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Qa Data Analyst Jobs (NOW HIRING)

Felton Institute

Quality Assurance Data Manager

Oakland, CA · On-site

$100K - $130K/yr

Quality Assurance Data Manager (Part Time) Triage, Consultation, and Wellness Response Team (TCWRT ... Work with Program Manager & Analytics Team to maintain the program's data infrastructure, including ...

Derex Technologies, Inc.

QA Data Engineer

Cincinnati, OH · On-site

$109K - $131K/yr

Position : QA Data Engineer Location : Cincinnati, OH Job : Onsite * 10+ years over all experience required * Data migration experience required * Need strong experience in wring SQL queries Regards ...

Derex Technologies Inc

QA Data Engineer

Cincinnati, OH · On-site

$109K - $131K/yr

Position : QA Data Engineer Location : Cincinnati, OH Job : Onsite * 10+ years over all experience required * Data migration experience required * Need strong experience in wring SQL queries Regards ...

Derex Technologies Inc

QA Data Engineer

Cincinnati, OH · On-site

$109K - $131K/yr

Position : QA Data Engineer Location : Cincinnati, OH Job : Onsite * 10+ years over all experience required * Data migration experience required * Need strong experience in wring SQL queries Regards ...

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 ...

giftHEALTH Inc

QA Specialist - Virtual Hub

Columbus, OH · On-site

$65K - $79K/yr

Analyze QA data trends by agent, team, program, and call type to identify systemic risks and coaching opportunities. * Build and maintain QA dashboards/reporting for leadership visibility into call ...

Analygence

Data Analyst

Arlington, VA · On-site

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 ...

Cambrex

QA Data Coordinator

Charles City, IA · On-site

... 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.

Cambrex

QA Data Coordinator

Charles City, IA

... 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.

Cambrex

QA Data Coordinator

Charles City, IA · On-site

... 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.

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 ...

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How much do qa data analyst jobs pay per year?

As of Aug 12, 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.

Is QA Data Analyst a good career?

A QA Data Analyst role involves analyzing data quality and testing processes to ensure accuracy and reliability, often requiring skills in SQL, data visualization, and testing tools. It can be a stable career with opportunities for advancement in data management and quality assurance fields. The role typically offers a structured schedule and may require certifications in data analysis or quality assurance.

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, Python, or R. Gaining experience with data visualization and analytics platforms can also facilitate this career move, as both roles involve working with data to identify insights and improve processes.

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.
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What cities are hiring for Qa Data Analyst jobs? Cities with the most Qa Data Analyst job openings:
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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, 84% Full Time, 11% Part Time, and 4% Contract. Highlights an 86% Physical, 4% Hybrid, and 10% Remote job distribution, with an average salary of $82,640 per year, or $39.7 per hour.

QA Data Analyst & Telemetry Specialist IV

Cypress HCM

Mountain View, CA

$78.12 - $86.02/hr

Full-time

Re-posted 12 days ago

Job description


QA Data Analyst & Telemetry Specialist IV
Description:
  • We’re looking for a QA Data Analyst & Telemetry Specialist to help drive our product quality efforts through insightful data analysis, robust reporting, and close collaboration with engineering teams. This hybrid role combines skills in data analysis, log exploration, instrumentation design, and reporting. You'll investigate product behavior through telemetry, create dashboards and written reports to surface quality risks, and support the QA team in prioritizing and validating work with data-driven confidence. You’ll be the team’s go-to person for turning raw signals into clear, actionable dashboards, ad-hoc investigations, and concise written reports that inform leadership and cross-functional teams.
Duties:
  • Data Analysis & Log Investigation
  • Hunt down the right logs, trace product issues across environments, and analyze patterns in system behavior to support QA investigations and test coverage strategy.
  • Instrumentation Partnership
  • Collaborate with engineers to define, scope, and validate telemetry requirements to ensure the right data is being captured for quality signals.
  • Dashboards & Visualization
  • Design and maintain clear, role-specific dashboards that reflect test results, coverage trends, performance metrics, and release health.
  • Written Reports
  • Produce structured reports and summaries that combine narrative, visuals, and metrics to tell a complete story about product quality, test outcomes, and production health.
  • Root Cause Support
  • Assist QA and dev teams with root cause investigations using log data, traces, metrics, and real-world usage patterns.
  • Cross-Team Collaboration
  • Partner with QA, Engineering, Product, and Data teams to align on what signals matter and how they’re consumed across tools and stakeholders.
  • Quality Metrics Development
  • Define and refine KPIs around bug trends, feature coverage, regressions, and release readiness to guide strategic QA direction.
Requirements:
  • Min of 7 years professional experience total with 3-5 years of experience of recent cross functional experience, ideally in large corporation environments or large teams.
  • Strong hands-on experience with data analysis (SQL, Python, R, or similar)
  • Skilled in producing clear visualizations (e.g., Superset, Plotly, Tableau, Looker, Grafana, Power BI)
  • Able to write concise reports with actionable insights — weekly summaries, defect overviews, quality scorecards, etc.
  • Familiar with log analysis tools (e.g., Sumologic, Splunk, Datadog, Kibana, ElasticSearch)
  • Comfortable discussing and designing instrumentation/logging with engineers
  • Familiarity with QA concepts, release validation, and production monitoring
  • Strong communication skills; can adapt output to technical and non-technical audiences
  • Bonus Points:
  • Background in QA, test automation, or release engineering
  • Experience with OpenTelemetry, distributed tracing, or event-driven logs
  • Experience in continuous delivery environments with real-time observability needs
  • Prior involvement in incident reviews or quality postmortems
  • Bachelor’s degree (or higher) in one of the following fields is preferred:
Computer Science, Data Science, Information Systems, Software Engineering, Statistics or Applied Mathematics
  • Electrical or Computer Engineering Equivalent practical experience is also welcome — especially in QA, data analysis, SRE, or systems engineering roles.
  • Relevant certifications (e.g., Data Analytics, SQL, Tableau, or Observability/Monitoring tools) are a plus.
Compensation:
  • $78.12 – 86.02/hr W—2
Req ID:
  • 36209620
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About Cypress HCM

Sourced by ZipRecruiter

We deliver consistently superior recruiting by virtue of trusting, communicative relationships with companies and candidates alike. From Fortune 100s to startups, clients lean on us to fulfill their range of needs from contract to full-time positions. With an intimate knowledge of the industries we serve, a keen sense of what makes for high-performing talent in any role, and shared sense of urgency, our clients will tell you: your solution begins here.

Industry

Recruiting and staffing services

Company size

51 - 200 Employees

Headquarters location

Walnut Creek, CA, US

Year founded

2005

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