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Qa Data Analyst Jobs (NOW HIRING)

FieldAI

Product QA & Data Engineer

Irvine, CA · On-site

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 ...

FieldAI

Product QA & Data Engineer

Irvine, CA · On-site

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 ...

Unifin, Inc

Quality Assurance Analyst

Niles, IL

Extract, clean, transform, and validate data for management reporting and business decision-making ... Analyze performance from quality assurance data and communicate trends to management. * Share ...

Unifin, Inc

Quality Assurance Analyst

Niles, IL · On-site

Extract, clean, transform, and validate data for management reporting and business decision-making ... Analyze performance from quality assurance data and communicate trends to management. * Share ...

Unifin, Inc

Quality Assurance Analyst

Niles, IL · On-site

Extract, clean, transform, and validate data for management reporting and business decision-making ... Analyze performance from quality assurance data and communicate trends to management. * Share ...

EK Machine

QA Data Tech-P2

Fall River, WI · On-site

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 ...

R3 Tek

Data Analyst

Detroit, MI · On-site

$45/hr

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 ...

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 ...

Analygence

Data Analyst

Arlington, VA · On-site

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 ...

CYNET SYSTEMS

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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How much do qa data analyst jobs pay per year?

As of Sep 6, 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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Qa Data Analyst jobs near you
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 86% Physical, 3% Hybrid, and 11% Remote job distribution, with an average salary of $82,640 per year, or $39.7 per hour.

Product QA & Data Engineer

FieldAI

Irvine, CA • On-site

Full-time

Re-posted 27 days ago

Job description


Field AI is transforming how robots interact with the real world. We are building risk-aware, reliable, and field-ready AI systems that address the most complex challenges in robotics, unlocking the full potential of embodied intelligence. We go beyond typical data-driven approaches or pure transformer-based architectures, and are charting a new course, with already-globally-deployed solutions delivering real-world results and rapidly improving models through real-field applications.

We are seeking a highly detailed and technically proficient Product QA & Data Engineer to drive quality assurance and manage data delivery for our construction intelligence platform. In this dual-function role, you will be instrumental in ensuring the reliability of our software releases and the accuracy of the spatial data products delivered to our customers.

Operating as the definitive quality checkpoint, you will establish rigorous testing protocols for our application while taking ownership of the final data outputs. This role requires a blend of rigorous manual testing, the development of automated testing workflows, and the meticulous verification of complex 3D scan and BIM data.

What You Will Do:

  • Own quality assurance for all software releases, serving as the final gate to ensure robust performance and mitigate regressions prior to deployment.

  • Conduct comprehensive manual testing and engineer automated testing frameworks to consistently validate complex UI workflows and software functionality.

  • Identify, meticulously document, and triage software defects in issue-tracking systems (e.g., Jira), providing engineering teams with reproducible test cases and precise context.

  • Develop lightweight scripts and automation tools to streamline testing pipelines, optimize QA workflows, and enhance release consistency.

  • Establish and enforce rigorous standards for software reliability, performance, and user experience.

  • Own the end-to-end data quality and delivery process, ensuring all platform outputs meet strict accuracy and formatting standards before customer handoff.

  • Inspect, validate, and verify the integrity of 3D spatial data, point cloud processing, and architectural model comparisons within the platform.

  • Collaborate closely with engineering and data teams to resolve data-related anomalies, debug processing errors, and continuously improve data delivery pipelines.

What You Bring:

  • Bachelor’s degree in Computer Science, Engineering, Data Science, or a related technical discipline, with 2+ years of professional experience in software QA, test engineering, or data validation.

  • Demonstrated experience testing, troubleshooting, and validating complex software systems or data processing pipelines.

  • Hands-on proficiency with UI/UX automation and testing tools (e.g., TestComplete, Selenium, PostHog).

  • Exceptional organizational skills with a highly systematic approach to defect tracking, root-cause analysis, and technical documentation.

  • A strong sense of accountability and the professional confidence to uphold quality standards, including delaying software releases or data deliveries if criteria are unmet.

  • Excellent analytical and communication skills to effectively bridge the gap between technical teams and product requirements.

What Sets You Apart:

  • Industry experience or domain knowledge in construction technology, civil engineering, surveying, or industrial mapping.

  • Working knowledge of 3D point cloud data, spatial data formats, and Building Information Modeling (BIM).

  • Familiarity with foundational software development languages (e.g., JavaScript, HTML, CSS) to facilitate deeper technical troubleshooting and defect localization.

  • Applied scripting capabilities (e.g., Python, Bash) utilized to automate backend testing, data processing, or deployment workflows.

  • A proven track record of successfully integrating automated testing suites into CI/CD pipelines.

Our salary range is generous and we take into consideration an individual's background and experience in determining final salary; base pay offered may vary considerably depending on geographic location, job-related knowledge, skills, and experience. 

Why Join Field AI?
We are solving one of the world’s most complex challenges: deploying robots in unstructured, previously unknown environments. Our Field Foundational Models™ set a new standard in perception, planning, localization, and manipulation, ensuring our approach is explainable and safe for deployment.

You will have the opportunity to work with a world-class team that thrives on creativity, resilience, and bold thinking. With a decade-long track record of deploying solutions in the field, winning DARPA challenge segments, and bringing expertise from organizations like DeepMind, NASA JPL, Boston Dynamics, NVIDIA, Amazon, Tesla Autopilot, Cruise Self-Driving, Zoox, Toyota Research Institute, and SpaceX, we are set to achieve our ambitious goals.

Be Part of the Next Robotics Revolution
To tackle such ambitious challenges, we need a team as unique as our vision — innovators who go beyond conventional methods and are eager to tackle tough, uncharted questions. We’re seeking individuals who challenge the status quo, dive into uncharted territory, and bring interdisciplinary expertise. Our team requires not only top AI talent but also exceptional software developers, engineers, product designers, field deployment experts, and communicators.

We are headquartered in always-sunny Mission Viejo (Irvine adjacent), Southern California and have US based and global teammates. 

Join us, shape the future, and be part of a fun, close-knit team on an exciting journey!



We celebrate diversity and are committed to creating an inclusive environment for all employees. Candidates and employees are always evaluated based on merit, qualifications, and performance. We will never discriminate on the basis of race, color, gender, national origin, ethnicity, veteran status, disability status, age, sexual orientation, gender identity, marital status, mental or physical disability, or any other legally protected status.

We may use artificial intelligence (AI) tools to support parts of the hiring process, such as reviewing applications, analyzing resumes, or assessing responses and identifying potential inconsistencies or verification signals in application materials based on available information. These tools assist our recruitment team but do not replace human judgment. Final hiring decisions are ultimately made by humans. If you would like more information about how your data is processed, please contact us.