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Qa Data Analyst Jobs (NOW HIRING)

Tharros is actively pursuing an opportunity to support the Air Force Mission Assurance Construct Support (MACS) program, providing mission analysis, base assessment support, and data platform ...

We are seeking a highly detailed and technically proficient Product QA & Data Engineer to drive ... Excellent analytical and communication skills to effectively bridge the gap between technical teams ...

... analytical and IND enabling services. With over 40 years of experience and a team of 2,000 experts ... Together with our customers, we aim to improve the quality of life for patients around the world.

Skills: 1) 8+ years of experience in Quality Assurance, Data Testing, ETL/ELT Testing, Data ... analysis. 5) Hands-on experience with Python, PySpark, and Pandas for test automation, data ...

New

We are seeking a highly detailed and technically proficient Product QA & Data Engineer to drive ... Excellent analytical and communication skills to effectively bridge the gap between technical teams ...

Compiles and evaluates statistical data to determine and maintain quality and reliability of ... Prepare graphs or charts of data or enters data into computer for analysis. Benefits: Health ...

Integrating automated testing processes,solving complex quality assurance data-processing problems ... analysis & recommendations * API Testing & Automation (Postman, Rest Assured, etc.) - REST ...

We are seeking a senior-level QA Analyst to support the Cyber Data Operations team. This candidate will be involved in the QA testing efforts to design and execute test cases for the client's data ...

Previous experience in data analysis, quality assurance, data management, reporting, or a related field preferred. * Strong attention to detail and commitment to accuracy. * Strong analytical and ...

Data Analyst Location:Detroit,MI Duration:Long Term OVERVIEW * The Data Analyst must be able to ... Experience data quality assurance and/or data management required. * Expertise with data quality ...

Data Analyst

Raleigh, NC · On-site

$30 - $35/hr

Experience with data ingestion, cleansing, validation, and quality assurance processes. * Knowledge ... Strong analytical and problem-solving skills. * Experience creating automated reports ...

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QA Data Analyst information

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$34K

$82.6K

$136K

How much do qa data analyst jobs pay per year?

As of Aug 22, 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 is a QA data analyst?

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.

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 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.

Can a QA Data Analyst become a data analyst?

A QA Data Analyst can transition to a data analyst role by developing skills in data analysis, statistical tools, and programming languages like SQL or Python. Gaining experience with data visualization and analysis techniques is also important for this career shift.

Is QA Data Analyst a good career?

A QA Data Analyst role involves analyzing data to ensure quality and accuracy in products or processes, often requiring skills in data analysis tools like Excel, SQL, or Python. It can be a stable career with opportunities for advancement in data-driven industries, especially for those with strong analytical and problem-solving skills.
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What cities are hiring for Qa Data Analyst jobs?

Cities with the most Qa Data Analyst job openings:

What states have the most Qa Data Analyst jobs?

States with the most job openings for Qa Data Analyst jobs include:

Infographic showing various Qa Data Analyst job openings in the United States as of August 2026, with employment types broken down into 1% As Needed, 85% Full Time, 11% Part Time, and 3% Contract. Highlights an 85% Physical, 4% Hybrid, and 11% Remote job distribution, with an average salary of $82,640 per year, or $39.7 per hour.

Data Analyst

Analygence

Arlington, VA • On-site

Full-time

Re-posted 3 days ago


Job description

Tharros is actively pursuing an opportunity to support the Air Force Mission Assurance Construct Support (MACS) program, providing mission analysis, base assessment support, and data platform management services that strengthen the Air Force's Mission Assurance Construct.

Tharros is seeking an experienced Data Analyst to translate Mission Assurance data into decision-ready analytical products for senior Air Force and Department of War leadership. Where the Data Manager builds and sustains Mission Assurance data infrastructure, the Data Analyst operates at the analytical output layer - developing COA analyses, ROI-based risk models, decision-support briefings, and tasking packages that enable leaders to evaluate options and direct risk response actions. This position uses Palantir AI capabilities to develop and apply advanced analytical techniques in support of Mission Assurance decision-making.

Key Responsibilities

  • Develop decision-ready Mission Assurance analytical products that help senior Air Force and Department of War leaders understand, compare, and act on risks to mission execution.
  • Support development, documentation, and comparative evaluation of courses of action (COAs) to reduce, mitigate, transfer, or manage Mission Assurance risks under Government direction.
  • Build and apply ROI-based analytical models comparing COA alternatives by cost, benefit, timeline, implementation complexity, dependencies, and expected mission risk reduction.
  • Use Palantir AI and other advanced analytical techniques to assess COA options, model risk scenarios, automate analysis, and improve the timeliness and consistency of decision-support products.
  • Aggregate, normalize, prioritize, and analyze Mission Assurance risks across missions, capabilities, installations, and geographic regions to support enterprise-level visibility and comparison.
  • Maintain traceability among Mission Assurance risks, mission dependencies, critical capability data, assessment findings, recommended COAs, governance decisions, and execution status.
  • Prepare and deliver executive briefings, risk summaries, COA comparisons, monitoring products, and decision-support artifacts for AF/A33B, MAJCOMs, installation leaders, capability providers, and governance forums.
  • Translate complex analytical findings, data model outputs, and risk assessments into clear, actionable products accessible to senior military and civilian leaders.
  • Prepare, coordinate, track, and close tasking, staffing, and coordination packages related to Mission Assurance risk response actions using Government-directed tools such as TMT or successor systems.
  • Support Mission Assurance monitoring, reporting, dashboards, alerts, and analytical workflows that provide visibility into Task Critical Assets, mission dependencies, emerging conditions, and potential impacts to mission execution.