1

Qa Data Analyst Jobs (NOW HIRING)

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 ...

Collect and organize QA information and procedures Knowledgeable of ICD-10 coding Analyze QA data, research and develop solutions to issues and problems as they arise Coordinate with management team ...

Analyze data to identify areas for improvement in the quality system. Develop, recommend, and ... QA Must be able to work in the U.S. Competencies Excellent communication and follow-up skills ...

Analyze data to identify areas for improvement in the quality system. Develop, recommend, and ... QA Must be able to work in the U.S. Competencies Excellent communication and follow-up skills ...

QA Analyst Posting Start Date: 8/12/26 Division: QSE Location Type: On-Site Pay Min: 25.00 USD Pay ... Conducts data analysis to identify trends and patterns. Leads continuous improvement efforts and ...

QA Analyst Posting Start Date: 8/18/26 Division: QSE Location Type: On-Site Pay Min: 25.00 USD Pay ... Conducts data analysis to identify trends and patterns. Leads continuous improvement efforts and ...

The QA Analyst performs inspections, audits, and data analysis to verify accuracy of records, accountability of equipment, and compliance with Army supply, maintenance, and property accountability ...

The QA Analyst performs inspections, audits, and data analysis to verify accuracy of records, accountability of equipment, and compliance with Army supply, maintenance, and property accountability ...

The QA Analyst performs inspections, audits, and data analysis to verify accuracy of records, accountability of equipment, and compliance with Army supply, maintenance, and property accountability ...

... QA Analyst will support and maintain Background Record Check (BRC) applications by performing ... Test Data Management * Design and create complex test datasets to support application testing ...

New

Showing results 41-60

QA Data Analyst information

See salary details

$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.
More about QA Data Analyst jobs

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.

Senior Quality Assurance Engineer - Data & Analytics

Hexagon AB

Houston, TX • On-site

Full-time

Posted 8 days ago


Job description

Senior Quality Assurance Engineer - Data & Analytics
Job Location (Short): Houston, Texas-USA | Madison, Alabama-USA
Workplace Type: Remote
Req Id: 2762
Responsibilities
Is testing data your jam?
Do mismatched totals bother you until you find the exact transformation, relationship, or filter that caused them? Do you enjoy tracing data from a source table through an ETL pipeline, stored procedure, semantic model, and Power BI dashboard? Can you spot the difference between bad source data, faulty SQL, and a broken report?
If so, this may be your kind of role.
Octave is looking for a Senior Quality Assurance Engineer who knows that a polished dashboard is only as trustworthy as the data behind it. You'll help ensure the accuracy, reliability, and performance of analytics used across our global Public Safety software portfolio, including the HxGN OnCall application suite.
Embedded within an Agile delivery team, you'll own quality across data pipelines, reporting platforms, dashboards, and analytics services. You'll work alongside Developers, Data Engineers, Product Owners, and Scrum Masters to uncover risks early and ensure operational data can be trusted when it matters most.
Experience in Public Safety, emergency response, or another mission-critical environment is especially valuable.
What you'll do
-Serve as the embedded quality expert on an Agile/SAFe team delivering analytics and reporting capabilities.
-Collaborate with Product Owners, Data Engineers, and Developers to shape user stories, acceptance criteria, data mappings, and validation scenarios.
-Design and execute tests for ETL pipelines, data transformations, reports, dashboards, semantic models, and analytics services.
-Trace data from source systems through pipelines, database objects, reporting models, and final visualizations.
-Use SQL to validate accuracy, completeness, transformations, aggregations, nulls, duplicates, and source-to-target reconciliation.
-Test Power BI reports and dashboards, including measures, filters, relationships, drill-through behavior, refreshes, and KPI calculations.
-Diagnose whether reporting discrepancies originate in source data, ETL logic, SQL, semantic models, or visual configurations.
-Validate pipeline failure handling, reruns, partial loads, performance, and recovery scenarios.
-Perform functional, integration, regression, and exploratory testing throughout each sprint.
-Document and triage defects with clear reproduction steps, data samples, reconciliation queries, and impact assessments.
-Help establish analytics-testing standards, reusable validation practices, and effective test-data strategies.
-Maintain test cases, defects, and traceability in Azure DevOps while actively participating in Agile ceremonies.
Education / Qualifications
-At least five years of experience in software QA, data QA, or software testing within Agile teams.
-Hands-on experience testing ETL pipelines, analytics platforms, reporting systems, or other data-intensive applications.
-Strong SQL skills, including joins, aggregations, duplicate detection, source-to-target reconciliation, and validation of views and stored procedures.
-Practical experience testing Power BI reports and dashboards-not simply viewing or consuming them.
-The ability to trace a reported value from a visualization back through its measure, model, database objects, transformation logic, and source data.
-Familiarity with Power BI measures, filter context, relationships, refreshes, and gateways.
-A strong understanding of QA methodologies, test design, risk-based testing, and defect management.
-Strong investigative, problem-solving, and communication skills.
-A proactive, accountable approach and the curiosity to keep expanding your technical skills.
Even better if you have
-Experience with Public Safety, emergency response, or other mission-critical systems.
-Experience testing SSIS, SSAS, or Azure Data Factory pipelines.
-Knowledge of dimensional modeling, fact and dimension tables, slowly changing dimensions, or medallion architectures.
-Experience with Power BI semantic models, DAX, row-level security, gateways, or deployment troubleshooting.
-Experience building automated tests with Playwright and TypeScript.
-Experience with API testing, CI pipelines, or cloud-based data architectures-particularly Microsoft Azure.
Education
-A bachelor's degree in Computer Science, Information Systems, Data Analytics, or a related technical field-or equivalent professional experience.
Location and interview requirements
-Fully remote opportunity for the right candidate.
-Participation in an in-person interview and/or completion of mandatory in-person training are required conditions of employment.
#LI-PB1
LI-Remote
#SIG2026
About Octave
Octave provides mission-critical software that empowers organizations to make informed decisions across every stage of the asset lifecycle - Design, Build, Operate and Protect - where performance, safety, and reliability are non-negotiable and failure is not an option.
Turning complex operational data into actionable intelligence, Octave connects expertise, real-world conditions and enterprise-scale insight to improve performance, resilience and incident response where it matters most.
Octave has more than 7,000 employees in 45 countries. Learn more at octave.com and follow us on LinkedIn.
Why work for Octave?
All in. Always forward. That's the way we do things around here. We put trust in our people because we believe it's the best way to unleash potential, bring ideas to life, and keep moving ahead. And it's why we're committed to creating an environment that's truly supportive, providing you with the resources you need to support your ambitions, no matter who you are or where you are in the world.
Everyone is welcome
At Octave, we believe that diverse and inclusive teams are critical to the success of our people and our business. Here, everyone is welcome. As an inclusive workplace, we don't discriminate. In fact, we embrace differences and are fully committed to creating equal opportunities, an inclusive environment, and fairness for all.
Respect is the cornerstone of how we operate, so speak up and be yourself. You're valued here.
Recruitment Fraud Alert
Octave posts all official job opportunities on either https://careers.octave.com/ or https://www.octave.com/about/careers and communicates only from email addresses ending in @octave.com. We never request payment or personal banking information during recruitment. No offers will ever be extended without a proper interview via Teams or in person, never done over email alone. If you suspect fraud, it probably is, and contact us at careers@octave.com