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Quality Management Data Analyst Jobs (NOW HIRING)

Senior Data Analyst- Enterprise

Chicago, IL · On-site

$88K - $111K/yr

Senior Data Analyst- Enterprise At Capital One, data is at the center of everything we do. When we ... Drive an understanding and adherence to the principles of data quality management including ...

... Data quality analysis o Root cause investigation o Functional requirements gathering * · Hands-on experience validating ETL/Data Pipeline outputs * · Strong understanding of: o Wealth Management ...

Senior Data Analyst-Tech Analytics

Mclean, VA · On-site

$86K - $109K/yr

Senior Data Analyst-Tech Analytics At Capital One, data is at the center of everything we do. When ... Drive an understanding and adherence to the principles of data quality management including ...

Sr. Associate, Data Analyst - Risk

Richmond, VA · On-site

$85K - $107K/yr

Sr. Associate, Data Analyst - Risk At Capital One, data is at the center of everything we do. When ... Drive an understanding and adherence to the principles of data quality management including ...

Sr. Associate, Data Analyst - Risk

Mclean, VA · On-site

$86K - $109K/yr

Sr. Associate, Data Analyst - Risk At Capital One, data is at the center of everything we do. When ... Drive an understanding and adherence to the principles of data quality management including ...

Data Analyst

Lake Mary, FL · On-site

$55 - $62/hr

Candidate must have very good experience with MDM (Master Data Management) Conceptual with Payments Exp. Skills Mandatory Skills: Data Analysis, MDM Conceptual 10-year experience on data analytical ...

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Quality Management Data Analyst information

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How much do quality management data analyst jobs pay per hour?

As of Jun 13, 2026, the average hourly pay for quality management data analyst in the United States is $41.44, according to ZipRecruiter salary data. Most workers in this role earn between $27.88 and $54.33 per hour, depending on experience, location, and employer.

Is QA analyst an entry level job?

A QA analyst role can be entry level or require some experience, depending on the organization. Entry-level QA analysts typically need basic knowledge of testing processes, tools, and quality standards, and may require relevant certifications or training. More complex or senior QA analyst positions often demand prior experience and specialized skills.

Can a QA analyst become a data analyst?

A QA analyst can transition to a data analyst role by developing skills in data analysis tools such as Excel, SQL, and statistical software, as well as gaining knowledge of data visualization and programming languages like Python or R. Both roles involve analyzing data, but a data analyst typically requires a stronger focus on data manipulation, statistical methods, and reporting techniques.

What is the QA analyst salary?

The salary for a Quality Management Data Analyst typically ranges from $60,000 to $90,000 annually, depending on experience, location, and industry. Entry-level positions may start lower, while experienced analysts with certifications can earn higher salaries. Skills in data analysis tools and quality management systems can also influence compensation.

What are some common challenges faced by Quality Management Data Analysts, and how can they be addressed?

Quality Management Data Analysts often encounter challenges such as ensuring data accuracy across multiple sources, interpreting complex datasets, and communicating findings to non-technical stakeholders. To address these challenges, it’s important to implement rigorous data validation processes, maintain clear documentation, and develop strong collaboration skills with team members in quality assurance, operations, and IT. Proactively seeking feedback and staying updated on industry best practices can also help analysts deliver meaningful insights and drive continuous improvement.

What are the key skills and qualifications needed to thrive as a Quality Management Data Analyst, and why are they important?

To thrive as a Quality Management Data Analyst, you need strong analytical skills, a background in statistics or data science, and typically a relevant degree such as in mathematics, business, or information systems. Familiarity with data analysis tools like SQL, Excel, Tableau, and quality management systems, as well as relevant certifications such as Six Sigma or Lean, is highly valuable. Attention to detail, problem-solving ability, and effective communication are critical soft skills for interpreting data and collaborating with cross-functional teams. These competencies are essential for ensuring data-driven quality improvements, supporting compliance, and optimizing organizational processes.

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

AspectQuality Management Data AnalystQuality Assurance Analyst
CertificationsSix Sigma, ISO Auditor, Data Analysis CertificationsSix Sigma, ISO Auditor, QA Certifications
Work EnvironmentData-focused, analytical settings, offices, labsTesting environments, production lines, offices
Industry UsageManufacturing, healthcare, tech companiesManufacturing, software, healthcare

The main difference is that a Quality Management Data Analyst primarily focuses on analyzing data to improve quality processes, while a Quality Assurance Analyst conducts testing and inspections to ensure product quality. Both roles require similar certifications and are used across industries like manufacturing and healthcare, but their core responsibilities differ in focus and daily tasks.

What does a quality data analyst do?

A quality data analyst collects, analyzes, and interprets data related to product or service quality to identify trends, issues, and opportunities for improvement. They use tools like Excel, SQL, or data visualization software to generate reports and support quality management processes, often working closely with cross-functional teams to ensure standards are met.

What does a Quality Management Data Analyst do?

A Quality Management Data Analyst is responsible for collecting, analyzing, and interpreting data related to quality processes within an organization. They help identify trends, measure the effectiveness of quality control systems, and recommend improvements to enhance product or service quality. Their work supports decision-making by providing actionable insights from data, ensuring compliance with industry standards, and helping organizations achieve continuous improvement in their operations.
More about Quality Management Data Analyst jobs
Senior Data Analyst- Enterprise

Senior Data Analyst- Enterprise

Capital One

Chicago, IL • On-site

$88K - $111K/yr

Full-time

Posted 21 days ago


Capital One rating

7.7

Company rating: 7.7 out of 10

Based on 135 frontline employees who took The Breakroom Quiz

73rd of 141 rated banks


Job description

Senior Data Analyst- Enterprise

At Capital One, data is at the center of everything we do. When we launched as a startup we disrupted the credit card industry by individually personalizing every credit card offer using statistical modeling and the relational database, cutting edge technology in 1988! Fast-forward a few years, and this little innovation and our passion for data has skyrocketed us to a Fortune 200 company and a leader in the world of data-driven decision-making.

As a Data Analyst at Capital One you will leverage analytic and technical skills to innovate, build, and maintain well-managed data solutions and capabilities to tackle business problems.

On any given day you will be challenged by three types of work - Innovation, Business Intelligence and Data Management:

Innovation

  • Use Open Source/Digital technologies to mine complex, voluminous, and different varieties of data sources and platforms

  • Build well-managed data solutions, tools, and capabilities to enable self-service frameworks for data consumers

  • Demonstrate ability to explore and quickly grasp new technologies to progress varied initiatives

Business Intelligence

  • Partner with the business to provide consultancy and translate the business needs to design and develop tools, techniques, metrics, and dashboards for insights and data visualization

  • Drive analysis that provides meaningful insights on business strategies

Data Management

  • Drive an understanding and adherence to the principles of data quality management including metadata, lineage, and business definitions

  • Work collaboratively with appropriate Tech teams to manage security mechanisms and data access governance

  • Build and execute tools to monitor and report on data quality

Our ideal candidate will have:

  • Degree specialized in a Science, Technology, Engineering, Mathematics discipline

  • Scripting experience in (Python, R, Spark, and SQL)

  • Strong desire and experience with data in various forms (data warehouses/SQL, unstructured data)

  • Experience utilizing and developing within Snowflake services

Basic Qualifications:

  • Currently has, or is in the process of obtaining a Bachelor's Degree in quantitative field (Statistics, Economics, Operations Research, Analytics, Mathematics, Computer Science or a related quantitative field) plus at least 2 years of experience performing data analytics, or currently has, or is in the process of obtaining a Master's Degree with an expectation that required degree will be obtained on or before the scheduled start date.

  • At least 1 year of experience working with at least one scripting language

  • At least 1 year of experience utilizing business intelligence visualization tool

  • At least 1 year of experience querying, analyzing and working with data languages and platforms

Preferred Qualifications:

  • Master's Degree in a Science, Technology, Engineering, Mathematics discipline

  • At least 2 years of experience coding in Python, R, Spark, or SQL

  • At least 2 years of experience working within process management and improvement methodologies - Agile, Lean, Six Sigma, etc.

  • At least 1 year of experience utilizing and developing within AWS services

  • At least 1 year of experience working with and demonstrating knowledge of data governance, data quality management concepts and data quality tools (i.e. Informatica DQ)

Capital One will consider sponsoring a new qualified applicant for employment authorization for this position.

The minimum and maximum full-time annual salaries for this role are listed below, by location. Please note that this salary information is solely for candidates hired to perform work within one of these locations, and refers to the amount Capital One is willing to pay at the time of this posting. Salaries for part-time roles will be prorated based upon the agreed upon number of hours to be regularly worked.

McLean, VA: $111,200 - $126,900 for Sr. Data Analyst


Richmond, VA: $101,100 - $115,400 for Sr. Data Analyst


Chicago, IL: $101,100 - $115,400 for Sr. Data Analyst









Candidates hired to work in other locations will be subject to the pay range associated with that location, and the actual annualized salary amount offered to any candidate at the time of hire will be reflected solely in the candidate's offer letter.

This role is also eligible to earn performance based incentive compensation, which may include cash bonus(es) and/or long term incentives (LTI). Incentives could be discretionary or non discretionary depending on the plan.

Capital One offers a comprehensive, competitive, and inclusive set of health, financial and other benefits that support your total well-being. Learn more at theCapital One Careers website. Eligibility varies based on full or part-time status, exempt or non-exempt status, and management level.

This role is expected to accept applications for a minimum of 5 business days.No agencies please. Capital One is an equal opportunity employer (EOE, including disability/vet) committed to non-discrimination in compliance with applicable federal, state, and local laws. Capital One promotes a drug-free workplace. Capital One will consider for employment qualified applicants with a criminal history in a manner consistent with the requirements of applicable laws regarding criminal background inquiries, including, to the extent applicable, Article 23-A of the New York Correction Law; San Francisco, California Police Code Article 49, Sections 4901-4920; New York City's Fair Chance Act; Philadelphia's Fair Criminal Records Screening Act; and other applicable federal, state, and local laws and regulations regarding criminal background inquiries.

If you have visited our website in search of information on employment opportunities or to apply for a position, and you require an accommodation, please contact Capital One Recruiting at 1-800-304-9102 or via email at RecruitingAccommodation@capitalone.com. All information you provide will be kept confidential and will be used only to the extent required to provide needed reasonable accommodations.

For technical support or questions about Capital One's recruiting process, please send an email to Careers@capitalone.com

Capital One does not provide, endorse nor guarantee and is not liable for third-party products, services, educational tools or other information available through this site.

Capital One Financial is made up of several different entities. Please note that any position posted in Canada is for Capital One Canada, any position posted in the United Kingdom is for Capital One Europe and any position posted in the Philippines is for Capital One Philippines Service Corp. (COPSSC).


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