must be Proficient in QA and manual testing
  • Ability to interpret and validate ML models (No model building required)
  • Experience with Data Cleaning and Validation
  • Advanced proficiency in Excel
  • Good to have experience working with large Data sets
  • Good to have- Familiarity with data visualization tools Tableau , Power BI

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