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Quality Assurance Data Manager Jobs (NOW HIRING)

$68K/yr

The manager oversees daily data processing and quality assurance procedures, providing analytical reviews and generating reports to meet contract benchmarks. The Data Manager will be expected to ...

Serve as the CHS-6 program's QA lead for planning, work product reviews, and quality audits ... Data Analysis * Root Cause Analysis * Process Improvement * Quality Management Systems * Quality ...

Strong Teradata experience (5+ years) Strong experience of Data Warehousing concepts and testing ... QA Data warehouse Strategy knowledge Experience of Agile development practices diagnostic and ...

Allergen management, hygiene programs, and GMP compliance * Ensure robust and compliant batch ... Data, Reporting & Continuous Improvement * Analyze QA data to identify trends in nonconformances ...

Oversee execution of QA programs including nonconformance and deviation management, CAPA ... Data, Reporting & Continuous Improvement * Analyze QA data to identify trends in nonconformances ...

Allergen management, hygiene programs, and GMP compliance * Ensure robust and compliant batch ... Data, Reporting & Continuous Improvement * Analyze QA data to identify trends in nonconformances ...

Allergen management, hygiene programs, and GMP compliance * Ensure robust and compliant batch ... Data, Reporting & Continuous Improvement * Analyze QA data to identify trends in nonconformances ...

QA Analyst

Denver, CO ยท 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 ...

Your Role The Quality Assurance Analyst is responsible for reviewing and evaluating key business ... Extract, clean, transform, and validate data for management reporting and business decision-making ...

Your Role The Quality Assurance Analyst is responsible for reviewing and evaluating key business ... Extract, clean, transform, and validate data for management reporting and business decision-making ...

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Quality Assurance Data Manager information

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$38K

$118.1K

$179K

How much do quality assurance data manager jobs pay per year?

As of Sep 11, 2026, the average yearly pay for quality assurance data manager in the United States is $118,074.00, according to ZipRecruiter salary data. Most workers in this role earn between $83,000.00 and $144,500.00 per year, depending on experience, location, and employer.

What is the difference between Quality Assurance Data Manager vs Quality Assurance Analyst?

AspectQuality Assurance Data ManagerQuality Assurance Analyst
CredentialsBachelor's degree in related field, experience with data management toolsBachelor's degree, knowledge of testing methodologies
Work EnvironmentOversees data quality processes, collaborates with data teamsPerforms testing, documents defects, reports findings
Industry UsageUsed in industries with large data sets like healthcare, biotech, pharmaceuticalsCommon in software, manufacturing, and healthcare sectors

The main difference is that a Quality Assurance Data Manager focuses on managing and ensuring the quality of data within an organization, often overseeing data integrity and compliance. In contrast, a Quality Assurance Analyst primarily conducts testing and identifies defects in products or systems. Both roles require similar credentials but differ in scope and responsibilities.

What cities are hiring for Quality Assurance Data Manager jobs?

Cities with the most Quality Assurance Data Manager job openings:

What states have the most Quality Assurance Data Manager jobs?

States with the most job openings for Quality Assurance Data Manager jobs include:

What are popular job titles related to Quality Assurance Data Manager jobs?

For Quality Assurance Data Manager jobs, the most frequently searched job titles are:

Staff QA Data Engineer (46_2026.2)

Manhattan, NY โ€ข On-site

Affinity Solutions, Inc.
Marketingย โ€ขย 51 - 200 employees

$110K - $125K/yr

Other

Medical, Dental, Vision, Life, Retirement

This job post hasย expired today.ย Applications are no longer accepted.


Job description

About the Role

The Staff QA Data Engineer is responsible for validating the accuracy, completeness, and reliability of data pipelines and analytical outputs. This role focuses on designing scalable QA frameworks, testing data transformations, and ensuring client-facing data products are correct and aligned to defined business logic.

Your Responsibilities Data Quality & Validation
  • Design and implement data validation frameworks to ensure accuracy and consistency across ingestion, transformation, and reporting layers.
  • Validate data transformations between OLTP and OLAP systems, including schema, logic, and aggregation correctness.
  • Execute end-to-end testing of data pipelines, from raw data ingestion through downstream reporting outputs.
  • Develop automated data quality checks to detect anomalies, breakages, and data drift.
Testing & QA Process
  • Define and maintain test plans and detailed test cases tied to specific data workflows and use cases.
  • Document validation logic, QA processes and testing methodologies for repeatability and auditability.
  • Establish standards for data quality metrics and acceptance criteria across datasets and reporting outputs.
Issue Resolution & Cross-Functional Work
  • Investigate data discrepancies, perform root cause analysis and resolve pipeline or transformation issues.
  • Partner with Data Engineering, Analytics, and Product teams to align on data definitions, transformations and validation requirements.
  • Validate clientโ€‘facing dashboards, reports and analytical outputs against source data and business logic.
  • Support validation of campaign performance data, reporting outputs, and QBR deliverables.
Your Qualifications
  • Bachelorโ€™s or Masterโ€™s degree in Computer Science, Data Analytics, Statistics, Mathematics or a related quantitative field.
  • 3+ years of experience in data QA, data analytics or data engineering support roles with handsโ€‘on responsibility for validating production datasets.
  • Advanced SQL skills used for data validation, reconciliation and anomaly detection across large datasets.
  • Experience testing data pipelines and transformations across multiple layers (ingestion, ETL/ELT, reporting).
  • Experience validating BI dashboards and reports (e.g., "Tableau"), including metric definitions and data consistency.
  • Experience building or maintaining automated data quality checks using Python or similar scripting languages.
  • Working knowledge of data modeling concepts, including differences between OLTP and OLAP systems.
  • Experience working with largeโ€‘scale datasets in cloud data environments (e.g., Redshift, Hive, EMR or equivalent).
  • Experience investigating and resolving data issues through structured root cause analysis.
Preferred Qualifications
  • Experience working with transactionโ€‘level datasets (e.g., credit/debit card data), loyalty data or consumer purchase data.
  • Experience validating marketing analytics, campaign performance data or programmatic advertising datasets.
  • Familiarity with data quality frameworks, monitoring tools or testing methodologies used in production data environments.
  • Experience in financial services, fintech or retail analytics environments.
Salary Range

$110,000 โ€“ $125,000

Office Hours

9am โ€“ 5:30pm

Benefits

Benefits for fullโ€‘time employees of Affinity Solutions begin on the first of the month following your date of hire with a generous employer contribution for medical, dental and vision. In addition to company paid holidays, wellness time off, other wellness benefits and employee discounts, you will also get employerโ€‘paid life insurance and have the option to enroll into an employerโ€‘matched 401K Plan. We strongly encourage work/life balance by providing unlimited vacation days, available starting 90 days from your hire date as a team member.

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