ZipRecruiter

Log In

1

Data Quality Analyst Jobs (NOW HIRING)

Curant Health

Data Quality Analyst

Smyrna, GA · On-site

Position Summary Curant Health is seeking a highly skilled Data Quality Analyst with strong expertise in validating data accuracy, completeness, and consistency across multiple data sources. This ...

Welocalize, Inc.

Data Quality Analyst

New York, NY

Annotate data accurately, ensuring it adheres to set guidelines. Quality Assurance and Analysis: * Conduct manual quality analysis of model results. * Recognize error patterns and report anomalies ...

AIG

Data Quality Analyst - GenAI

Atlanta, GA

Data Quality Analyst - GenAI Be part of something groundbreaking At AIG, we are making long-term investments in a brand-new, innovative Generative AI team , designed to explore new possibilities for ...

Watts

Data Quality Analyst

Andover, MA · On-site

$24 - $30/hr

Scope of Position The Data Quality Analyst is accountable for ensuring the accuracy, completeness, consistency, and reliability of our data assets. They play a key role in maintaining high data ...

Collabera

Data Quality Analyst

Plano, TX

CW Customer Data Quality Analyst Location: Plano, TX Duration: 6+ Months Pay Rate: OPEN to discuss on W2 basis This is a business (as opposed to technical) role, A recent college grad with maybe a ...

Watts

Data Quality Analyst

Andover, MA · On-site

$24 - $30/hr

Scope of Position The Data Quality Analyst is accountable for ensuring the accuracy, completeness, consistency, and reliability of our data assets. They play a key role in maintaining high data ...

LOG-NET, Inc.

Data Quality Analyst

Atlanta, GA · On-site

... quality control standards are maintained and setting and maintaining agreed upon service level of ... Compile and analyze data related to business'/EDI issues Be able to fully understand LOG-NET ...

LOG-NET, Inc.

Data Quality Analyst

Atlanta, GA · On-site

... quality control standards are maintained and setting and maintaining agreed upon service level of ... Compile and analyze data related to business'/EDI issues Be able to fully understand LOG-NETs ...

Figure

Data Quality Analyst

San Jose, CA

$30/hr

We are looking for Data Quality Analyst to help us in our efforts to annotate and label our data for AI training applications. Responsibilities: * Use proprietary annotation tools to label objects ...

LOG-NET, Inc.

Data Quality Analyst

Atlanta, GA

... quality control standards are maintained and setting and maintaining agreed upon service level of ... Compile and analyze data related to business'/EDI issues Be able to fully understand LOG-NET ...

Figure

Data Quality Analyst

San Jose, CA · On-site

$30/hr

We are looking for Data Quality Analyst to help us in our efforts to annotate and label our data for AI training applications. Responsibilities: * Use proprietary annotation tools to label objects ...

next page

Showing results 1-20

All JobsData Quality Analyst Jobs

Data Quality Analyst information

See salary details

$20

$48

$71

How much do data quality analyst jobs pay per hour?

As of Jun 29, 2026, the average hourly pay for data quality analyst in the United States is $48.43, according to ZipRecruiter salary data. Most workers in this role earn between $34.62 and $60.34 per hour, depending on experience, location, and employer.

What are some common challenges Data Quality Analysts face when handling large datasets, and how can they be addressed?

Data Quality Analysts often encounter challenges such as inconsistent data formats, missing values, and duplicate records when working with large datasets. Addressing these issues requires a combination of automated data profiling tools, well-defined data governance procedures, and close collaboration with data engineers and business stakeholders. Regular communication and clear documentation help ensure data standards are maintained and issues are quickly identified and resolved, ultimately supporting more reliable business decision-making.

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

A Data Quality Analyst requires strong analytical skills, attention to detail, and a background in data management or statistics, often supported by a relevant degree. Familiarity with data profiling tools, SQL, Excel, and data quality management systems, as well as certifications like CDMP, are typically needed. Excellent problem-solving abilities, communication skills, and a proactive mindset help analysts identify and resolve data issues effectively. These competencies ensure organizational data is accurate, reliable, and actionable, which is critical for informed decision-making.

Is a data analyst highly paid?

Data analysts typically earn competitive salaries that vary by industry, experience, and location. They often require skills in data visualization, SQL, and Excel, and can advance to higher-paying roles such as data scientist or data manager.

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

AspectData Quality AnalystData Analyst
Primary FocusEnsuring data accuracy, completeness, and reliabilityAnalyzing data to identify trends and support decision-making
Skills & CertificationsData quality tools, SQL, data governance certificationsData visualization, statistical analysis, SQL
Work EnvironmentData governance teams, IT departmentsBusiness units, analytics teams
Industry UsageFinance, healthcare, retail, where data integrity is criticalMarketing, finance, operations, for insights and reporting

While both roles work with data, Data Quality Analysts focus on maintaining data integrity and quality standards, whereas Data Analysts interpret data to generate insights. Both roles often collaborate but serve different core functions within organizations.

Is AI replacing data analysts?

AI is automating certain tasks within data analysis, such as data cleaning and pattern recognition, but it does not replace the need for data analysts. Data analysts are essential for interpreting insights, making strategic decisions, and managing complex datasets that require human judgment and domain expertise. The role continues to evolve with new tools, emphasizing skills in data visualization, programming, and critical thinking.

Is 40 too old to become a data analyst?

Age is not a barrier to becoming a data quality analyst or data analyst, as the field values skills such as data analysis, SQL, and Excel, which can be learned at any age. Many professionals successfully transition into data roles later in their careers by gaining relevant certifications and experience. Employers focus on skills and experience rather than age, making it possible to start a data analyst career at 40 or older.

What are Data Quality Analysts?

Data Quality Analysts are professionals responsible for ensuring the accuracy, consistency, and reliability of data within an organization. They analyze data sets to identify errors, inconsistencies, or gaps and develop processes for improving data quality. Their work often involves monitoring data flows, creating data quality reports, and collaborating with teams to implement data governance standards. By maintaining high-quality data, they help organizations make informed decisions and meet regulatory requirements.

What do data quality analysts do?

Data quality analysts are responsible for assessing, monitoring, and improving the accuracy, completeness, and reliability of data within an organization. They use tools like data profiling and validation techniques to identify issues and ensure data meets quality standards, often working with databases and data management software. Strong analytical skills and attention to detail are essential for this role.
More about Data Quality Analyst jobs
What cities are hiring for Data Quality Analyst jobs? Cities with the most Data Quality Analyst job openings:
What are the most commonly searched types of Data Quality Analyst jobs? The most popular types of Data Quality Analyst jobs are:
Who are the top companies hiring for Data Quality Analyst jobs? The top employers for Data Quality Analyst jobs are:
What states have the most Data Quality Analyst jobs? States with the most job openings for Data Quality Analyst jobs include:
What job categories do people searching Data Quality Analyst jobs look for? The top searched job categories for Data Quality Analyst jobs are:
What are popular job titles related to Data Quality Analyst jobs? For Data Quality Analyst jobs, the most frequently searched job titles are:
Data Quality Analyst jobs near you

Senior Data Quality Analyst

campus4tech

Indianapolis, IN • On-site

Full-time

Posted 2 days ago

Job description

Job Title: Senior Data Quality Analyst
Job Location: Indianapolis IN, 46204
Job Location: Hybrid
Contract Duration: 12 Months
Note: W2 and C2C candidates both can apply for the role.
Candidate must be currently residing in Indiana location or they must have a local address of Indiana as client is looking for local candidates for this role.
Job Description
The Senior Data Quality Analyst supports the accuracy, completeness, and timeliness of immunization information systems (IIS). This role ensures that data submitted by healthcare providers is validated, standardized, and transformed into actionable insights. A strong foundation in T-SQL is essential for managing large data sets, troubleshooting data quality issues, and developing automated validation processes.
Essential Duties/Responsibilities:
• Analyze and assess data quality across multiple systems and data sources.
• Develop and execute data validation and cleansing routines using SQL/T-SQL and other tools.
• Identify, document, and resolve data quality issues and anomalies.
• Collaborate with data owners and stewards to define data quality rules and standards.
• Create and maintain data quality dashboards and reports.
• Support data governance efforts by contributing to metadata management and data lineage documentation.
• Participate in root cause analysis and recommend process improvements to prevent recurring data issues.
• Work with stakeholders to understand data requirements and ensure data meets business needs.
• Develop data quality dashboards, reports, and performance metrics to track provider compliance and system accuracy.
• Preparing reports for leadership that effectively communicate trends, patterns, and predictions using relevant data.

Apply