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Qa Data Analyst Jobs in California (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 ...

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 ...

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All JobsQa Data Analyst JobsQa Data Analyst Jobs in California

Qa Data Analyst information

See California salary details

$33.6K

$81.6K

$134.2K

How much do qa data analyst jobs pay per year?

As of Aug 21, 2026, the average yearly pay for qa data analyst in California is $81,558.00, according to ZipRecruiter salary data. Most workers in this role earn between $61,700.00 and $95,700.00 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.

What are popular job titles related to Qa Data Analyst jobs in California?

For Qa Data Analyst jobs in California, the most frequently searched job titles are:

What job categories do people searching Qa Data Analyst jobs in California look for?

The top searched job categories for Qa Data Analyst jobs in California are:

What cities in California are hiring for Qa Data Analyst jobs?

Cities in California with the most Qa Data Analyst job openings:

Qa Data Analyst jobs near you
Infographic showing various Qa Data Analyst job openings in California as of August 2026, with employment types broken down into 100% Full Time. Highlights an 100% In-person job distribution, with an average salary of $81,558 per year, or $39.2 per hour.

QA Data Analyst & Telemetry Specialist IV

Cypress HCM

Mountain View, CA

$78.12 - $86.02/hr

Full-time

Re-posted 21 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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