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Full Time Data Quality Analyst Jobs (NOW HIRING)

Data Quality Analyst Location: Remote Duration: 3-6+ months (possible extension) Position Summary We are seeking experienced Data Quality Analysts to join Medica's IT team. In this role, you will ...

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 ...

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 ...

... other full-time employees. * Handle data efficiently, ensuring its integrity throughout the ... Quality Assurance and Analysis: * Conduct manual quality analysis of model results. * Recognize ...

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 ...

... other full-time employees. * Handle data efficiently, ensuring its integrity throughout the ... Quality Assurance and Analysis: * Conduct manual quality analysis of model results. * Recognize ...

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 ...

... other full-time employees. * Handle data efficiently, ensuring its integrity throughout the ... Quality Assurance and Analysis: * Conduct manual quality analysis of model results. * Recognize ...

... 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 ...

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Full Time Data Quality Analyst information

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$34K

$82.6K

$136K

How much do full time data quality analyst jobs pay per year?

As of Jun 9, 2026, the average yearly pay for full time data quality 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.

What are Full Time Data Quality Analysts?

Full Time Data Quality Analysts are professionals responsible for ensuring the accuracy, consistency, and reliability of data within an organization. They work full-time to monitor data sources, identify data quality issues, and develop processes for data cleansing and validation. Their role often involves collaborating with data engineers, business analysts, and IT teams to maintain high data standards, support data-driven decision-making, and comply with regulatory requirements. By implementing data quality frameworks and using specialized tools, they help minimize errors and improve the value of organizational data.

What are some common challenges faced by Full Time Data Quality Analysts, and how are they typically addressed within a team?

Full Time Data Quality Analysts often encounter challenges such as dealing with inconsistent data sources, identifying root causes of data errors, and ensuring accuracy across large datasets. These challenges are usually addressed through close collaboration with data engineers, business analysts, and IT teams to establish data validation processes and implement data cleansing protocols. Regular communication, robust documentation, and the use of specialized data quality tools help analysts maintain high standards and quickly resolve any data integrity issues that arise.

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

A Full Time Data Quality Analyst typically needs strong analytical skills, attention to detail, and a background in statistics or computer science, often supported by a relevant degree. Familiarity with data management tools, SQL, Excel, and sometimes data quality or ETL software, as well as certifications like Certified Data Management Professional (CDMP), is common. Excellent problem-solving abilities, communication skills, and an inquisitive mindset help analysts collaborate across teams and address data issues proactively. These skills ensure the accuracy, integrity, and reliability of data, which are crucial for informed business decision-making.

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

AspectFull Time Data Quality AnalystData Analyst
CertificationsData Quality certifications, SQL, ExcelData Analysis certifications, SQL, Excel
Work EnvironmentFocus on data integrity, validation, and quality control in corporate or tech settingsData interpretation, reporting, and visualization across various industries
Employer UsageUsed in organizations prioritizing data accuracy and complianceUsed in diverse sectors for business insights and decision-making

While both roles require strong analytical skills and familiarity with data tools, a Full Time Data Quality Analyst primarily concentrates on ensuring data accuracy, consistency, and quality. In contrast, a Data Analyst focuses on interpreting data to generate insights and support business strategies. The roles often overlap but differ in their core objectives and daily tasks.

More about Full Time Data Quality Analyst jobs
What cities are hiring for Full Time Data Quality Analyst jobs? Cities with the most Full Time 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:
Infographic showing various Full Time Data Quality Analyst job openings in the United States as of May 2026, with employment types broken down into 78% Full Time, 21% Part Time, and 1% Contract. Highlights an 87% Physical, 3% Hybrid, and 10% Remote job distribution, with an average salary of $82,640 per year, or $39.7 per hour.

Full-time

Posted 20 days ago


Job description

Position: Data Quality Analyst
Location: Remote
This is remote role however we are looking for candidates based in central or mountain zone because that's what the timings they must work in.
Try to look for candidates from healthcare background.
What is in it for you?
Looking for a seasonal Data Quality Analyst who will ensure data accuracy, consistency, and reliability by performing data profiling, cleaning, validation, integration, and continuous monitoring while
collaborating with stakeholders to resolve data quality issues.
Roles and Responsibilities
• Data Profiling: Profiling is the process of looking at the structure, patterns, and content of data to find problems like missing information or mistakes. It helps analysts spot hidden issues that could affect the quality of the data.
• Data Cleaning: Cleaning involves correcting or excluding inaccurate, incomplete, or irrelevant data to maintain an error-free dataset for further analysis.
• Data Validation: is carried out to ensure that the data meets predefined standards and business rules. This process confirms that data is accurate, with all required fields populated, correct data types, and values within acceptable ranges.
• Data Integration: Integration is the merging of data from different sources into a unified view. A data quality analyst makes sure that data is consistent and compatible and resolves discrepancies that arise during the integration process.
• Data Monitoring: involves continuously tracking and data to confirm its accuracy, consistency, and reliability over time. A data quality analyst keeps an eye on the data at regular intervals to ensure its accuracy and consistency so that any new problems can be rapidly identified.
Educational Qualifications:
Engineering Degree - BE/ME/BTech/MTech/BSc/MSc.
Technical certification in multiple technologies is desirable.
Mandatory skills
• Requirement gathering, Requirement writing, good communication skills, SQL (Structured Query Language), ETL (extract, transform, and load) tool knowledge for data migration.
• Create and update requirements artifacts such as Solution Requirements Specifications, use cases, and other artifacts as needed for incorporating in google platform. Responsible for ensuring each artifact complies with quality standards set out by the Requirements Team leadership, and for conducting and facilitating requirements review sessions to ensure understanding across business and IT groups.
• Recommend Data quality rules, create data profiles, perform data cleaning and validation, data integration.
• Responsible for maintaining those requirements through the life of the project and raising awareness with mitigating strategies when issues arise that may impact budget or timelines.
• Validate and get all the requirements reviewed by client teams
• Act as a liaison between the delivery teams that are engaged in implementing the solution and the business partners that will be using the solution, as well as interact daily with development engineers and QA analysts.
• Desired Skills: Healthcare domain, Python, R
• Candidate should be fine to work in Central or Mountain times.